Lab Report 1: Basic Measurement Sean Michelino Lim (2022360012) Department of Mechanical Engineering, Sampoerna University MECH3316 - A: Instrumentation Laboratory Nikolas Krisma Hadi Fernandez March 6th, 2025 1 Table of Contents Table of Contents ....................................................................................................................... 2 List of Figures ............................................................................................................................ 3 List of Tables ............................................................................................................................. 3 List of Equations ........................................................................................................................ 3 Chapter I Introduction ................................................................................................................ 4 Chapter II Methodology ............................................................................................................. 5 2.1 Materials and Apparatus used .......................................................................................... 5 2.2 Experimental Procedure ................................................................................................... 5 2.3 Key Equations .................................................................................................................. 6 Chapter III Result and Discussion ............................................................................................. 9 3.1 Result................................................................................................................................ 9 3.2 Discussion and analysis.................................................................................................. 14 Chapter IV Conclusion ............................................................................................................ 16 References ................................................................................................................................ 17 2 List of Figures No table of figures entries found. List of Tables Table 1: Materials and Apparatus list ......................................................................................... 5 Table 2: Experiment 1 results .................................................................................................... 9 Table 3: Experiment 2 - block 1 ................................................................................................. 9 Table 4:Experiment 2 - block 2 ................................................................................................ 10 Table 5:Experiment 2 - block 3 ................................................................................................ 11 Table 6: Experiment 2 - block 4 ............................................................................................... 11 Table 7: Experiment 2 - Marble ............................................................................................... 12 Table 8: Experiment 2 – Metal ball.......................................................................................... 13 List of Equations Equation 1: Shows the equation to calculate the least count of an analogue device. ................ 6 Equation 2: Shows the equation to calculate the least count of a Digital device....................... 6 Equation 3: Shows the equation for sample standard deviation ................................................ 6 Equation 4: Shows the equation for mean standard error .......................................................... 7 Equation 5: Shows the equation for expanded uncertainty (with 95% confidence) .................. 7 Equation 6: Shows the equation for Volume of a cube .............................................................. 7 Equation 7: Shows the equation for uncertainty of a cube’s volume ......................................... 7 Equation 8: Shows the equation for density .............................................................................. 7 Equation 9: Shows the equation for uncertainty of density ....................................................... 7 Equation 10: Shows the equation for Volume of a sphere ......................................................... 7 Equation 11: Shows the equation for uncertainty of a sphere’s volume .................................... 7 3 Chapter I Introduction Measurement serves as a fundamental pillar of scientific inquiry and engineering practice, playing a crucial role in quantifying, analysing, and understanding the physical world. From basic physics to complex engineering applications, precise and accurate measurements are indispensable for validating theoretical models and ensuring the reliability of experimental results. This laboratory module represents an essential starting point in the Instrumentation Laboratory course, focusing on the foundational principles of measurement techniques and uncertainty analysis. One of the primary objectives of this experiment is to explore the importance of repeated measurements, which not only enhance the reliability of collected data but also provide a means to assess the precision and accuracy of different measuring instruments. Measurement errors are inherent in any experimental procedure due to factors such as instrument limitations, human perception, and environmental conditions. Thus, understanding the concepts of uncertainty, resolution, and precision is vital in ensuring that reported values are both meaningful and statistically robust. This experiment specifically focuses on dimensional measurements, utilizing two widely used precision instruments: the vernier calliper and the micrometre. These tools allow for highly accurate readings by improving upon the resolution limits of simpler measuring devices like standard rulers. By measuring the dimensions of a three-dimensional object multiple times, students will gain hands-on experience in data acquisition, error reduction techniques, and uncertainty quantification. Additionally, this lab introduces the principles of significant figures and propagation of uncertainty, both of which are critical in engineering measurements. Through this experiment, students will not only develop a deeper understanding of measurement fundamentals but also cultivate essential analytical skills necessary for future experimental and industrial applications. The ability to critically evaluate measurement data, identify sources of error, and apply statistical methods to improve accuracy forms the backbone of effective engineering practice. 4 Chapter II Methodology 2.1 Materials and Apparatus used Table 1: Materials and Apparatus list Materials Name Amount Note Blocks 4x 4 blocks made of varying materials are provided Balls 2x 2 balls made from different materials are provided Apparatus Digital Multimeter 1x Stopwatch 1x Digital weight scale 1x Triple arm balance 1x Vernier calliper 1x Micrometre 1x Thermometer 1x Thermogun 1x Ruler 1x Includes: Amperemeter Voltmeter ohmmeter Table 1 displays the materials and apparatus that are necessary and crucial to conduct this experiment including the names and quantity and a note for detail which is required to replicate this experiment 2.2 Experimental Procedure This experiment follows the following procedure: Setup: 5 • Prepare all the apparatus in a table in a line to simplify the experiment in the any order with vernier calliper and micrometre at the end, followed by the materials First experiment: • • Identify the least count of each apparatus by looking at either the digital or analogue scale o For digital, we use the smallest digit displayed as our least count as shown in Equation 2 o For Analogue we use the smallest digit divided by 2 as we can still determine in-between the lines for an analogue scale as seen in Equation 1 o Repeat for all apparatus provided Input the data obtained into the lab module table Second experiment: • Take the provided vernier calliper and micrometer • Calibrate the micrometer using the given tool • Calculate the dimensions of the materials (blocks and balls) • o For the blocks, measure 3 sides 6 times each using the vernier callipers o For the balls, measure the diameter of the ball 6 times. Input the obtained data on the lab module table 2.3 Key Equations The following equations are essential within this experiment, to analyse the resulting data and obtain the needed results: 1 (1) π₯π₯ = πΏπΆ 2 Equation 1: Shows the equation to calculate the least count of an analogue device. (2) π₯π₯ = πΏπΆ Equation 2: Shows the equation to calculate the least count of a Digital device. ππ₯ = √∑π π=1 (π₯π −π₯Μ )2 π−1 (3) Equation 3: Shows the equation for sample standard deviation ππ₯Μ = ππ₯ √π (4) 6 Equation 4: Shows the equation for mean standard error (5) π’π₯Μ = 2π‘π£,95 ππ₯Μ Equation 5: Shows the equation for expanded uncertainty (with 95% confidence) (6) π =πΏ∗π∗π» Equation 6: Shows the equation for Volume of a cube π’ 2 π’ 2 π’ 2 π’π = π ∗ √( πΏ ) + ( π) + ( π» ) πΏ π π» (7) Equation 7: Shows the equation for uncertainty of a cube’s volume [1] π= π (8) π Equation 8: Shows the equation for density 2 π’ π’ 2 π’π = π ∗ √( π ) + ( π ) π π (9) Equation 9: Shows the equation for uncertainty of density [1] 4 π = ππ 3 (10) 3 Equation 10: Shows the equation for Volume of a sphere π’ π’π = π ∗ 3 ∗ ( π ) π (11) Equation 11: Shows the equation for uncertainty of a sphere’s volume [1] πΏ= π’π₯Μ π₯Μ (12) Equation 12: : Shows the equation for relative uncertainty Key terms: Δx: Measurement uncertainty LC: Least count of the measuring instrument ππ₯ : Sample standard deviation π₯π : Individual measurement π₯Μ : Mean (average) of the measurements 7 N: Number of measurements taken ππ₯Μ : Standard uncertainty of the mean (Standard Error) π’π₯Μ : Uncertainty π‘π£,95 : t-distribution critical value for 95% confidence level π£: Degrees of freedom V: Volume L: Length W: Width H: Height Ρ; density m: mass πΏ : Relative uncertainty 8 Chapter III Result and Discussion 3.1 Result Table 2: Experiment 1 results Name of Device Least count Vernier Calliper 0.01 mm Ruler 0.25 mm Thermometer 0.05°c Thermo gun 0.1°c Triple Arm Balance 0.0005 g Voltmeter 0.1 mV Amperemeter 0.1 μA Stopwatch 0.01 s Digital Weight Scale 1g Micrometre 0.0005 mm Table 2 shows the data obtained from observation on the least count (LC) of each apparatus as per experiment 1. Using Equation 1 and 2, which dictates that a digital scale will have an LC equivalent to their smallest digit increment whilst an analogue will have LC of half of their smallest increment. Table 3: Experiment 2 - block 1 Block 1 Mass: 69.9±0.0005 gr Data # 1 Length (mm) 20 Width (mm) 19.96 Height (mm) 20.06 9 2 20 19.98 20.04 3 20 20 20 4 20 20 20.06 5 20 20 20.04 6 20 20.02 20.04 ππ₯ 0 0.021 0.022 ππ₯Μ 0 0.008 0.009 π’π₯Μ 0 0.017 0.018 π₯Μ Length: 20 Width: 19.993 Height: 20.04 Table 4:Experiment 2 - block 2 Block 2 Mass: 22.679±0.0005 gr Data # Length (mm) Width (mm) Height (mm) 1 19.86 19.98 19.94 2 19.98 20 19.92 3 20.02 20.1 20 4 19.94 20.04 20.02 5 19.96 20.06 19.96 6 19.98 19.98 20 10 ππ₯ 0.054 0.048 0.039 ππ₯Μ 0.022 0.02 0.016 π’π₯Μ 0.044 0.04 0.032 π₯Μ Length: 19.957 Width: 20.027 Height: 19.973 Table 5:Experiment 2 - block 3 Block 3 Mass: 65.8±0.0005 gr Data # Length (mm) Width (mm) Height (mm) 1 20.02 20.2 19.86 2 20 20.1 19.92 3 20.2 20.2 19.82 4 20.1 20 19.9 5 20.2 20 19.8 6 20.1 20.06 19.82 ππ₯ 0.085 0.091 0.048 ππ₯Μ 0.035 0.037 0.02 π’π₯Μ 0.07 0.074 0.04 π₯Μ Length: 20.103 Width: 20.093 Height: 19.853 Table 6: Experiment 2 - block 4 11 Block 4 Mass: 60.39±0.0005 gr Data # Length (mm) Width (mm) Height (mm) 1 19.9 19.82 20.1 2 19.92 20.2 20.1 3 19.88 19.96 20.04 4 19.9 19.9 20.01 5 19.92 19.9 20 6 19.92 19.88 20.04 ππ₯ 0.016 0.134 0.043 ππ₯Μ 0.007 0.055 0.018 π’π₯Μ 0.013 0.109 0.035 π₯Μ Length: 19.907 Width: 19.943 Height: 20.048 Table 3,4,5,6 shows the data obtained from experiment 2 regarding measurement of box and balls. Using equations 3,4, and 5 we can complete the table in regards to its standard deviation, mean standard deviation, and the uncertainty. Adding the last data of mean, we have completed the data for tables 3, 4,5,6 which will also contain the same exact information on all of the different blocks. Table 7: Experiment 2 - Marble Marble Mass: 4.82±0.0005 gr Data # 1 Diameter (mm) Radius (mm) 15.03 7.515 12 2 15.11 7.555 3 15.125 7.5625 4 15.42 7.71 5 15.46 7.73 6 15.05 7.525 ππ₯ 0.19 0.095 ππ₯Μ 0.078 0.039 π’π₯Μ 0.155 0.078 π₯Μ Diameter: 15.199 Radius: 7.599 Table 8: Experiment 2 – Metal ball Metal Mass: 4.095±0.0005 gr Data # Diameter (mm) Radius (mm) 1 10 5.00 2 10.01 5.005 3 10.005 5.0025 4 10.005 5.0025 5 10.005 5.0025 6 10.005 5.0025 13 ππ₯ 0.003 0.002 ππ₯Μ 0.001 0.001 π’π₯Μ 0.003 0.001 π₯Μ Diameter: 10.005 Radius: 5.002 3.2 Discussion and analysis Experiment 1 In measurement, several key terms define the quality and reliability of data [2]: • Precision refers to how consistently repeated measurements align with each other. • Accuracy describes how close a measurement is to the true value. • Sensitivity indicates how responsive an instrument is to small changes in the quantity being measured. • Resolution defines the smallest detectable change an instrument can measure. • Error is the difference between the measured value and the actual value. Measurement instruments used in this experiment can be categorized into five main types based on what they measure: Length, Weight, Temperature, Time, Voltage, and Current (Ampere). Focusing on length measurement, we evaluated three instruments: the Vernier caliper, Ruler, and Micrometer. Each varies in precision, with the micrometer being the most precise. It offers an accuracy of ±0.0005 mm due to its high resolution of 0.001 mm, with it being an analog device, Using Equation 1, we can determine that the micrometer allows for more precise measurements, making it the most reliable instrument among the three for fine measurements. Experiment 2 Using equations Equation 6, 7, 8, and 9 we can calculate both the density and volume of the block whilst propagating the uncertainty generated by each of the measurement taken. Block 1 Volume = 8.015±0.01 cm³ Density = 8.723±0.011 g/cm³ Block 2 Volume = 7.983±0.027 cm³ 14 Density = 2.841±0.01 g/cm³ Block 3 Volume = 8.020±0.044 cm³ Density = 8.205±0.045 g/cm³ Block 4 Volume = 7.959±0.046 cm³ Density = 7.587±0.044 g/cm³ Using equations Equation 8, 9, 10, and 11 we can calculate both the density and volume of the spherical materials whilst propagating the uncertainty generated by each of the measurement taken. Marble Ball Volume = 1.838±0.056 cm³ Density = 2.622±0.08 g/cm³ Metal Ball Volume = 0.524±0.0004 cm³ Density = 7.809±0.006 g/cm³ Using the density data obtained it is possible to determine the materials that make up each of these 3D objects. Block 1 with 8.721±0.007 g/cm³ is close in density to nickel which has a density of 8.6 g/cm³ [3]. Following that would be Block 2 with density of 2.841±0.009 g/cm³ which is indicative of aluminium with a density of 2.7 g/cm³ [4]. Block 3 with 8.205±0.036 g/cm³ is similar to brass at 8.4 g/cm³ [5]. Lastly Block 4 with 7.587±0.029 g/cm³ indicates stainless steel at 7.5 g/cm³ [6]. Following the blocks, the materials of the balls are also identifiable with marble ball at 2.622±0.043 g/cm material being glass at 2.8 g/cm [7]. Whilst the metal ball with a density of 7.81±0.01 g/cm³ indicates mild steel at 7.85 g/cm³ [8]. 15 Chapter IV Conclusion This experiment demonstrated the fundamental principles of measurement and uncertainty analysis, emphasizing the importance of precision in experimental data. Through repeated measurements and statistical methods, the volume and density of various solid objects were determined with quantified uncertainties. The application of error propagation formulas ensured that the reported values were statistically meaningful. By comparing the calculated densities with reference materials, the composition of each object was approximated, identifying materials such as nickel, aluminium, brass, stainless steel, glass, and mild steel. The study highlighted the significance of accurate measurement techniques and proper uncertainty analysis in engineering applications, reinforcing the necessity of rigorous data validation in experimental procedures. Future improvements could include refining measurement tools and minimizing systematic errors to enhance accuracy. 16 References [1] "Uncertainty propagation," Volard Blog, Nov. 1, 2016. [Online]. Available: https://volard.wordpress.com/2016/11/01/uncertainty-propagation/. [Accessed: Mar. 6, 2025]. [2] "Basic Measurement and Uncertainty," ENGR 3311 – Instrumentation Laboratory, Experiment Module #01. [3] Nickel Institute, “Properties of Nickel,” Accessed: Mar. 6, 2025. [Online]. Available: https://nickelinstitute.org/en/nickel-applications/properties-of-nickel [4] Thyssenkrupp Materials, “Density of Aluminium,” Accessed: Mar. 6, 2025. [Online]. Available: https://www.thyssenkrupp-materials.co.uk/density-of-aluminium.html [5] KDM Fab, “Brass Density,” Accessed: Mar. 6, 2025. [Online]. Available: https://kdmfab.com/brass-density [6] Engineers Edge, “Densities of Metals and Elements Table,” Accessed: Mar. 6, 2025. [Online]. Available: https://www.engineersedge.com/materials/densities_of_metals_and_elements_table_1 3976.htm [7] LibreTexts, “Glass Density Evidence,” Accessed: Mar. 6, 2025. [Online]. Available: https://chem.libretexts.org/Ancillary_Materials/Exemplars_and_Case_Studies/Exempl ars/Forensics/Glass_Density_Evidence [8] Solitaire Overseas, “Density of Mild Steel,” Accessed: Mar. 6, 2025. [Online]. Available: https://www.solitaire-overseas.com/blog/density-of-mildsteel/#:~:text=The%20current%20density%20of%20mild%20steel%20is%207.85%2 0g%2Fcm³,What%20is%20a%20mild%20steel%3F 17
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