Shape optimization of flywheel used in agricultural thresher

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Publication date: 13 August 2022

Abstract: This research paper presents the procedure for shape optimization of flywheel used in an agricultural thresher machine using a cubic B-spline curve and the Jaya algorithm. The flywheel is an essential element for storing kinetic energy in modern machines. Shape optimization of the flywheel was carried out using a cubic B-spline curve to maximize the kinetic energy of the flywheel subjected to constraints of mass of flywheel and permissible value of Von-Mises stress in a flywheel. The B-spline curve was used as it gives local control and is not restricted by control points. The control points of the B-spline are considered design variables. The Von-Mises stresses at all points in the flywheel are determined by solving two-point boundary value differential equations using the finite difference method. Finally, the optimization problem was solved using the Jaya algorithm. These results are then compared with results obtained using other nature-inspired algorithms like a genetic algorithm (GA), and particle swarm optimization (PSO), and it is found that the Jaya algorithm gives better results. This project is based on the research paper optimal design of the flywheel using nature-inspired optimization algorithms (Prem Singh, Himanshu Choudhary) which applied GA, PSO, and Jaya algorithms.

Has companion code repository: https://github.com/prafull-bhosale/Flywheel_Shape_Optim

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