[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.12989/csm.2022.11.3.259

Design optimization of a hollow shaft through MATLAB and simulation using ANSYS

Mercy, J. Rejula (Department of Mathematics, Karunya Institute of Technology and Sciences)
Stephen, S. Elizabeth Amudhini (Department of Mathematics, Karunya Institute of Technology and Sciences)
Edna, K. Rebecca Jebaseeli (Department of Mathematics, Karunya Institute of Technology and Sciences)

Publication Information

Coupled systems mechanics / v.11, no.3, 2022 , pp. 259-266 More about this Journal

Abstract

Non-Traditional Optimization methods are successfully used in solving many engineering problems. Shaft is one of important element of machines and it is used to transmit power from a machine which produces power to a machine which absorbs power. In this paper, ten non-traditional optimization methods that are ALO, GWO, DA, FPA, FA, WOA, CSO, PSO, BA and GSA are used to find minimum weight of hollow shaft to get global optimal solution. The problem has two design variables and two inequality constraints. The comparative results show that the Particle Swarm Optimization outperforms other methods and the results are validated using ANSYS.

Keywords

ANSYS; hollow shaft; Non-Traditional Optimization; weight minimization;

Citations & Related Records

Reference

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