Trade Study Shaft Design and Flywheel Dimensioning Kyle Becker Pedal Pure 10/12/06 Abstract The purpose of this report is to optimize the flywheel and dimension the shaft used in Pedal Pure’s human-powered water still. Flywheel equations derived from conservation of energy principles are used in conjunction with design parameters and constraints to yield an optimization diagram indicating the flywheel should be a disk with diameter 0.15 m and thickness 0.013 m. Principles of static equilibrium are used in parallel with the Distortion Energy Theory to show the shaft must be at least 0.108 m in diameter to avoid both large deformations and failure. These results have a direct and instant impact on both the design and progression of Pedal Pure’s concept; the feasibility of their design is reinforced by this study and the results presented will assist them in component purchasing and selection. Introduction Pedal Pure is designing a human-powered water still. The current concept calls for a rotating shaft to transfer power between the rear wheel of a bicycle and a generator. A flywheel will be mounted to this shaft to minimize variations in shaft acceleration. The purpose of this study is twofold; to determine the minimum shaft Figure 1: Two dimensional representation of shaft configuration diameter needed to withstand the proposed loading and also to optimize the flywheel geometry (see Figure 2) within given design constraints. The results of this study will have a direct and immediate impact on Pedal Pure’s design. When selecting a shaft from a supplier, the diameter recommended by this study will serve as the minimum allowable design Figure 2: Flywheel geometry 1 dimension; further, they should attempt to purchase a flywheel with dimensions as close to those optimized by this study. The set-up to be analyzed is shown in Figure 1. Sources and Methods The methods used in this study are largely based on information presented in Chapter 11 of Fundamentals of Machine Elements. Two sections of this text provide step-by-step problem solving approaches for shafts and flywheels used in configurations similar to Pedal Pure’s design. Several assumptions are made in both the text and this report. Most significantly, the mass of the shaft is neglected. While this simplification introduces some error into the final value, the margin of this error is small and will be compensated for by the built-in factor of safety. Secondly, the actual system has been idealized in several ways; axial loading is neglected; it is assumed that the bearings and shaft are perfectly aligned and concentric, and it is assumed that the flywheel is a perfect cylinder. These assumptions have been introduced to simplify the model for analysis and introduce only minor errors into the final value. The only limitation on information pertains to the generation of the torque diagram, as it was very difficult to determine at which points during the pedaling cycle energy is drawn from the flywheel. Several riders were videotaped and polled in order to determine at which points the rider is unable to provide power to the shaft (see Appendix for torque diagram.). The flywheel geometry must first be optimized and then the minimum required shaft diameter can be found. In dimensioning the flywheel, both its diameter and composition are considered design variable (see Table 1), but the group has already decided to fabricate the flywheel from a cylindrical piece of medium carbon steel. Solving for the flywheel geometry consists of applying conservation of energy principles to link the design parameters and state variables. 2 Design Variables diameter material Design Parameters torque cycle coefficient of fluctuation angular velocity of shaft State Variables mass mass moment of inertia thickness KE per torque cycle Constraints thickness < 10 cm diameter < 15 cm Table 1: Design Parameters and Variable for Flywheel Design The designer can then select a diameter such that all constraints are met. As there are an infinite number of diameters that satisfy the governing equations, the particular design instantiation with the most merit must be selected. In this case the best flywheel is the one with the least mass that does not exceed either constraint. The first step in designing the shaft is to use static equilibrium to determine all forces and moments acting on the shaft. From these forces, bending moment diagrams are constructed and used to identify the maximum moment in the shaft. The Distortion Energy Theory (DET) is then applied to determine the smallest diameter at which failure will being to occur. The following table identifies important parameters and variables associated with designing the shaft. Determining the diameter with the most merit is simple; as Pedal Pure does not want to over-design their shaft, the best shaft is the one with the smallest diameter that will not fail or deform excessively. Thus, two constraints are imposed on the shaft; it cannot fail and should not have excessive deformations. Diameters that satisfy the DET will meet both criteria. Design Variables Design Parameters diameter geometry (position of supports, loads etc.) State Variables coefficient of friction between tire and shaft material mass deflection torque applied to shaft loads applied to shaft Constraints e > Sy / ns [Von Mises stress > yield stress / factor of safety] as satisfied by DET minimal deformation Table 2: Design Parameters and Variables for Shaft Design 3 Results The plot to the right is the 16 14 flywheel optimization diagram. It provides all the information needed to appropriately select the flywheel geometry. The solid curve plots flywheel thickness [cm] 12 10 5 kg 8 4 kg 6 3 kg 2 kg 4 thickness as a function of diameter. The 1 kg 2 vertical lines with arrows indicate 0 8 10 geometrical constraints imposed by the design configuration. The dotted lines are 12 14 16 flywheel diameter [cm] 18 20 Figure 3: Flywheel optimization tool constant-mass curves. The design instantiation with the most merit is the rightmost allowable point on the solid curve (denoted by the x). This point corresponds to the lightest acceptable flywheel that will fit in Pedal Pures’s design. The flywheel dimensions and corresponding mass are: Diameter = 0.15 m Thickness = 0.0127 m Mass = 1.76 kg The three-dimensional free body diagram of the shaft is shown below. Applying force and moment equilibrium to the shaft yields the following forces (see Appendix for specific calculations): Fay Faz Fby Fbz 101.0 N 114.9 N 101.0 N 104.5 N Table 3: Bearing support forces acting on the shaft Figure 4: 3-D shaft geometry and forces 4 The shear and bending moment diagrams can then be generated for both the XZ and XY planes (See Appendix). From the moment diagrams the maximum moment was found to be 21.80 Nm. Using the shaft torque (T) of 1.0 Nm, the DET yields a minimum shaft diameter of: dshaft > 0.108 m Discussion As illustrated by the results sections, all goals of this study were met; the flywheel was dimensioned and the minimum shaft diameter was specified. Appropriate simplifications were made to the shaft-flywheel system, as suggested in Fundamentals of Machine Elements. These assumptions facilitated the development of the analytical tools used to determine the geometry of both components. The tool for the flywheel, shown in Figure 3, worked exactly as planned. As expected this plot showed an inverse relationship between diameter and thickness. The ideal flywheel would be a ring with all its mass at its outer edge. As Pedal Pure’s design and manufacturing capabilities do not allow this shape, a large diameter disk with a thin profile is the next best solution. Increasing the allowable diameter would further reduce the flywheel’s mass, but at 13 mm thick, it is already sufficiently thin. Simplifications applied to the shaft allowed the DET to be used to identify shaft’s minimum required diameter. The only issue in using this technique was selecting the factor of safety. While Pedal Pure does not want this shaft to fail, they also wish to avoid any overdesign. As failure of this shaft does not pose any immediate health or safety risks, a safety factor of 2.0 was chosen. A shaft with diameter greater than 0.108 m will provide Pedal Pure with a component that will not fail or deform excessively under the given loading conditions. 5 While no experiments were performed to validate the analytical tools used and developed in this report, the values determined were compared with existing designs in the marketplace. Windstream power uses a 3.6 kg flywheel while a product called the PedalPusher employs a 1.5 kg flywheel; both values are in agreement with the recommended mass of 1.76 kg. (Windstream uses a larger mass because their product is designed to output a very smoother electrical signal.) Shaft diameters for similar products could not be found, but Pedal Pure will be constructing a prototype to validate both recommendations made in this study. Moreover, the tools developed in this report were verified by comparison with known solutions. These solutions were generated by hand. These results have an immediate and positive impact on Pedal Pure’s design. This analysis not only verifies the feasibility of their design, but also provides the group with concrete values upon which to make further design and purchasing decisions. Both the minimum required shaft diameter and optimal flywheel have been identified for their human-powered water still. Sources 1. Hamrock, Schmid and Jacobson. Fundamentals of Machine Elements. Boston: McGraw-Hill. 1999. 2. http://hypertextbook.com/facts/2005/steel.shtml 3. www.windstreampower.com 4. http://www.los-gatos.ca.us/davidbu/pedgen.html 6 Appendix Sizing Flywheel Governing Equations: Torque power max KE (T T l avg )d min Im Im KE 2 C f avg 32 d 4 t h Specific Design Values: Coefficient of Fluctuation (Cf) = 0.002 (1) Power = 140 W ω = 1750 RPM 7 MatLab Code: clear all; % Size the Flywheel Power = 140; % motor power (W) RPM = 1750; % generater RPM Wavg = RPM * (2*pi)/60; % generater ang vel (rad/s) Tmotor = Power / Wavg; % torque applied to motor shaft (N*m) delta = (pi/6); Cf = 0.002; rho = 7850; % torque diagram interval (rad) % coefficient of fluctuation % density of flywheel (kg/m^3) Tavg = (delta/pi)*(Tmotor); % avg torque (N*m) KE = (Tmotor - Tavg)*delta; dia = 0.08 : .005 : 0.2; x = length(dia); for i = 1:x th(i) = (32*KE) / (Cf*pi*rho*(Wavg^2)*(dia(i)^4)); end % calc thickness as a fcn of diameter plot(dia*100,th*100,'r') hold on; %grid on; xlabel('flywheel diameter [cm]'); ylabel('flywheel thickness [cm]'); for M = 1:5 % add constant mass lines to previous plot for i = 1:x thm(i,M) = (4*M) / (rho*pi*dia(i)^2); end plot(dia*100,thm(:,M)*100,'k:') end df = input('Enter flywheel diameter in cm: ')/100; % chosen flywheel diameter (m) thf = (32*KE) / (Cf*pi*rho*(Wavg^2)*(df^4)); % corresponding flywheel thickness (m) Mf = 0.25*pi*thf*rho*df^2; % corresponding flywheel mass (kg) 8 Shaft Diameter Governing Equations: Torque F * r * N * d 2 M 0 F 0 32n s d S y 3 M2 T2 4 1 3 Specific Design Values: coefficient of static friction (μ) = 0.7 torque = 1.0 N*m factor of safety (ns) = 2.0 (2) 9 10 11 Matlab Code: mu = 0.7; Tb = 1.0; dsa = 0.01; % tire/shaft coeff of static friction % max torque transfer between shaft and tire (N*m) % assumed shaft diameter (m) N = (2*Tb)/(mu*dsa); % normal force between tire and shaft (N) theta = (pi/4); % angle between tire and shaft % shaft geometrical constants (m) a = 0.06; b = 0.15; c = 0.30; g = 9.81; % acceleration due to gravity (m/s^2) Fbz = (g*Mf*a + N*sin(theta)*b) / c Faz = g*Mf + N*sin(theta) - Fbz Fby = (N*cos(theta)*b) / c Fay = N*cos(theta) - Fby % from summing moments about y axis % from force equilibrium in z direction % from summing moments about z axis % from force equilibrium in y direction % The following formulae apply becuase the max moment and torque always % occur at x = L/2 Mxz = Fbz*(c-b); Mxy = Fby*(c-b); Mmax = (Mxz^2 + Mxy^2)^0.5; Tmax = Tb; ns = 2; % shaft factor of safty Sy = 350*10^6; % yield strength of shaft material (Pa) ds = [[(32*ns)/(pi*Sy)] * (Mmax^2 + 0.75*Tmax^2)^0.5 ]^(1/3); % calculated shaft diameter (m) 12