Lab 1 Determination of Material Properties Ting Zhang – First Author, Abstract, Experimental Theory, Results, Error Analysis Kanchan Bhattacharyya – Discussion, Conclusion Matthew Steven – Results, Error Analysis Xie Zheng – Introduction, Experimental Theory, Experimental Procedures, Specimens and Instrumentation Abstract The purpose of this experiment is to let students to learn to determine material properties and to observe material responses at different stages of loading. In this experiment, students will familiarize with strain gage, digital strain indicator, Universal Digital Testing Machine, Torsion Testing Machine and LVDT system. This experiment consists of three parts. The first part is determination of Young’s Modulus and Poisson’s ratio for both steel and aluminum specimens. The second part of the experiment is to do a tensile test in order to obtain a stress- strain diagram of an aluminum specimen. The last part of the experiment is determination of shear modulus for specimens of carbon steel and aluminum by using Torsion Testing machine and Torsiometer. We use linearly regression method in order to get the value of Young’s Modulus, Shear Modulus and Poisson’s ratio. From the results, values calculated for the linear regression slope constants can be represented as Young's Modulus, Poisson’s ratio or Shear, depending on which experiment students are working on. From the result, the values we get from the experiment are acceptable when compared to the corresponding values in theory. Introduction This lab consists of three parts which are dealing with Young’s modulus, shear modulus and strain-stress graph respectively. The purpose of the experiments is looking for material’s properties. By adding load to specimens and finding out the relationship between the strain and stress, we are able to determine material’s properties such as its Young’s modulus and shear modulus. Also, after doing a time consuming experiment, we are getting the plot of stress-strain diagram which would presents the relation between stress and strain of the specimen. Young’s modulus is named after To determine the modulus of the specimens, we are using Hooke’s law as basic equation. It is named after the 19th-century British scientist Thomas Young. However, the concept was developed in 1727 by Leonhard Euler, and the first experiments that used the concept of Young's modulus in its current form were performed by the Italian scientist Giordano Riccati in 1782. The importance of determination of material properties could be found from our daily life. For example, when we are building up a building for residence or public purpose, we need to consider the safety of the building parts such as pillar and beam. Once we can determine the young’s modulus and shear modulus of the certain material (we may use concrete in general), we can easily design the size of the beam or pillar and consider the structure of the building. All the design should base on the material properties and then engineers can come up with a proper plan. To come up with a proper and safe plan or even an idea of tool for daily usage, we have to know more enough about the material properties. Specimens and Instrumentation Testing specimens Aluminum testing specimen with LVDTs for doing the tensile test for the stress-strain diagram. Transducer Indicator Tinius Olsen 1000 Universal Digital Testing Machine E101 Digital Measuring System P3 Digital Strain Indicator Torsion Testing Machine Theory Determination of Young’s Modulus Young's modulus is also called as the tensile modulus or elastic modulus, it indicates that every certain material holds a linear relationship between the tensile load which is applied to it and the elongation. It is a measure of the stiffness of an elastic isotropic material and is a quantity used to characterize materials. To determine the Young’s modulus, Hoode’s law is used as the basic equation to solve for E which stands for Young’s modulus. πΏ= ππΏ π΄πΈ (Eq. 1) Where P = force producing extension of bar, L = length of bar, A = cross-section area of bar, δ = total elongation of bar, E = elastic constant of the material, called Modulus of Elasticity or Young’s Modulus. According to the Eq.2 and Eq.3 , the stress and strain can be determined: π= π π΄ (Eq.2) π= πΏ πΏ (Eq.3) Through the observation, the axial elongation is always accompanied by lateral contraction of the bar within the elastic region where the ratio is called Poisson’s ratio. According to Fig. 1.1, we can see that in the elastic region (from O to A), the relation between strain and stress is linear which means the specimen is in an elastic deformation. And point A is the proportional limit. After point A, between A and D, the relation between strain and stress becomes complicated, the curve goes down a little bit and then presents a curve which looks like a graph of quadratic equation. And the point C indicates the maximum load applied to the specimen. Finally at point D, the specimen would be broken and the fracture of the specimen occurs. Determination of Shear Modulus Assuming a material obeys Hook’s law, the shearing stress of the material, which contributes to its distortion, is proportional to the shearing strain . The relationship between shearing stress and shearing strain in this material can be expressed as π = πΊπΎ where G is called shear modulus and it is a constant, π is shear stress and πΎ is shear strain We can observe from Fig that for small values of πΎ, we can express the arc length AA’ as AA’ =LπΎ. But on the other hand, we have π΄π΄′ = πΦ So, πΎ= πΦ πΏ where πΎ and Φ both expressed in radians. The equation obtained show that the shearing stress at a given point of a shaft is proportional to the angle of twisted. It also shows that πΎ is proportional to the distance from the axis of the shaft to the point under consideration. The angle of twisted angle per unit length of the shaft varies directly as the applied torque and inversely as the Shear Modulus G. The equation yields to Φ= ππΏ πΊπΌ Where M represents torque, I represent Polar Moment of Inertial The equation above can be transformed to G = ππΏ ΦπΌ in order to calculate shear modulus of Aluminum and Steel in this experiment. Procedures PART 1– Determination of Young’s Modulus E and Poisson’s ν. 1. To avoid the error from flatness of the specimen, four strain gages are attached to each of the testing specimen. So there would be four channels to receive the signal from gages. 2. Measure the size of the specimen (steel and aluminum testing specimens). 3. The experiment is already setup and check to see if the gages are connected to the channel on P3soft. The first specimen is made of steel, so one of the wires for each gage is connected to D 120. 4. Press “Force Zero” button on Tinius Olsen 1000 Digital Testing Machine to adjust the force on the machine is 0. And then press ext zero. 5. Run the P3software on computer and then select “BAL” to set all the strain gages initially zero. 6. Start to add the initial load to specimen to around 20 lbf to tight the specimen. 7. Click “RECORD” and select all the four channels and click “on this computer”. 8. Hit record to record the reading for initial condition which is used as “zero” for later calculation. 9. Start to add the load to specimen with increment of 50 lbf, save the data in program and record the reading on Tinius Olsen 1000 Digital Testing Machine for every load till the maximum load which is around 520 lbf. 10. Save the data on computer for first trial and unload the force on specimen, then repeat steps 4 to 9 for another two trials. 11. After getting three trials, change the specimen to aluminum one, repeat steps 4 to 10 to get the data for aluminum specimen. Part 2—Tensile test for the stress-strain diagram. 1. Load a thin aluminum specimen on Tinius Olsen 1000 Digital Testing Machine for this experiment. 2. Measure the thickness of the block three times and then take the average of them. 3. Measure the size of specimen. 4. Adjust the height of the LVDT’s to make sure the maximum distance of deflection will be in its detecting range. 5. Press “Force Zero” button on Tinius Olsen 1000 Digital Testing Machine to adjust the force on the machine is 0. And then press ext zero. 6. Start to add the initial load to specimen to around 20 lbf to tight the specimen. 7. Start to add the load to specimen with increment of 50 lbf, record the reading on Tinius Olsen 1000 Digital Testing Machine and RDP Transducer Indicator E309 for every load. 8. When the load is added up to 570 lbf, we set the speed of load applying to 9 since it is getting slower to add load on the specimen. 9. When the load is much harder to add to specimen, we take increment of 0.5 of the reading on RDP Transducer Indicator E309 since the load is much harder to add (it is in the range of plastic deformation). 10. Keep adding load to the specimen, the aluminum specimen is finally broken with the fracture on the upper position. Part 3-- Determination of Shear Modulus. 1. Measure the diameter of two specimens (steel on and aluminum one). 2. The lab is already setup, check the connections between Torsion Testing Machine and E101 Digital Measuring System. 3. Set deflection arm approximately by adjusting the hand wheel which is located at the right hand side of the Torsion Testing Machine. 4. Set the dial gauge on the Torsiometer to zero by rotating the outer bezel. 5. Zero the E101 Digital Measuring System by pressing the “zero” button which is located at the back. 6. Carefully rotating two hand wheels at the same time till the reading on the E101 Digital Measuring System is about 2.5. Then, record the reading on E101 Digital Measuring System and the dial gauge on the Torsiometer. 7. Unload the specimen by turning the hand wheels until the reading on E101 Digital Measuring System is back to 0 and then zero it. 8. Repeat steps 3 to 7 twice to get another two trials for steel specimen. 9. Change the specimen to aluminum one and then repeat steps 3 to 8 get the record. Results Determination of Young’s Modulus and Poisson’s Ratio of Aluminum a) Material Aluminum Width (in) 0.5 b) Material Steel Width (in) 0.5055 Thickness (in) 0.121 Thickness (in) 0.121 Area (in2) 0.0605 Area (in2) 0.0612 Table 1: Testing Material Property Data The specified materials and measurements for the width and thickness of the cross-sectional area in testing, and the calculated cross-sectional area for each specimen. π΄πππ = ππππππππ ππππ‘β π₯ ππππππππ πβππππππ π π΄π΄π = 0.5ππ π₯ 0.1210ππ = 0.0605ππ2 π΄ππ‘πππ = 0.5055ππ π₯ 0.1210ππ = 0.0612ππ2 Fig. : Calculation of Cross-Sectional Areas in Tensile Testing The calculations for the cross-sectional areas of both the aluminum and steel specimens used in tensile Testing. These calculations were needed to compute the Normal Stresses induced with each load. P (lb) εxx (in/in)-6 εyy (in/in)-6 σxx (lb/in2) 2.80E-05 -1.50E-05 20 330.5785124 1.11E-04 -4.45E-05 70.3 1161.983471 1.95E-04 -7.20E-05 120 1983.471074 2.81E-04 -1.00E-04 171 2826.446281 3.67E-04 -1.28E-04 220.6 3646.280992 4.53E-04 -1.56E-04 270 4462.809917 5.39E-04 -1.84E-04 320.8 5302.479339 Table 2: Part One: First Trial Aluminum Tensile Testing Results The applied loads, average normal and transverse strains as measured by the strain indicator, and corresponding normal stresses measured during the first aluminum tensile test. ππ₯π₯π = ππ π΄π΄π πΈπ₯. π π₯π₯1 = 20 ππ. ππ = 330.5785 2 0.0605 ππ2 ππ Fig. : Calculation of the Axial Stress σxx associated with the Induced Loads during Aluminum Tensile Test Number One The formula used to compute the axial stress induced using the measured values for the applied loads and the cross sectional area of the testing material. The example given using the first recorded load measurement demonstrates how the each experimental load was used to calculate the associated axial stress Stress vs. Strain 7000 6000 Stress (psi) 5000 y = 1E+07x + 82.442 4000 3000 2000 1000 0 0.00E+00 -1000 1.00E-04 2.00E-04 3.00E-04 4.00E-04 Strain εxx (in/in) Stress vs. Strain 5.00E-04 6.00E-04 Linear (Stress vs. Strain) Fig. : Graph plotting the Axial Stress against recorded Axial Strain during Aluminum Tensile Test Number One Graph plotting the stresses computed against the associated axial strain as recorded by the strain ππ indicator. The linear approximation function π¦ = (10 π₯ 106 )π₯ + 82.442 ππ2 is represented by the dashed line connecting the initial and final measurements. Lateral Strain εxx (in/in)-6 Axial Strain vs. Lateral Strain 0.00E+00 5.00E-05 0.00E+00 -5.00E-05 -1.00E-04 -1.50E-04 -2.00E-04 -2.50E-04 1.00E-04 2.00E-04 3.00E-04 4.00E-04 5.00E-04 y = -0.3282x - 7E-06 Axial Strain vs. Lateral Strain Axial Strain εxx (in/in)-6 Linear (Axial Strain vs. Lateral Strain) 6.00E-04 Fig. : Axial Strain vs. Transverse Train - Aluminum Tensile Test Number One Graph plotting the axial strain induced from each load against the lateral strain as recorded by the strain indicator. The linear approximation function π¦ = (−0.3282)π₯ − (7π₯10−6 ) is represented by the dashed line connecting the initial and final measurements. εxx (in/in)-6 3.65E-05 1.14E-04 2.01E-04 2.88E-04 3.74E-04 4.62E-04 5.47E-04 P (lb) 21.8 68.2 119 169 220.1 271 321.5 εyy (in/in)-6 -1.15E-05 -3.65E-05 -6.45E-05 -9.30E-05 -1.21E-04 -1.49E-04 -1.77E-04 σxx (lb/in2) 360.3305785 1127.272727 1966.942149 2793.38843 3638.016529 4479.338843 5314.049587 Table 3: Part One: Second Trial Aluminum Tensile Testing Results The applied loads, average normal and transverse strains as measured by the strain indicator, and corresponding normal stresses measured during the second aluminum tensile test. ππ₯π₯π = ππ π΄π΄π πΈπ₯. π π₯π₯1 = 21.8 ππ. ππ = 360.3306 2 0.0605 ππ2 ππ Fig. : Calculation of the Axial Stress σxx associated with the Induced Loads during Aluminum Tensile Test Number Two The formula used to compute the axial stress induced using the measured values for the applied loads and the cross sectional area of the testing material. The example given using the first recorded load measurement demonstrates how the each experimental load was used to calculate the associated axial stress Stress vs. Strain 7000 6000 Stress (psi) 5000 4000 y = 1E+07x + 17.009 3000 2000 1000 0 0.00E+00 -1000 1.00E-04 2.00E-04 3.00E-04 4.00E-04 5.00E-04 6.00E-04 Strain εxx (in/in) Stress vs. Strain Linear (Stress vs. Strain) Fig. : Graph plotting the Axial Stress against recorded Axial Strain during Aluminum Tensile Test Number Two Graph plotting the stresses computed against the associated axial strain as recorded by the strain ππ indicator. The linear approximation function π¦ = (10 π₯ 106 )π₯ + 17.009 ππ2 is represented by the dashed line connecting the initial and final measurements. Lateral Strain εxx (in/in)-6 Axial Strain vs. Lateral Strain 0.00E+00 5.00E-05 0.00E+00 -5.00E-05 -1.00E-04 -1.50E-04 -2.00E-04 -2.50E-04 1.00E-04 2.00E-04 3.00E-04 4.00E-04 5.00E-04 6.00E-04 y = -0.3234x + 3E-07 Axial Strain vs. Lateral Strain Axial Strain εxx (in/in)-6 Linear (Axial Strain vs. Lateral Strain) Fig. : Axial Strain vs. Transverse Train - Aluminum Tensile Test Number Two Graph plotting the axial strain induced from each load against the lateral strain as recorded by the strain indicator. The linear approximation function π¦ = (−0.3234)π₯ + (3π₯10−7 ) is represented by the dashed line connecting the initial and final measurements. P (lb) εxx (in/in)-6 εyy (in/in)-6 σxx (lb/in2) 3.35E-05 -1.10E-05 19.9 328.92562 1.20E-04 -3.85E-05 1158.67769 70.1 2.00E-04 -6.45E-05 1971.90083 119.3 2.70E-04 -8.70E-05 2634.71074 159.4 3.58E-04 -1.15E-04 3469.42149 209.9 4.42E-04 -1.43E-04 4302.47934 260.3 5.31E-04 -1.71E-04 5148.76033 311.5 Table 4: Part One: Third Trial Aluminum Tensile Testing Results The applied loads, average normal and transverse strains as measured by the strain indicator, and corresponding normal stresses measured during the third aluminum tensile test. ππ₯π₯π = ππ π΄π΄π πΈπ₯. π π₯π₯1 = 19.9ππ. ππ = 328.9256 2 0.0605 ππ2 ππ Fig. : Calculation of the Axial Stress σxx associated with the Induced Loads during Aluminum Tensile Test Number Three The formula used to compute the axial stress induced using the measured values for the applied loads and the cross sectional area of the testing material. The example given using the first recorded load measurement demonstrates how the each experimental load was used to calculate the associated axial stress Stress vs. Strain 7000 6000 Stress (psi) 5000 4000 y = 1E+07x + 12.357 3000 2000 1000 0 0.00E+00 -1000 1.00E-04 2.00E-04 3.00E-04 4.00E-04 5.00E-04 6.00E-04 Strain εxx (in/in) Stress vs. Strain Linear (Stress vs. Strain) Fig. : Graph plotting the Axial Stress against recorded Axial Strain during Aluminum Tensile Test Number Three Graph plotting the stresses computed against the associated axial strain as recorded by the strain ππ indicator. The linear approximation function π¦ = (10 π₯ 106 )π₯ + 12.357 ππ2 is represented by the dashed line connecting the initial and final measurements. Lateral Strain εxx (in/in)-6 Axial Strain vs. Lateral Strain 0.00E+00 0.00E+00 1.00E-04 2.00E-04 3.00E-04 4.00E-04 5.00E-04 6.00E-04 -5.00E-05 -1.00E-04 y = -0.3211x - 3E-07 -1.50E-04 -2.00E-04 Axial Strain εxx (in/in)-6 Axial Strain vs. Lateral Strain Linear (Axial Strain vs. Lateral Strain) Fig. : Axial Strain vs. Transverse Train - Aluminum Tensile Test Number Three Graph plotting the axial strain induced from each load against the lateral strain as recorded by the strain indicator. The linear approximation function π¦ = (−0.3211)π₯ − (3π₯10−7 ) is represented by the dashed line connecting the initial and final measurements. (a) Trial 1 2 3 Eexp (lb/in2) 9.70E+06 9.68E+06 9.69E+06 EAl(lb/in2) 1.00E+07 1.00E+07 1.00E+07 ε (lb/in2) 2.96E+05 3.17E+05 3.08E+05 εr (%) 2.96% 3.17% 3.08% A (%) 97.04% 96.83% 96.92% Table 5: Comparison of Experimentally determined values for Young’s modulus and associated errors and accuracies with known value of Young’s Modulus for Aluminum Table giving the values calculated from linear regression for the Young’s Modulus of Aluminum, or the slope of the Stress vs. Strain plots and their absolute (ε) and relative (εr) errors and accuracy (A) with ππ respect to the known value for Young’s Modulus of Aluminum of πΈπ΄π = 10π₯106 ππ2 . Detailed calculations for Young’s Modulus determined from each trial set and the uncertainties in the results can be found in Appendices A1-A6. Trial 1 2 3 Ρ΅exp 0.32820763 0.32339856 0.32111065 Ρ΅Al 0.333 0.333 0.333 ε 4.79E-03 9.60E-03 1.19E-02 εr 1.44% 2.88% 3.57% A 98.56% 97.12% 96.43% Table 6: Comparison of Experimentally determined values for Poisson’s Ratio and associated errors and accuracies with known value of Poisson’s Ratio for Aluminum Table giving the values calculated from linear regression for the Young’s Modulus of Aluminum, or the slope of the Transverse Strain vs. Axial Strain plots and their absolute (ε) and relative (εr) errors and accuracy (A) with respect to the known value for Young’s Modulus of Aluminum of πΈπ΄π = 0.333. Detailed calculations for Poisson’s Ratio determined from each trial set and the uncertainties in the results can be found in Appendices B1-B6. Determination of Young’s Modulus and Poisson’s Ratio of Steel P (lb) εxx (in/in)-6 εyy (in/in)-6 σxx (lb/in2) 1.05E-05 -1.50E-06 286.108999 17.5 3.80E-05 -8.00E-06 1067.59529 65.3 6.65E-05 -1.60E-05 1922.65248 117.6 9.65E-05 -2.40E-05 2735.20203 167.3 1.27E-04 -3.20E-05 3570.64031 218.4 1.53E-04 -4.00E-05 4365.20588 267.0 1.83E-04 -4.80E-05 5182.66016 317.0 2.15E-04 -5.60E-05 6006.65408 367.4 2.42E-04 -6.40E-05 6832.2829 417.9 2.69E-04 -7.10E-05 7499.3256 458.7 2.98E-04 -8.00E-05 8305.33552 508.0 Table 7: Part One: Second Trial Steel Tensile Testing Results The applied loads, average normal and transverse strains as measured by the strain indicator, and corresponding normal stresses measured during the first steel tensile test. ππ₯π₯π = ππ π΄π΄π πΈπ₯. π π₯π₯1 = 17.5ππ. ππ = 286.1090 2 0.0612 ππ2 ππ Fig. : Calculation of the Axial Stress σxx associated with the Induced Loads during Steel Tensile Test Number One The formula used to compute the axial stress induced using the measured values for the applied loads and the cross sectional area of the testing material. The example given using the first recorded load measurement demonstrates how the each experimental load was used to calculate the associated axial stress. Stress vs. Strain 10000 8000 y = 3E+07x + 37.105 Stress (psi) 6000 4000 2000 0 0.00E+00 5.00E-05 1.00E-04 1.50E-04 -2000 2.00E-04 2.50E-04 3.00E-04 3.50E-04 Strain εxx (in/in) Stress vs. Strain Linear (Stress vs. Strain) Fig. : Axial Stress vs. Axial Strain - Steel Tensile Test Number One Graph plotting the stresses computed against the associated axial strain as recorded by the strain ππ indicator. The linear approximation function π¦ = (30 π₯ 106 )π₯ + 37.105 ππ2 is represented by the dashed line connecting the initial and final measurements. Axial Strain vs. Lateral Strain Lateral Strain εxx (in/in)-6 0.00E+00 5.00E-05 2.00E-05 1.00E-04 1.50E-04 2.00E-04 2.50E-04 3.00E-04 3.50E-04 0.00E+00 -2.00E-05 -4.00E-05 y = -0.2732x + 2E-06 -6.00E-05 -8.00E-05 -1.00E-04 Axial Strain εxx (in/in)-6 Axial Strain vs. Lateral Strain Linear (Axial Strain vs. Lateral Strain) Fig. : Axial Strain vs. Transverse Train - Steel Tensile Test Number One Graph plotting the axial strain induced from each load against the lateral strain as recorded by the strain indicator. The linear approximation function π¦ = (−0.2732)π₯ + (2π₯10−6 ) is represented by the dashed line connecting the initial and final measurements. P (lb) εxx (in/in)-6 εyy (in/in)-6 σxx (lb/in2) 1.20E-05 -2.00E-06 333.521348 20.4 4.10E-05 -9.00E-06 1154.24545 70.6 7.00E-05 -1.65E-05 1978.23937 121 9.90E-05 -2.45E-05 2787.51911 170.5 1.28E-04 -3.20E-05 3611.51303 220.9 1.59E-04 -4.05E-05 4443.68149 271.8 1.88E-04 -4.90E-05 5259.50086 321.7 2.17E-04 -5.65E-05 6076.95515 371.7 2.46E-04 -6.45E-05 6876.42544 420.6 2.77E-04 -7.20E-05 471.5 7708.5939 3.07E-04 -8.05E-05 521.7 8529.318 Table 8: Part One: Second Trial Steel Tensile Testing Results The applied loads, average normal and transverse strains as measured by the strain indicator, and corresponding normal stresses measured during the second steel tensile test. Stress vs. Strain 10000 Stress (psi) 8000 6000 y = 3E+07x + 28.104 4000 2000 0 0.00E+00 5.00E-05 1.00E-04 1.50E-04 -2000 2.00E-04 2.50E-04 3.00E-04 3.50E-04 Strain εxx (in/in) Stress vs. Strain Linear (Stress vs. Strain) Fig. : Axial Stress vs. Axial Strain - Steel Tensile Test Number Two Graph plotting the stresses computed against the associated axial strain as recorded by the strain indicator. The linear approximation function π¦ = (30 π₯ 106 )π₯ + 28.104 ππ ππ2 is represented by the dashed line connecting the initial and final measurements. Axial Strain vs. Lateral Strain Lateral Strain εxx (in/in)-6 0.00E+00 5.00E-05 1.00E-04 1.50E-04 2.00E-04 2.50E-04 3.00E-04 3.50E-04 0.00E+00 -2.00E-05 -4.00E-05 y = -0.2684x + 2E-06 -6.00E-05 -8.00E-05 -1.00E-04 Axial Strain εxx (in/in)-6 Axial Strain vs. Lateral Strain Linear (Axial Strain vs. Lateral Strain) Fig. : Axial Strain vs. Transverse Train - Steel Tensile Test Number Two Graph plotting the axial strain induced from each load against the lateral strain as recorded by the strain indicator. The linear approximation function π¦ = (−0.2684)π₯ + (2π₯10−6 ) is represented by the dashed line connecting the initial and final measurements. P (lb) εxx (in/in)-6 εyy (in/in)-6 σxx (lb/in2) 1.10E-05 -2.50E-06 328.616622 20.1 3.95E-05 -1.00E-05 1159.15017 70.9 6.90E-05 -1.75E-05 120.2 1965.1601 9.80E-05 -2.55E-05 171.6 2805.5031 1.28E-04 -3.30E-05 3611.51303 220.9 1.56E-04 -4.10E-05 4443.68149 271.8 1.86E-04 -4.95E-05 5259.50086 321.7 2.18E-04 -5.85E-05 6135.81185 375.3 2.48E-04 -6.65E-05 426.0 6964.7105 2.77E-04 -7.40E-05 7759.27606 474.6 3.05E-04 -8.15E-05 8534.22272 522.0 Table 9: Part One: Third Trial Steel Tensile Testing Results The applied loads, average normal and transverse strains as measured by the strain indicator, and corresponding normal stresses measured during the third steel tensile test. Stress (psi) Stress vs. Strain 9000 8000 7000 6000 y = 3E+07x + 52.701 5000 4000 3000 2000 1000 0 0.00E+00 5.00E-05 1.00E-04 1.50E-04 2.00E-04 2.50E-04 3.00E-04 3.50E-04 Strain εxx (in/in) Stress vs. Strain Linear (Stress vs. Strain) Fig. : Axial Stress vs. Axial Strain - Steel Tensile Test Number Three Graph plotting the stresses computed against the associated axial strain as recorded by the strain ππ indicator. The linear approximation function π¦ = (30 π₯ 106 )π₯ + 52.701 ππ2 is represented by the dashed line connecting the initial and final measurements. Lateral Strain εxx (in/in)-6 Axial Strain vs. Lateral Strain 0.00E+00 5.00E-05 1.00E-04 1.50E-04 2.00E-04 2.50E-04 0.00E+00 -1.00E-05 -2.00E-05 -3.00E-05 -4.00E-05 -5.00E-05 y = -0.2709x + 9E-07 -6.00E-05 -7.00E-05 -8.00E-05 -9.00E-05 Axial Strain εxx (in/in)-6 Axial Strain vs. Lateral Strain 3.00E-04 3.50E-04 Linear (Axial Strain vs. Lateral Strain) Fig. Axial Strain vs. Transverse Train - Steel Tensile Test Number Three Graph plotting the axial strain induced from each load against the lateral strain as recorded by the strain indicator. The linear approximation function π¦ = (−0.2709)π₯ + (9π₯10−7 ) is represented by the dashed line connecting the initial and final measurements. Trial Eexp (lb/in2) EAl(lb/in2) ε (lb/in2) εr (%) A (%) 1 2.79E+07 3.00E+07 2.10E+06 6.99E-02 0.930 2 2.78E+07 3.00E+07 2.18E+06 7.26E-02 0.927 3 2.79E+07 3.00E+07 2.09E+06 6.96E-02 0.930 Table 10: Comparison of Experimentally determined values for Young’s modulus and associated errors and accuracies with known value of Young’s Modulus for Steel Table giving the values calculated from linear regression for the Young’s Modulus of Steel, or the slope of the Stress vs. Strain plots and their absolute (ε) and relative (εr) errors and accuracy (A) with respect ππ to the known value for Young’s Modulus of Steel of πΈπ΄π = 30π₯106 ππ2. Detailed calculations for Young’s Modulus determined from each trial set and the uncertainties in the results can be found in Appendices C1-C6. Trial 1 2 3 Table Ρ΅exp Ρ΅Steel ε 0.27316959 0.291 1.78E-02 0.26844712 0.291 2.26E-02 0.27090438 0.291 2.01E-02 11: Comparison of Experimentally εr A 6.13E-02 0.939 7.75E-02 0.922 6.91E-02 0.931 determined values for Poisson’s Ratio and associated errors and accuracies with known value of Poisson’s Ratio for Steel Table giving the values calculated from linear regression for the Young’s Modulus of Steel, or the slope of the Transverse Strain vs. Axial Strain plots and their absolute (ε) and relative (εr) errors and accuracy (A) with respect to the known value for Young’s Modulus of Steel of πΈπ΄π = 0.291. Detailed calculations for Poisson’s Ratio determined from each trial set and the uncertainties in the results can be found in Appendices D1-D6. Determination Proportional Limit, Yield Point, and Ultimate Strength via the Stress Strain Curve Thickness (in) 0.0325 Width (in) Active Length (in) 0.54 4.5 Table 12: Part Two Testing Material Property Data The specified materials and measurements for the width and thickness of the cross-sectional area in testing, and the calculated cross-sectional area for the aluminum specimen used during tensile testing. π·ππ πππππππππ‘ π΄π£πππππ π·ππ πππππππππ‘ = ππππ‘ π ππππππ π΄π£πππππ πΏππ·π π ππππππ ∑ π΄ππ‘π’ππ π·ππ πππππππππ‘π π = ⁄∑ πΏππ·π π πππππππ (π π = ππ’ππππ ππ ππππ π’ππππππ‘π ) Fig. : LVDT Calibration Technique. The actual deflections of the aluminum specimen in thousands of an inch had to be determined via calculation of the actual displacement in thousands of an inch per LVDT deflection reading. The average displacement and LVDT readings were used to calculate the correction factor used in determination of deflections associated with each induced load. LVDT Reading (a) Actual Displacement (1x10-3 in.) -18.156 -6.065 (b) Avg. LVDT Reading Avg. Displacement (1x10-6 in.) Displacement/Unit Reading (in.) -18.075 -6.283 -18.057 -5.999 Tables 12a, 12b: Calibration of LVDT Displacement Readings -18.096 6.115666667 0.000337957 Table 12a: The LVDT displacement measurements taken and the corresponding actual displacements in thousandths of an inch. The average of each of these measurements was taken to determine the actual deflection per LVDT displacement reading. Table 12b: The average values calculated from the respective LVDT displacement readings and the actual displacements during calibration, and the calculated Displacement/Unit Reading used to calculate the true deflection from each LVDT displacement reading during tensile testing. π΄πππ = πβππππππ π π₯ ππππ‘β = 0.0325 π₯ 0.54 = 0.01755 ππ2 ππ₯π₯ π = πΏπππ π΄πππ πΈπ₯. ππ₯π₯ 1 = ππ₯π₯π = π·ππππππ‘πππ π΄ππ‘ππ£π πΏππππ‘β πΈπ₯. ππ₯π₯2 = 19.8 ππ. ππ. = 1128.2 0.01755 ππ2 ππ2 2.70 π₯ 10−6 ππ. ππ = 6.01 π₯ 10−7 4.5 ππ. ππ Fig. : Calculation Techniques used in determination of Axial Stresses and Axial Strains The steps used to calculate the cross-sectional area pertinent in axial stress calculations, the axial stress for each induced load, and the corresponding axial strain for each induced load considering actual deflections and the active testing length of the aluminum specimen. Examples include data given in Table 13. Load (lbs) σxx (lb/in2) 19.8 69.4 119.9 170.4 220 270.7 320.3 371.2 419.8 470.3 519.8 570.5 1128.2 3954.4 6831.9 9709.4 12535.6 15424.5 18250.7 21151 23920.2 26797.7 29618.2 32507.1 Deflection (in) 0 2.70E-06 1.69E-05 3.18E-05 4.80E-05 6.56E-05 8.42E-05 0.000104429 0.000125044 0.000148701 0.000173034 0.000211899 εxx (in/in) Load (lbs) σxx (lb/in2) 0 6.01E-07 3.76E-06 7.06E-06 1.07E-05 1.46E-05 1.87E-05 2.32E-05 2.78E-05 3.30E-05 3.85E-05 4.71E-05 721.4 719.5 719.3 724.3 722.5 732.5 737.2 741 746.3 715.3 758 742 41105.4 40997.2 40985.8 41270.7 41168.1 41737.9 42005.7 42222.2 42524.2 40757.8 43190.9 42279.2 Deflection (in) 0.00175163 0.001821249 0.001955756 0.002087897 0.002217673 0.002366712 0.002495811 0.002652285 0.002823967 0.002999029 0.003157193 0.003335634 εxx (in/in) 0.000389 0.000405 0.000435 0.000464 0.000493 0.000526 0.000555 0.000589 0.000628 0.000666 0.000702 0.000741 620.2 670.5 683.4 693.3 689.4 688 680.8 706 704 710 703 711 710.3 709.7 711.5 713.5 712.9 718.6 719 35339 38205.1 38940.2 39504.3 39282.1 39202.3 38792 40227.9 40114 40455.8 40057 40512.8 40472.9 40438.7 40541.3 40655.3 40621.1 40945.9 40968.7 0.000281518 0.000674562 0.001001028 0.001037527 0.001074027 0.001107147 0.001143646 0.001193326 0.001230163 0.00128018 0.001309245 0.001347434 0.001383933 0.001417053 0.00145727 0.001498501 0.001608674 0.001647202 0.001672886 6.26E-05 0.00015 0.000222 0.000231 0.000239 0.000246 0.000254 0.000265 0.000273 0.000284 0.000291 0.000299 0.000308 0.000315 0.000324 0.000333 0.000357 0.000366 0.000372 751.1 756 766 762.4 766 779 780 782 786.1 785.1 793 795 794 791 790 800 801.2 804 804.3 801 42797.7 43076.9 43646.7 43441.6 43646.7 44387.5 44444.4 44558.4 44792 44735 45185.2 45299.1 45242.2 45071.2 45014.2 45584 45652.4 45812 45829.1 45641 0.00350326 0.003677308 0.003836486 0.004089616 0.004255214 0.004448188 0.00461818 0.004793242 0.004992974 0.005195748 0.005364051 0.005531001 0.005705387 0.005861523 0.006039964 0.006208943 0.006370824 0.006542844 0.006677689 0.006825038 0.000779 0.000817 0.000853 0.000909 0.000946 0.000988 0.001026 0.001065 0.00111 0.001155 0.001192 0.001229 0.001268 0.001303 0.001342 0.00138 0.001416 0.001454 0.001484 0.001517 Table 13: Aluminum Tensile Testing Data The recorded loads and deflections using the LVDT readings and correction factor, and the corresponding calculated axial stresses and axial strains induced from each loading. Axial Stress σxx Stress vs. Strain 50000.0 45000.0 40000.0 35000.0 30000.0 25000.0 20000.0 15000.0 10000.0 5000.0 0.0 0.00E+00 2.00E-04 4.00E-04 6.00E-04 8.00E-04 1.00E-03 1.20E-03 1.40E-03 1.60E-03 Axial Strain εxx Stress vs. Strain Fig. : Axial Stress vs. Axial Strain Plot A graph plotting the calculated axial stresses from each induced load against the calculated axial strains determined from each deflection during aluminum tensile testing. Determination of Young’s Modulus and Poisson’s Ratio of Aluminum a) b) Material Diameter D(in) Length L (in) Moment of initial I (in^4) Aluminum 0.25 2 0.000383495 Material Diameter D(in) Length L (in) Moment of initial I (in^4) Steel 0.25 2 0.000383495 Table 1: Testing Material Property Data The specified materials and measurements for the diameters and lengths and the calculated Moment of Inertial for each specimen. πππππ ππππππ‘ ππ πΌππππ‘πππ πππ π π‘πππ πππ π΄ππ’ππππ’π = ππππππππ ππππ‘β π₯ ππππππππ πβππππππ π πΌπ΄π = π ∗ πΌππ‘πππ 0.254 32 = 0.000383495 in4 0.254 =π∗ = 0.000383495 in4 32 Fig. : Calculation of Polar Moment of Inertial in Torsion Testing The calculations for polar moment of inertial for both the aluminum and steel specimens used in Torsion Testing. These calculations were needed to compute the Shear modulus. Mt (lb*ft) 0.6 1.1 2.6 Ο(radians) 0.0095 0.0144 0.035 Mt*L(lb*in^2) 14.4 26.4 62.4 φ*I(in^4) 3.6432E-06 5.52233E-06 1.34223E-05 Table 2: Part One: First Trial Aluminum Torsion Testing Results The applied torques and twisted angles of a specimen was measured by the torsion testing machine and Torsiometer, respectively. Multiply Torque Mt with the length of the specimen L and twisted angle φ with polar moment of inertial I in order to get the value of shear modulus by using equation as shown below. πΊ= ππ‘ πΏ φ πΌπ Fig. : Calculation of the shear modulus in Aluminum Torsion Testing Number One. The formula used to compute shear modulus by using the measured values torque, twisted angle, length and calculated value polar moment of inertial. Fig. : Graph plotting Mt*L against φ*I during Aluminum Torsion Test Number One Graph plotting the value of Mt*L against the value of φ*I. The linear approximation function π¦ = (5 π₯ 106 )π₯ − 1.7779 ππ ∗ ππ2 is represented by the dashed line connecting the initial and final measurements. Mt (lb*ft) 0.5 1 2.6 Ο(radians) 0.0065 0.0138 0.035 Mt*L(lb*in^2) 12 24 62.4 φ*I(in^4) 2.49272E-06 5.29223E-06 1.34223E-05 Table 3: Part One: Second Trial Aluminum Torsion Testing Results The applied torques and twisted angles of a specimen was measured by the torsion testing machine and Torsiometer, respectively. Multiply Torque Mt with the length of the specimen L and twisted angle φ with polar moment of inertial I in order to get the value of shear modulus. Fig. : Graph plotting Mt*L against φ*I during Aluminum Torsion Test Number Two Graph plotting the value of Mt*L against the value of φ*I. The linear approximation function π¦ = (5 π₯ 106 )π₯ + 0.0249 ππ ∗ ππ2 is represented by the dashed line connecting the initial and final measurements. Mt (lb*ft) Mt*L(lb*in^2) Ο(radians) 0.5 0.006 12 1.7 0.027 40.8 2.4 0.038 57.6 Table 4: Part Two: Third Trial Aluminum Torsion Testing Results φ*I(in^4) 2.30097E-06 1.03544E-05 1.45728E-05 The applied torques and twisted angles of a specimen was measured by the torsion testing machine and Torsiometer, respectively. Multiply Torque Mt with the length of the specimen L and twisted angle φ with polar moment of inertial I in order to get the value of shear modulus. Fig. : Graph plotting Mt*L against φ*I during Aluminum Torsion Test Number Three Graph plotting the value of Mt*L against the value of φ*I. The linear approximation function π¦ = (4 π₯ 106 )π₯ + 3.2429 ππ ∗ ππ2 is represented by the dashed line connecting the initial and final measurements. 2 2 Trial Gexp (lb/in ) GAl(lb/in ) ε εr 1 4.80E+06 4.00E+06 -8.05E+05 -2.01E-01 2 4.64E+06 4.00E+06 -6.36E+05 -1.59E-01 3 3.70E+06 4.00E+06 3.03E+05 7.57E-02 Table 5: Comparison of Experimentally determined values for Shear modulus and associated errors and accuracies with known value of Shear Modulus for Aluminum Table giving the values calculated from linear regression for the Shear Modulus of Aluminum, or the slope of the Mt*L vs. φ*I plots and their absolute (ε) and relative (εr) errors with respect to the known value for Shear Modulus of Aluminum of πΊπ΄π = 4π₯106 ππ/ππ2 . Detailed calculations for Shear Modulus determined from each trial set and the uncertainties in the results can be found in Appendices F1-F6. Determination of Shear Modulus of Steel Mt (lb*ft) Mt*L(lb*in^2) Ο(radians) 2.6 0.0154 62.4 3.6 0.0217 86.4 4.4 0.026 105.6 Table 2: Part Two: First Trial Steel Torsion Testing Results φ*I(in^4) 5.90583E-06 8.32185E-06 9.97088E-06 The applied torques and twisted angles of a specimen was measured by the torsion testing machine and Torsiometer, respectively. Multiply Torque Mt with the length of the specimen L and twisted angle φ with polar moment of inertial I in order to get the value of shear modulus by using equation as shown below. πΊ= ππ‘ πΏ φ πΌπ Fig. : Calculation of the shear modulus in Steel Torsion Testing Number One. The formula used to compute shear modulus by using the measured values torque, twisted angle, length and calculated value polar moment of inertial. Fig. : Graph plotting Mt*L against φ*I during Steel Torsion Test Number One Graph plotting the value of Mt*L against the value of φ*I. The linear approximation function π¦ = (10 π₯ 106 )π₯ − 0.5075 ππ ∗ ππ2 is represented by the dashed line connecting the initial and final measurements. Mt (lb*ft) 2.5 Ο(radians) 0.015 Mt*L(lb*in^2) 60 φ*I(in^4) 5.75243E-06 3.6 0.0215 86.4 4.5 0.026 108 Table 3: Part One: Second Trial Steel Torsion Testing Results 8.24515E-06 9.97088E-06 The applied torques and twisted angles of a specimen was measured by the torsion testing machine and Torsiometer, respectively. Multiply Torque Mt with the length of the specimen L and twisted angle φ with polar moment of inertial I in order to get the value of shear modulus. Fig. : Graph plotting Mt*L against φ*I during Steel Torsion Test Number Two Graph plotting the value of Mt*L against the value of φ*I. The linear approximation function π¦ = (10π₯ 106 )π₯ − 5.6632 ππ ∗ ππ2 is represented by the dashed line connecting the initial and final measurements. Mt (lb*ft) Mt*L(lb*in^2) Ο(radians) 2.4 0.0147 57.6 3.6 0.0213 86.4 4.4 0.0259 105.6 Table 4: Part One: Third Trial Aluminum Torsion Testing Results φ*I(in^4) 5.63738E-06 8.16845E-06 9.93253E-06 The applied torques and twisted angles of a specimen was measured by the torsion testing machine and Torsiometer, respectively. Multiply Torque Mt with the length of the specimen L and twisted angle φ with polar moment of inertial I in order to get the value of shear modulus. Fig. : Graph plotting Mt*L against φ*I during Aluminum Torsion Test Number Three Graph plotting the value of Mt*L against the value of φ*I. The linear approximation function π¦ = (10π₯ 106 )π₯ − 5.3402 ππ ∗ ππ2 is represented by the dashed line connecting the initial and final measurements. Trial Gexp (lb/in2) GSteel(lb/in2) 1 1.06E+07 1.20E+07 2 1.13E+07 1.20E+07 3 1.12E+07 1.20E+07 Table 5: Comparison of Experimentally determined ε εr 1.42E+06 1.19E-01 6.77E+05 5.64E-02 8.10E+05 6.75E-02 values for Shear modulus and associated errors and accuracies with known value of Shear Modulus for Steel Table giving the values calculated from linear regression for the Shear Modulus of Aluminum, or the slope of Mt*L vs. φ*I plots and their absolute (ε) and relative (εr) errors with respect to the known value for Young’s Modulus of Aluminum of πΊππ‘πππ = 10π₯106 ππ/ππ2 . Detailed calculations for Shear Modulus determined from each trial set and the uncertainties in the results can be found in Appendices G1-A6. Discussion Determining Young’s Modulus “E”: Young’s modulus “E” is defined as the constant of proportionality between the elongation of the bar and the tensile force applied. This is best expressed as the case of the spring, F = kx. However, an alternative form which incorporates the geometry of the beam is given in Eqn 1-4 (in the manual). This takes into account using the quantity of stress, the fact that a given force over a small cross section will produce a very large strain in response compared to a given force over a very large cross section, where the strain response is far less. It also involves the length of the specimen – for two beams of the same material such as a 1 m beam and a 10 cm beam – the 1 m beam may elongate much more than the 10 cm beam, however relative to the original size, they have the same percent elongation. This concept is called “strain”. “E” can be calculated from Eqn 1-6 (in the manual) and by obtaining test data using the data obtained from the Tinius Olsen 1000 Universal Digital Testing Machine which grips the specimen and applies tensile load to the tips. Using digital readouts and the knob tools to increase the load in incremental steps until the elastic range of 320 lbs or 420 lbs for aluminum and steel is reached respectively, strain values from the strain indicator can be plotted against the load over a variety of points. (the load is represented as engineering stress by dividing by the original cross sectional area) Looking at the trial data for aluminum under tensile loading in the elastic region in Table (the one that summarizes Eexp vs Eal for trial 1,2,3) the experimental E’s obtained were 9.70x10^6 lb/in2, 9.68x10^6 lb/in2, and 9.69x10^6 lb/in2 . This is compared to a theoretical E of 1.00x10^7 lb/in2. The accuracy obtained for the three trials were 97.04%, 96.83%, and 96.92%. There appears to be a very strong correlation of experiment with theory for aluminum in measuring Young’s Modulus. However, there are a few issues that explain the 3% inaccuracy which will be discussed in the case of the larger 6% inaccuracy that is shown for steel. The trial data for steel under the same conditions is given in Table (the one that summarizes Eexp vs Est for trial 1,2,3) is as follows: the experimental E’s obtained were 2.79x10^7 lb/in2, 2.78x10^7 lb/in2, and 2.79x10^7 lb/in2 . This is compared to a theoretical E of 3.00x10^7 lb/in2. The accuracy obtained for the three trials were 93.00%, 92.70%, and 93.00%. Firstly, in both the experimental and theoretical values it appears that steel has a far larger E value, almost 3x that of aluminum. This indicates for steel’s linear region is very steep and high stresses result in very small strains. This can be seen in a more qualitative manner by looking at a sample trial stress-strain curve for aluminum (Any trial graph stress-strain for aluminum) and comparing it’s elastic region with that of a sample trial stress-strain curve for steel (Any trial graph stress-strain for steel). The linear region for aluminum is far shallower in slope than for steel, indicating that aluminum is a more ductile metal. Secondly, the accuracy for steel is a bit lower than for aluminum which raises some questions. One possible reason such for inaccuracy in this experiment in general which apply both to the aluminum and the steel but more so for the latter, is the usage of engineering stress. Using engineering stress ignores the change in cross-sectional area as the specimen is being stressed, therefore ignoring the true stress in the material. The engineering stress divides the load values using the same initial cross-sectional area, meaning that it always reports lower stress values for a given strain than usual. In the tensile case, uniaxial tensile loading results in true stresses always greater than engineering stress. Since Young’s Modulus is calculated as the stress divided by the strain, if true stress is used, a higher and more accurate Young’s Modulus can be calculated. This can be done by equating the initial volume with the volume at a given loading and solving for the cross-section at that loading point given the strain data. Stress-strain curve allusion – refer and discuss how this one has a shallower linear region than steel, what is the proportional limit, yield point, ultimate strength Determining Poisson’s Ratio “v”: Poisson’s ratio is derived from the fact that axial tensile forces will also induce compressive strains in the other two directions, in addition to the expected axial strain. This operates under the assumption that the material doesn’t change significantly in density, maintaining a fixed volume for its given mass. It can be calculated from Eqn 1-7 (in the manual) and using data obtained from the Tinius apparatus, using the strain indicator which picks up the axial and transverse strains. Note that the transverse strain in the z-direction is not obtained, theoretically the axial strain and one of the two transverse directions are needed for the Poisson ratio. Looking at the trial data for aluminum under tensile loading in the elastic region in Table (the one that summarizes POISSON Vexp vs Val for trial 1,2,3) the experimental v’s obtained were 0.32820763, 0.32339856, and 0.32111065. This is compared to a theoretical v of 0.333. The accuracy obtained for the three trials were 98.56%, 97.12%, and 96.43%. The correlation between experimental and theoretical values is very strong in the case of aluminum. For steel under the same conditions in Table (the one that summarizes POISSON Vexp vs Vst for trial 1,2,3) ) the experimental v’s obtained were 0.27316959, 0.26844712, and 0.27090438. This is compared to a theoretical v of 0.333. The accuracy obtained for the three trials were 93.90%, 92.20%, and 93.10%. Here, similar to the issue with Young’s modulus, steel appears to produce more error. One explanation is that for given stresses, in reality, higher strains are sustained – this is in fact observed. This kind of behavior is the kind seen in the plastic region where for small changes in stresses, large changes in the elongation of the material can be observed. This is less the case for aluminum which experiences loading over a large range of strain values, meaning that the elastic region is fairly large and not influenced by the plastic region. However, for steel which enters the plastic region over a small range of strain values, the influence of plastic behavior may have some effect in reality on the elastic region, which results in a lower experimental Young’s modulus. Determining Torsional Shear Modulus “G”: Shear modulus “G” from Eqn 1-8 (in the manual) relates the shearing stress and the shearing strain which are connected by a constant of proportionality. Looking at Table (the one that summarizes torsional G data for aluminum for all trials) and Table (the one that summarizes torsional G data for steel for all trials) the experimental G’s obtained for aluminum were 4.80x10^6 lb/in2, 4.64x10^6 lb/in2, and 3.70x10^6 lb/in2 . This is compared to a theoretical E of 4.00x10^6 lb/in2 while the experimental G’s obtained for steel were 1.06x10^7 lb/in2, 1.13x10^6 lb/in2, and 1.12x10^6 lb/in2. This is compared to a theoretical G of 1.20x10^7 lb/in2. It should be pointed out that the number of data points is very low given the lack of accuracy in the torsiometer for very small applied torques. In fact, it is only good for one data point at the elastic limit of 2.5 lb-ft or 4.5 lb-ft for aluminum and steel. However, to be safe 3 trials were done for this one data point. Even then, for aluminum there is some major inconsistency as for Trial 1 and 2, the G values obtained are actually larger than the theoretical while the third is more sensible. Such behavior does not occur at all for the steel nor anywhere else. Thus variance from the first two trials must be discarded and subsequent analysis will be using the third trial for aluminum only. Ignoring that anomaly and utilizing trial 3 for aluminum, still there is far more variance for aluminum, far higher variance than what we see in steel, where the experimental values come much closer to the theoretical value. Assuming trial 3 is correct, it appears it shears at a lower shearing stress or at a higher shearing strain. There is an assumption that if the angle of twist is small, the circular cross sections of the shaft remain circular during the twist and their diameters and distances between them do not change. It appears this assumption may not hold very well for softer, more twistable metals which experience higher shearing strain and therefore higher twist angles which make this assumption invalid compared to stiffer metals that experience smaller changes in strain and twist angle, for which it may hold better. This is curious because in tensile loading, it appeared that the stiffer steel produced larger inaccuracies in Young’s Modulus G due to influence of the plastic region on the sharp elastic region while in the torsional testing, stiffer metals are preferred because they produce smaller angles of twist that make the assumption for elastic torsional shear theory work Error Analysis In the determination of Young's Modulus linear regression of the Stress-Strain measurements taken rendered expressions of (1) y = 82.44 + (9.70 x 106)x, (2) y = 17.1+ (9.68 x 106)x, and (3) y = 12.36 + (9.69 x 106)x. These linear expressions take the form y = a+bxi with ucertainties in the constants a and b of ua = 12 and ub = 37.6x103 in (1), ua =6.83 and ub = 20.3x103 in (2), and ua=10.349 and ub = 31.9x103 in (3). We consider the constant b of the linear expressions to represent Young's Modulus, which in all cases is very similar to the known value of 10 x 106 psi [1]. The uncertainties associated with these values while seemingly high, must be considered with the magnitudes of the quantities being measured. In this case, we are considering stresses on the order of 106 psi and errors on the order of 103 while not favorable, are reasonable. Similarly, analysis of the stress-strain measurements for steel rendered expression of (4) 37.105 + (27.9x106)x, (5) 28.104 + (27.8x106)x, and (6) 52.701 + (27x106)x. The associated uncertainties in the variables comprising these equations were found to be ua = 23.727 and ub=132,281.42 in (4), ua = 13.208 and ub=158,755.86 in (5), and ua = 29.087 and ub = 158,755.86 in (6). Again, the values calculated for the linear regression constant b were considered to represent the Young's Modulus for Steel and possessed relative accuracies nearing unity when considering the known value of 30 x 106 psi for steel [1]. Again, while the uncertainties ub may initially seem alarming, we consider the magnitudes of the stress measurements taken during testing. Poisson's Ratio for both materials was also determined via linear regression of transverse and axial strain measurements taken during testing. For Aluminum, this rendered linear expressions of the form (7) -7.325x10^-6 - 0.3282x, (8) -2.52x10-7 - 0.3234, and (9) -2.67x10-7 - 0.3211x. The uncertainties associated with the constants a and b comprising these linear expressions were found to be ua=6.94x107 and ub = 2.11x10-3 in (7), ua = 1.19x10-7 and ub=3.53x10-4 in (8), and ua=1.6x10-7 and ub = 4.94x10-4 in (9). The absolute value of the constant b representing the slope of each of these expressions is considered to be Poisson's Ratio, with relative accuracies of our experimentally determined results nearing unity with respect to the known value of Poisson's ratio for Aluminum of 0.33 [1]. The small uncertainties associated with both linear regression constants are further verification in the validity of the method used to determine Poison's ratio. Similarly, linear regression of the lateral-axial strain relationship for steel rendered equations of the form (10) 2.11x10-6 - 0.2732x, (11) 1.86x10-6 -.2685x, and (12) 9.19x10^-7 -0.2709x.Again, the absolute value of the constant b comprising the slopes of these equations can be interpreted as the Poisson's ratio for the steel. We can again consider the accuracy of these results with respect to the known value of 0.291 for steel, with results slightly less accurate than those found for aluminum averaging to approximately 0.93. The uncertainties associated with the constants comprising the linear expressions were found to be ua=2.95x10-7 and ub=1.64x10-3 in (10), ua = 2.5x10-7 and ub = 1.36x10-3 in (11), and ua = 9.1x10-7 and ub = 4.97x10-3 in (12). We can again consider both the magnitude of the measurements being taken, with strains of fractional order, as well as the accuracy of the linear regression constants with respect to the known value for Poisson's Ratio for steel of carbon-based steel of 0.292 [1]. Linear Regression of the Axial Stress-Axial Strain data obtained from the second aluminum tensile test rendered a linear approximation expression of the form y = (1.6 x 107)x + 2.8 x 104 psi, with uncertainties of ua = 2.05 x 105 in the intercept and ub = 2.7 x 108 in the slope. While these uncertainties are considerably large we must take the relative magnitudes of the quantities used in the regression, with computed stresses ranging from one kpsi to nearly fifty kpsi against deflections ranging from the micro-strain scale to mill-strain scale. Similarly, we must take careful consideration to the validity of the linear approximation, as it is known that the stress-strain relationship is linearly only within the elastic region of the stress strain plot. These trials sought to not only observe the behavior of the material in the elastic region, but also those associated with the ultimate tensile strength and fracture point within the plastic region of the stress-strain plot. These considerations in mind, only a small number of measurements of the population were taken within the elastic range, with substantially more measurements being taken in the plastic region where linear approximations are not valid. While the values obtained set a linear precedent that approximates well within the elastic region, it is the subsequent measurements taken in the plastic region which give rise to error in the complete linear approximation. In the determination of Shear Modulus of Aluminum via linear regression, we get expressions of (1) y = 1.77786 + (4.80 x 106)x, (2) y = 0.02490+ (4.64 x 106)x, and (3) y = 3.2429 + (3.70 x 106)x. These linear expressions take the form y = a+bxi with ucertainties in the constants a and b of ua = 2.5157 and ub = 291062 in (1), ua =0.75257 and ub = 89025 in (2), and ua=1.0068 and ub = 102517 (3). We consider the constant b of the linear expressions to represent Shear Modulus, which in all cases is very similar to the known value of 4 x 106 psi [1]. The uncertainties associated with these values while seemingly high, must be considered with the magnitudes of the quantities being measured. In this case, we are considering stresses on the order of 106 psi and errors on the order of 103 while not favorable, are reasonable. Similarly, analysis of the Torsion Testing measurements for steel rendered expression of (4) -5.66321 + (11.2x106)x, (5) -0.5074 + (10.58x106)x, and (6) -5.23017 + (11.19x106)x. The associated uncertainties in the variables comprising these equations were found to be ua = 4.3616and ub=531640 in (4), ua = 3.8743 and ub=470245 in (5), and ua = 1.109 and ub = 136805 in (6). Again, the values calculated for the linear regression constant b were considered to represent the Young's Modulus for Steel and possessed relative accuracies nearing unity when considering the known value of 10 x 106 psi for steel [1]. Again, while the uncertainties ub may initially seem alarming, we consider the magnitudes of the stress measurements taken during testing. Conclusion This experiment involved tensile loading in the elastic region for steel and aluminum, tensile loading until fracture for steel to map it’s stress strain curve, and torsional loads. All three are used to calculate three major material properties – Young’s Modulus “E”, Poisson’s Ratio “V”, and the Torsional Shear Modulus “G”. A major experimental flaw is in the torsional testing which requires a more accurate apparatus in future experiments to provide a range of values over several angles of twist in order to see if the assumption of small twist angles truly skews the data as for those cases the use of an elastic torsional shear modulus does not make sense since it will then exhibit plastic behavior. This is supported in this experiment, where only one reasonable trial existed to evaluate aluminum against steel due to few data points being obtainable – steel appeared to conform well, which says something about stiff metals and small angle of twist allowing for a more accurate G. However, softer metals like the aluminum appear to shear at far lower stresses or far higher strains which means significant changes in angles and the assumption used for the elastic shear modulus theory becomes more invalid as we saw for aluminum. For the tensile loading tests to verify results, it might be useful to compare results of the Poisson ratio calculated from both transverse directions not just from the y-direction but also from the z- direction. Although theoretically they should be equivalent, it may actually account for some of the inaccuracy by contributing to the strain in the experiment. Lastly, for the tensile loading until fracture testing to obtain the stress-strain curve, there is a serious issue in that loading in the plastic region often doesn’t stay constant for a reading once the load is halted. In fact, the load value immediately begins to drop which might be due to softening of the metal as it is being stressed, “giving way” as the load is kept for a certain amount of time. As a result, there is a great uncertainty from the range of values that are associated with a given strain and it makes it difficult to produce an accurate stress-strain curve, where the proportional limits and yield points may not truly be as calculated. This was mitigated as much as possible by systematically taking the immediate reading but it may actually overshoot the true value in some way. Reference [1] Budynas, Richard G (2010-01-29). Shigley's Mechanical Engineering Design (Mcgraw-Hill Series in Mechanical Engineering) (Page 1007). Science Engineering & Math. Kindle Edition. Beer, Ferdinand , E. Russell Johnston, Mechanics Of Materials. (McGraw-Hill in Mechanical Engineering) (Page 144-147) cience Engineering & Math. Kindle Edition. Appendices APPENDIX A Calculation of Young’s Modulus for Aluminum via Linear Regression -6 εxx (in/in) 2.80E-05 1.11E-04 1.95E-04 2.81E-04 3.67E-04 4.53E-04 5.39E-04 2 σxx (lb/in ) 330.578512 1161.98347 1983.47107 2826.44628 3646.28099 4462.80992 5302.47934 xixi 7.84E-10 1.22E-08 3.80E-08 7.87E-08 1.34E-07 2.05E-07 2.91E-07 xiyi 9.26E-03 1.28E-01 3.87E-01 7.93E-01 1.34E+00 2.02E+00 2.86E+00 a+bxi 354.2 1154.8 1974.8 2804.5 3639.1 4473.7 5313.1 (A1) [y-(a+bx)]2 556.24607 52.014698 75.395868 481.2452 51.82356 117.62205 112.38697 N Sx Sy Sxx Sxy a b θ ua ub (A2) 7 1.97E-03 19714.05 7.59E-07 7.53E+00 82.44189 9704339 1446.734 12.41106 37683.53 Tables A1, A2; Aluminum Tensile Test One Experimental Data used in determination of Young’s Modulus via Linear Regression Method and Calculated Linear Regression Variables (1) Table giving the measured axial strains and calculated axial stresses for each induced load, as well as the products used in Linear Regression Calculations (2) The variables N, Sx, Sy, Sxx, and Sxy used to calculate the constants a = 82.44189 and b = ππ 9,704,3392709 and their uncertainties via Linear Regression. The value π = 9.70π₯106 ππ2 represents the Young’s Modulus of the Aluminum as per trial one. -6 εxx (in/in) 3.65E-05 1.14E-04 2.01E-04 2.88E-04 3.74E-04 2 σxx (lb/in ) 360.330579 1127.27273 1966.94215 2793.38843 3638.01653 xixi 1.33E-09 1.29E-08 4.02E-08 8.27E-08 1.40E-07 xiyi 1.32E-02 1.28E-01 3.94E-01 8.03E-01 1.36E+00 a+bxi 370.5 1116.1 1958.5 2801.0 3638.6 (A3) [y-(a+bx)]2 102.4 125.6 71.1 57.3 0.3 N Sx Sy Sxx Sxy a (A4) 7 2.02E-03 19679.34 7.89E-07 7.67E+00 17.00948 4.62E-04 5.47E-04 4479.33884 5314.04959 2.13E-07 2.99E-07 2.07E+00 2.90E+00 4485.9 5308.9 42.4 26.2 b 9683303 θ 425.3265 ua 6.825904 ub 20336.82 Tables A3, A4; Aluminum Tensile Test Two Experimental Data used in determination of Young’s Modulus via Linear Regression Method and Calculated Linear Regression Variables (3) Table giving the measured axial strains and calculated axial stresses for each induced load, as well as the products used in Linear Regression Calculations (4) The variables N, Sx, Sy, Sxx, and Sxy used to calculate the constants a = 17.00948 and b = ππ 9,683,3032709 and their uncertainties via Linear Regression. The value π = 9.68π₯106 ππ2 represents the Young’s Modulus of the Aluminum as per trial two. εxx (in/in) -6 3.35E-05 1.20E-04 2.00E-04 2.70E-04 3.58E-04 4.42E-04 5.31E-04 2 σxx (lb/in ) 328.925619 8 1158.67768 6 1971.90082 6 2634.71074 4 3469.42148 8 4302.47933 9 5148.76033 1 xixi xiyi a+bxi (A5) [y-(a+bx)]2 N (A6) 7 1.12E-09 1.10E-02 337.0 65.8 Sx 1.95E-03 1.43E-08 1.38E-01 1170.5 140.8 Sy 19014.876 4.00E-08 3.94E-01 1950.7 447.5 Sxx 7.33E-07 7.26E-08 7.10E-01 2624.3 107.6 Sxy 7.13E+00 1.28E-07 1.24E+00 3477.2 61.0 a 1.95E-07 1.90E+00 4296.2 39.4 b 2.82E-07 2.73E+00 5158.8 100.4 θ 12.357102 9691948.9 6 962.56752 9 10.348645 6 31976.576 6 ua ub Tables A5, A6: Aluminum Tensile Test Three Experimental Data used in determination of Young’s Modulus via Linear Regression Method and Calculated Linear Regression Variables (a) Table giving the measured axial strains and calculated axial stresses for each induced load, as well as the products used in Linear Regression Calculations. (b) The variables N, Sx, Sy, Sxx, and Sxy used to calculate the constants a = 12.3571 and b = ππ 9,691,9492709 and their uncertainties via Linear Regression. The value π = 9.69π₯106 ππ2 represents the Young’s Modulus of the Aluminum as per trial three. APPENDIX B Calculation of Poisson’s Ratio for Aluminum via Linear Regression (B2) εxx (in/in) εyy (in/in) xixi xiyi a+bxi N 7 2.80E-05 -1.50E-05 7.84E-10 -4.20E-10 -1.65E-05 Sx 1.97E-03 1.11E-04 -4.45E-05 1.22E-08 -4.92E-09 -4.36E-05 Sy -0.0007 1.95E-04 -7.20E-05 3.80E-08 -1.40E-08 -7.13E-05 Sxx 7.59E-07 2.81E-04 -1.00E-04 7.87E-08 -2.81E-08 -9.94E-05 Sxy -2.64E-07 3.67E-04 -1.28E-04 1.34E-07 -4.67E-08 -1.28E-04 a -7.3E-06 4.53E-04 -1.56E-04 2.05E-07 -7.06E-08 -1.56E-04 b -0.32821 5.39E-04 -1.84E-04 2.91E-07 -9.89E-08 -1.84E-04 θ 4.52E-12 ua 6.94E-07 ub 0.002107 Tables B1, B2: Aluminum Tensile Test One Experimental Data used in determination of Poisson’s Ratio -6 -6 (B1) [y-(a+bx)]2 2.22E-12 8.701E-13 4.887E-13 4.059E-13 7.915E-15 3.422E-14 4.973E-13 via Linear Regression Method and Calculated Linear Regression Variables (B1) Table giving the measured axial and lateral strains for each induced load, as well as the products used in Linear Regression Calculations. (B2) The variables N, Sx, Sy, Sxx, and Sxy used to calculate the constants π = −7.3 π₯ 10−6 and π = −0.32821 2709 and their uncertainties via Linear Regression. The value π = −0.32821 is used to π compute Poisson’s Ratio via the relation π = − ππ¦π¦ = −π. π₯π₯ εxx (in/in) -6 -6 εyy (in/in) 3.65E-05 -1.15E-05 1.14E-04 -3.65E-05 2.01E-04 -6.45E-05 2.88E-04 -9.30E-05 3.74E-04 -1.21E-04 4.62E-04 5.47E-04 -1.49E-04 -1.77E-04 xixi xiyi a+bxi 1.33E-09 -4.20E-10 -1.16E-05 1.29E-08 -4.14E-09 -3.65E-05 4.02E-08 -1.29E-08 -6.46E-05 8.27E-08 -2.67E-08 -9.27E-05 1.40E-07 2.13E-07 2.99E-07 -4.51E-08 -6.88E-08 -9.65E-08 -1.21E-04 -1.49E-04 -1.76E-04 (B3) [y-(a+bx)]2 2.71441E15 2.12521E15 8.04609E15 7.53502E14 3.98402E14 8.41E-18 1.9321E-16 N (B4) 7 Sx 2.02E-03 Sy -0.000652 Sxx 7.89E-07 Sxy -2.55E-07 a 2.52E-07 b -0.323399 θ 1.28E-13 ua 1.19E-07 ub 0.000353 Tables B3, B4: Aluminum Tensile Test Two Experimental Data used in determination of Poisson’s Ratio via Linear Regression Method and Calculated Linear Regression Variables (B3) Table giving the measured axial and lateral strains for each induced load, as well as the products used in Linear Regression Calculations. (B4) The variables N, Sx, Sy, Sxx, and Sxy used to calculate the constants π = 2.52 π₯ 10−7 and π = −0.3234 2709 and their uncertainties via Linear Regression. The value π = −0.3234 is used to ππ¦π¦ compute Poisson’s Ratio via the relation π = − π εxx (in/in)-6 εyy (in/in)-6 3.35E-05 -1.10E-05 1.20E-04 -3.85E-05 2.00E-04 -6.45E-05 π₯π₯ = −π. xixi xiyi a+bxi 1.12E-09 -3.69E-10 -1.10E-05 1.43E-08 4.00E-08 -4.60E-09 -1.29E-08 -3.86E-05 -6.45E-05 (a) [y-(a+bx)]2 7.39024E16 2.03476E14 6.4E-17 N (b) 7 Sx 1.95E-03 Sy Sxx -0.000629 7.33E-07 2.70E-04 -8.70E-05 3.58E-04 -1.15E-04 4.42E-04 -1.43E-04 5.31E-04 -1.71E-04 7.26E-08 -2.34E-08 -8.68E-05 1.28E-07 -4.11E-08 -1.15E-04 1.95E-07 -6.30E-08 -1.42E-04 2.82E-07 -9.05E-08 -1.71E-04 3.64256E14 4.46558E15 8.96284E14 7.80699E14 Sxy -2.36E-07 a -2.673E-07 b -0.3211107 θ 2.2974E-13 ua 1.5988E-07 ub 0.00049401 Tables B5, B6: Aluminum Tensile Test Three Experimental Data used in determination of Poisson’s Ratio via Linear Regression Method and Calculated Linear Regression Variables (B5) Table giving the measured axial and lateral strains for each induced load, as well as the products used in Linear Regression Calculations. (B6) The variables N, Sx, Sy, Sxx, and Sxy used to calculate the constants π = −2.67π₯ 10−7 and π = −0.3211 2709 and their uncertainties via Linear Regression. The value π = −0.3211 is used to ππ¦π¦ compute Poisson’s Ratio via the relation π = − π π₯π₯ = −π. APPENDIX C Calculation of Young’s Modulus for Steel via Linear Regression εxx (in/in)-6 1.05E-05 3.80E-05 6.65E-05 9.65E-05 1.27E-04 1.53E-04 1.83E-04 2.15E-04 2.42E-04 2.69E-04 2.98E-04 2 σxx (lb/in ) 286.108999 1067.59529 1922.65248 2735.20203 3570.64031 4365.20588 5182.66016 6006.65408 6832.2829 7499.3256 8305.33552 xixi 1.10E-10 1.44E-09 4.42E-09 9.31E-09 1.60E-08 2.34E-08 3.35E-08 4.62E-08 5.86E-08 7.24E-08 8.85E-08 xiyi 3.00E-03 4.06E-02 1.28E-01 2.64E-01 4.52E-01 6.68E-01 9.48E-01 1.29E+00 1.65E+00 2.02E+00 2.47E+00 a+bxi 330.1 1097.4 1892.7 2729.8 3566.8 4306.3 5143.4 6036.3 6789.7 7543.0 8338.3 (C1) [y-(a+bx)]2 1934.1 889.7 899.5 29.7 14.4 3472.4 1543.6 877.2 1817.2 1910.8 1085.1 N Sx Sy Sxx Sxy a b θ ua ub (C2) 11 1.70E-03 47773.66326 3.54E-07 9.94E+00 37.10474271 27903099.32 14473.5 23.726956 132291.4213 Tables C1, C2: Steel Tensile Test One Experimental Data used in determination of Young’s Modulus via Linear Regression Method and Calculated Linear Regression Variables (C1) Table giving the measured axial strains and calculated axial stresses for each induced load, as well as the products used in Linear Regression Calculations (C2) The variables N, Sx, Sy, Sxx, and Sxy used to calculate the constants a = 37.10474271 and b = ππ 27,903,099.32 2709 and their uncertainties via Linear Regression. The value π = 27.9 π₯ 106 ππ2 represents the Young’s Modulus of the Steel as per trial one. (a) (b) 2 εxx (in/in) σxx (lb/in ) xixi xiyi a+bxi [y-(a+bx)] N 11 1.20E-05 333.521348 1.44E-10 4.00E-03 362.0 808.6 Sx 1.74E-03 4.10E-05 1154.24545 1.68E-09 4.73E-02 1168.8 210.9 Sy 48759.51312 7.00E-05 1978.23937 4.90E-09 1.38E-01 1975.6 7.1 Sxx 3.71E-07 9.90E-05 2787.51911 9.80E-09 2.76E-01 2782.4 26.3 Sxy 1.04E+01 1.28E-04 3611.51303 1.63E-08 4.60E-01 3575.3 1312.2 a 28.10415349 1.59E-04 4443.68149 2.51E-08 7.04E-01 4437.7 35.3 b 27821055.09 1.88E-04 5259.50086 3.52E-08 9.86E-01 5244.6 223.5 θ 4439.3 2.17E-04 6076.95515 4.71E-08 1.32E+00 6065.3 136.5 ua 13.20844617 2.46E-04 6876.42544 6.03E-08 1.69E+00 6858.2 333.1 ub 71913.05122 2.77E-04 7708.5939 7.67E-08 2.14E+00 7734.5 673.0 3.07E-04 8529.318 9.39E-08 2.61E+00 8555.3 672.9 Tables C3, C4: Steel Tensile Test Two Experimental Data used in determination of Young’s Modulus via -6 2 Linear Regression Method and Calculated Linear Regression Variables (C3) Table giving the measured axial strains and calculated axial stresses for each induced load, as well as the products used in Linear Regression Calculations (C4) The variables N, Sx, Sy, Sxx, and Sxy used to calculate the constants a =28.10415349 and b = ππ 27,821,055.09 2709 and their uncertainties via Linear Regression. The value π = 28.1 π₯ 106 ππ2 represents the Young’s Modulus of the Steel as per trial two. εxx (in/in) -6 1.10E-05 3.95E-05 6.90E-05 9.80E-05 1.28E-04 1.56E-04 1.86E-04 2.18E-04 2.48E-04 2.77E-04 3.05E-04 2 σxx (lb/in ) 328.616622 1159.15017 1965.1601 2805.5031 3611.51303 4443.68149 5259.50086 6135.81185 6964.7105 7759.27606 8534.22272 xixi 1.21E-10 1.56E-09 4.76E-09 9.60E-09 1.63E-08 2.43E-08 3.46E-08 4.73E-08 6.13E-08 7.67E-08 9.27E-08 xiyi 3.61E-03 4.58E-02 1.36E-01 2.75E-01 4.60E-01 6.93E-01 9.78E-01 1.33E+00 1.72E+00 2.15E+00 2.60E+00 a+bxi 334.1 1127.0 1947.8 2754.6 3575.3 4368.2 5202.8 6079.2 6913.8 7734.5 8499.6 (a) [y-(a+bx)]2 30.5 1031.3 302.9 2594.4 1312.2 5699.2 3212.7 3206.8 2590.3 612.1 1197.7 N Sx Sy Sxx Sxy a b θ ua ub (b) 11 1.73E-03 48967.14651 3.69E-07 1.04E+01 52.70075345 27913145.79 21789.9 29.08650092 158755.8637 Tables C5, C6: Steel Tensile Test Three Experimental Data used in determination of Young’s Modulus via Linear Regression Method and Calculated Linear Regression Variables (C5) Table giving the measured axial strains and calculated axial stresses for each induced load, as well as the products used in Linear Regression Calculations (C6) The variables N, Sx, Sy, Sxx, and Sxy used to calculate the constants a =52.70075345 and b = ππ 27,913,145.79 2709 and their uncertainties via Linear Regression. The value π = 27.9 π₯ 106 ππ2 represents the Young’s Modulus of the Steel as per trial three. APPENDIX D Calculation of Poisson’s Ratio for Steel via Linear Regression εxx (in/in) -6 -6 εyy (in/in) 1.05E-05 -1.50E-06 3.80E-05 -8.00E-06 6.65E-05 -1.60E-05 9.65E-05 -2.40E-05 xixi xiyi a+bxi 1.10E-10 -1.58E-11 -7.59E-07 1.44E-09 -3.04E-10 -8.27E-06 4.42E-09 9.31E-09 -1.06E-09 -2.32E-09 -1.61E-05 -2.43E-05 (D1) [y-(a+bx)]2 5.49525E13 7.33675E14 3.15819E15 6.31444E- N (D2) 11 Sx 1.70E-03 Sy -0.0004405 Sxx Sxy 3.54E-07 -9.31E-08 14 1.99249E1.27E-04 -3.20E-05 1.60E-08 -4.05E-09 -3.24E-05 13 a 2.10958E-06 9.89938E1.53E-04 -4.00E-05 2.34E-08 -6.12E-09 -3.97E-05 14 b -0.27316959 1.83E-04 -4.80E-05 3.35E-08 -8.78E-09 -4.79E-05 1.4291E-14 θ 2.23597E-12 3.86737E2.15E-04 -5.60E-05 4.62E-08 -1.20E-08 -5.66E-05 13 ua 2.94909E-07 6.44764E2.42E-04 -6.40E-05 5.86E-08 -1.55E-08 -6.40E-05 18 ub 0.001644284 1.39159E2.69E-04 -7.10E-05 7.24E-08 -1.91E-08 -7.14E-05 13 7.08336E2.98E-04 -8.00E-05 8.85E-08 -2.38E-08 -7.92E-05 13 Tables D1, D2: Steel Tensile Test One Experimental Data used in determination of Poisson’s Ratio via Linear Regression Method and Calculated Linear Regression Variables (D1) Table giving the measured axial and lateral strains for each induced load, as well as the products used in Linear Regression Calculations. (D2) The variables N, Sx, Sy, Sxx, and Sxy used to calculate the constants π = 2.109 π₯ 10−6 and π = −0.2732 2709 and their uncertainties via Linear Regression. The value π = −0.2732 is used to compute Poisson’s Ratio via the relation π = − ππ¦π¦ ππ₯π₯ = −π. (D3) εxx (in/in) - (D4) - εyy (in/in) 6 6 1.20E-05 -2.00E-06 4.10E-05 -9.00E-06 7.00E-05 9.90E-05 -1.65E-05 -2.45E-05 xixi xiyi a+bxi 1.44E-10 -2.40E-11 -1.36E-06 1.68E-09 4.90E-09 9.80E-09 -3.69E-10 -1.16E-09 -2.43E-09 -9.14E-06 -1.69E-05 -2.47E-05 [y-(a+bx)]2 4.12594E13 2.03439E14 1.8284E-13 4.51838E- N 11 Sx 1.74E-03 Sy Sxx Sxy -4.47E-04 3.71E-07 -9.64E-08 14 1.31993E1.28E-04 -3.20E-05 1.63E-08 -4.08E-09 -3.24E-05 13 a 1.8637E-06 3.42874E1.59E-04 -4.05E-05 2.51E-08 -6.42E-09 -4.07E-05 14 b 0.268447118 2.80757E1.88E-04 -4.90E-05 3.52E-08 -9.19E-09 -4.85E-05 13 θ 1.58512E-12 1.22489E2.17E-04 -5.65E-05 4.71E-08 -1.23E-08 -5.64E-05 14 ua 2.49589E-07 2.11537E2.46E-04 -6.45E-05 6.03E-08 -1.58E-08 -6.40E-05 13 ub 0.001358879 2.46167E2.77E-04 -7.20E-05 7.67E-08 -1.99E-08 -7.25E-05 13 7.16693E3.07E-04 -8.05E-05 9.39E-08 -2.47E-08 -8.04E-05 15 Tables D3, D4: Steel Tensile Test Two Experimental Data used in determination of Poisson’s Ratio via Linear Regression Method and Calculated Linear Regression Variables (D3) Table giving the measured axial and lateral strains for each induced load, as well as the products used in Linear Regression Calculations. (D4) The variables N, Sx, Sy, Sxx, and Sxy used to calculated the constants π = 1.864 π₯ 10−6 and π = −0.2684 2709 and their uncertainties via Linear Regression. The value π = −0.2684 is used to π compute Poisson’s Ratio via the relation π = − ππ¦π¦ = −π. π₯π₯ -6 -6 εxx (in/in) 1.10E-05 3.95E-05 εyy (in/in) -2.50E-06 -1.00E-05 6.90E-05 -1.75E-05 9.80E-05 -2.55E-05 1.28E-04 -3.30E-05 1.56E-04 -4.10E-05 1.86E-04 -4.95E-05 2.18E-04 -5.85E-05 xixi 1.21E-10 1.56E-09 xiyi -2.75E-11 -3.95E-10 a+bxi -1.09E-06 -8.74E-06 4.76E-09 -1.21E-09 -1.67E-05 9.60E-09 -2.50E-09 -2.44E-05 1.63E-08 -4.21E-09 -3.24E-05 2.43E-08 -6.40E-09 -4.00E-05 3.46E-08 4.73E-08 -9.21E-09 -1.27E-08 -4.81E-05 -5.65E-05 (D5) [y-(a+bx)]2 1.9903E-12 1.5877E-12 7.07027E13 1.11489E12 4.05377E13 9.72096E13 2.05216E12 3.90636E- N Sx Sy (D6) 11 1.73E-03 -4.60E-04 Sxx 3.69E-07 Sxy -9.84E-08 a b 9.1934E-07 0.270904379 θ ua 2.1325E-11 9.0993E-07 12 3.69807E2.48E-04 -6.65E-05 6.13E-08 -1.65E-08 -6.46E-05 12 ub 0.004966452 2.26156E2.77E-04 -7.40E-05 7.67E-08 -2.05E-08 -7.25E-05 12 2.62943E3.05E-04 -8.15E-05 9.27E-08 -2.48E-08 -7.99E-05 12 Tables D5, D6: Steel Tensile Test Three Experimental Data used in determination of Poisson’s Ratio via Linear Regression Method and Calculated Linear Regression Variables (D5) Table giving the measured axial and lateral strains for each induced load, as well as the products used in Linear Regression Calculations. (D6) The variables N, Sx, Sy, Sxx, and Sxy used to calculate the constants π = 9.193 π₯ 10−7 and π = −0.2709 and their uncertainties via Linear Regression. The value π = −0.2709 is used to compute Poisson’s Ratio via the relation π = − ππ¦π¦ ππ₯π₯ = −π. APPENDIX E Linear Regression Uncertainty Calculations for Aluminum Tensile Testing Stress-Strain Plot εxx (in/in) 0.00E+00 6.01E-07 3.76E-06 7.06E-06 1.07E-05 1.46E-05 1.87E-05 2.32E-05 2.78E-05 3.30E-05 3.85E-05 4.71E-05 6.26E-05 1.50E-04 2.22E-04 σxx (lb/in2) xixi xiyi 1128.2 0.00E+00 0.00E+00 3954.4 3.61E-13 2.38E-03 6831.9 1.41E-11 2.57E-02 9709.4 4.98E-11 6.85E-02 12535.6 1.14E-10 1.34E-01 15424.5 2.12E-10 2.25E-01 18250.7 3.50E-10 3.41E-01 21151.0 5.39E-10 4.91E-01 23920.2 7.72E-10 6.65E-01 26797.7 1.09E-09 8.86E-01 29618.2 1.48E-09 1.14E+00 32507.1 2.22E-09 1.53E+00 35339.0 3.91E-09 2.21E+00 38205.1 2.25E-08 5.73E+00 38940.2 4.95E-08 8.66E+00 a+bxi 28.1 44.8 132.6 224.5 324.8 433.4 548.4 673.7 801.2 947.4 1097.9 1338.2 1768.6 4198.6 6216.9 [y-(a+bx)]2 1.2E+06 1.5E+07 4.5E+07 9.0E+07 1.5E+08 2.2E+08 3.1E+08 4.2E+08 5.3E+08 6.7E+08 8.2E+11 9.0E+11 9.8E+11 1.1E+12 1.1E+12 2.31E-04 2.39E-04 2.46E-04 2.54E-04 2.65E-04 2.73E-04 2.84E-04 2.91E-04 2.99E-04 3.08E-04 3.15E-04 3.24E-04 3.33E-04 3.57E-04 3.66E-04 3.72E-04 3.89E-04 4.05E-04 4.35E-04 4.64E-04 4.93E-04 5.26E-04 5.55E-04 5.89E-04 6.28E-04 6.66E-04 7.02E-04 7.41E-04 7.79E-04 8.17E-04 8.53E-04 9.09E-04 9.46E-04 9.88E-04 1.03E-03 1.07E-03 1.11E-03 1.15E-03 1.19E-03 1.23E-03 1.27E-03 39504.3 39282.1 39202.3 38792.0 40227.9 40114.0 40455.8 40057.0 40512.8 40472.9 40438.7 40541.3 40655.3 40621.1 40945.9 40968.7 41105.4 40997.2 40985.8 41270.7 41168.1 41737.9 42005.7 42222.2 42524.2 40757.8 43190.9 42279.2 42797.7 43076.9 43646.7 43441.6 43646.7 44387.5 44444.4 44558.4 44792.0 44735.0 45185.2 45299.1 45242.2 5.32E-08 5.70E-08 6.05E-08 6.46E-08 7.03E-08 7.47E-08 8.09E-08 8.46E-08 8.97E-08 9.46E-08 9.92E-08 1.05E-07 1.11E-07 1.28E-07 1.34E-07 1.38E-07 1.52E-07 1.64E-07 1.89E-07 2.15E-07 2.43E-07 2.77E-07 3.08E-07 3.47E-07 3.94E-07 4.44E-07 4.92E-07 5.49E-07 6.06E-07 6.68E-07 7.27E-07 8.26E-07 8.94E-07 9.77E-07 1.05E-06 1.13E-06 1.23E-06 1.33E-06 1.42E-06 1.51E-06 1.61E-06 9.11E+00 9.38E+00 9.65E+00 9.86E+00 1.07E+01 1.10E+01 1.15E+01 1.17E+01 1.21E+01 1.24E+01 1.27E+01 1.31E+01 1.35E+01 1.45E+01 1.50E+01 1.52E+01 1.60E+01 1.66E+01 1.78E+01 1.91E+01 2.03E+01 2.20E+01 2.33E+01 2.49E+01 2.67E+01 2.72E+01 3.03E+01 3.13E+01 3.33E+01 3.52E+01 3.72E+01 3.95E+01 4.13E+01 4.39E+01 4.56E+01 4.75E+01 4.97E+01 5.17E+01 5.39E+01 5.57E+01 5.74E+01 6442.6 6668.2 6873.0 7098.6 7405.8 7633.5 7942.8 8122.5 8358.6 8584.2 8789.0 9037.6 9292.5 9973.7 10211.9 10370.6 10857.5 11287.9 12119.5 12936.4 13738.8 14660.2 15458.3 16425.7 17487.2 18569.5 19547.3 20650.5 21686.9 22762.9 23747.0 25312.0 26335.8 27528.8 28579.8 29662.1 30896.9 32150.6 33191.1 34223.3 35301.4 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.1E+12 1.2E+12 1.2E+12 1.2E+12 1.2E+12 1.1E+12 1.2E+12 1.2E+12 1.2E+12 1.2E+12 1.2E+12 1.2E+12 1.2E+12 1.2E+12 1.2E+12 1.2E+12 1.2E+12 1.2E+12 1.3E+12 1.3E+12 1.3E+12 1.30E-03 45071.2 1.70E-06 5.87E+01 36266.7 1.3E+12 1.34E-03 45014.2 1.80E-06 6.04E+01 37369.9 1.3E+12 1.38E-03 45584.0 1.90E-06 6.29E+01 38414.6 1.3E+12 1.42E-03 45652.4 2.00E-06 6.46E+01 39415.4 1.3E+12 1.45E-03 45812.0 2.11E-06 6.66E+01 40479.0 1.3E+12 1.48E-03 45829.1 2.20E-06 6.80E+01 41312.6 1.3E+12 1.52E-03 45641.0 2.30E-06 6.92E+01 42223.6 1.3E+12 Table E1: Aluminum Tensile Testing Data used in Linear Regression Uncertainty Analysis Table giving the calculated axial strains and stresses, the products used in linear regression calculations, the axial stress as per the approximation function calculated using linear regression, and the error propagation term associated with each measurement. N 63 Sx 3.52E-02 Sy 2351208.0 Sxx 3.33E-05 Sxy 1.53E+03 a 2.8E+04 b 1.6E+07 θ 6.2E+13 ua 2.0E+05 ub 2.7E+08 Table E2: Linear Regression Variables and Uncertainties Table giving the parameters N, Sx, Sy, Sxx, and Sxy used in linear regression calculations, the constants a and b of the equation π¦ = π + ππ₯π calculated using linear regression, the error propagation θ of the experimental results, and the uncertainties of the linear regression constants a and b. APPENDIX F Calculation of Shear Modulus for Aluminum via Linear Regression F1 Mt*L y 14.4 26.4 φ*I x 3.6432E-06 5.52233E-06 xixi 1.32729E-11 3.04961E-11 xiyi 5.24621E-05 0.00014579 a+bxi 15.72755639 24.75666564 [y-(a+bx)]2 1.762405966 2.700547835 62.4 1.34223E-05 1.80159E-10 Mt*L y 12 24 62.4 φ*I x 2.49272E-06 5.29223E-06 1.34223E-05 xixi 6.21365E-12 2.80077E-11 1.80159E-10 Mt*L y 12 40.8 57.6 φ*I x 2.30097E-06 1.03544E-05 1.45728E-05 xixi 5.29447E-12 1.07213E-10 2.12367E-10 0.000837554 62.71577798 0.09971573 a+bxi 11.58211988 24.5617728 62.25610732 [y-(a+bx)]2 0.174623795 0.315588682 0.020705104 a+bxi 11.75031526 41.52635561 57.12332913 [y-(a+bx)]2 0.06234247 0.527592475 0.227215118 F3 xiyi 2.99126E-05 0.000127014 0.000837554 F5 xiyi 2.76117E-05 0.000422458 0.000839394 F2 F4 F6 N 3 N 3 N 3 Sx 2.25879E-05 Sx 2.12073E-05 Sx 2.72282E-05 Sy 103.2 Sy 98.4 Sy 110.4 Sxx 2.23928E-10 Sxx 2.1438E-10 Sxx 3.24874E-10 Sxy 0.001035805 Sxy 0.00099448 Sxy 0.001289464 a -1.777859496 a 0.024894675 a 3.242875158 b 4804950.286 b 4636393.522 b 3697325.794 θ 4.562669531 θ 0.51091758 θ 0.817150063 ua 2.51466476 ua 0.75257266 ua 1.066834805 ub 291062.6339 ub 89025.9359 ub 102517.9743 Tables F1, F3, F5 represent Aluminum Torsion Test results or trial 1, trial 2 and trial 3 respectively. Experimental Data used in determination of Shear Modulus via Linear Regression Method and Calculated Linear Regression Variables (5) Table F1, F3 and F5 giving the measured torques and twisted angles, as well as the products such asφ*I and Mt*L that are used in Linear Regression Calculations for trial 1, trial 2, and trial 3 respectively. (6) In Table F2, F4 and F6, the variables N, Sx, Sy, Sxx, and Sxy are used to calculate the constants a, b and their uncertainties via Linear Regression for trial 1, trial 2, and trial 3 respectively. The value π represents the Shear Modulus of the Aluminum as per trial one. APPENDIX G Calculation of Shear Modulus for Steel via Linear Regression G1 Mt*L y 62.4 86.4 105.6 φ*I x 5.90583E-06 8.32185E-06 9.97088E-06 xixi 3.48788E-11 6.92531E-11 9.94184E-11 xiyi 0.000368524 0.000719007 0.001052924 a+bxi 61.9521989 87.50388179 104.9439193 [y-(a+bx)]2 0.200525827 1.218555 0.430441865 a+bxi 59.47029973 87.69482289 107.2348774 [y-(a+bx)]2 0.280582379 1.676566312 0.585412617 a+bxi 57.7393353 86.06074884 105.7999159 [y-(a+bx)]2 0.019414325 0.115091347 0.039966351 G3 Mt*L y 60 86.4 108 φ*I x 5.75243E-06 8.24515E-06 9.97088E-06 xixi 3.30904E-11 6.79824E-11 9.94184E-11 xiyi 0.000345146 0.000712381 0.001076855 G5 Mt*L y 57.6 86.4 105.6 φ*I x 5.63738E-06 8.16845E-06 9.93253E-06 xixi 3.178E-11 6.67235E-11 9.86551E-11 G2 xiyi 0.000324713 0.000705754 0.001048875 G4 G6 N 3 N 3 N 3 Sx 2.41985E-05 Sx 2.39684E-05 Sx 2.37384E-05 Sy 254.4 Sy 254.4 Sy 249.6 Sxx 2.0355E-10 Sxx 2.00491E-10 Sxx 1.97159E-10 Sxy 0.002140455 Sxy 0.002134381 Sxy 0.002079342 a -0.507470388 a -5.663215259 a -5.340176693 b 10575941.27 b 11322786.74 b 11189509.8 θ 1.849522693 θ 2.542561308 θ 0.174472024 ua 3.874294166 ua 4.346157251 ua 1.10905045 ub 470345.9416 ub 531640.8955 ub 136805.6434 Tables G1, G3, G5 represent Aluminum Torsion Test results or trial 1, trial 2 and trial 3 respectively. Experimental Data used in determination of Shear Modulus via Linear Regression Method and Calculated Linear Regression Variables (1) Table G1, G3 and G5 giving the measured torques and twisted angles, as well as the products such asφ*I and Mt*L that are used in Linear Regression Calculations for trial 1, trial 2, and trial 3 respectively. (2) In Table G2, G4 and G6, the variables N, Sx, Sy, Sxx, and Sxy are used to calculate the constants a, b and their uncertainties via Linear Regression for trial 1, trial 2, and trial 3 respectively. The value π represents the Shear Modulus of the Aluminum as per trial one.