Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/4770
Title: DESIGN OPTIMIZATION OF A HOLLOW SHAFT THROUGH MATLAB AND SIMULATION USING ANSYS
Authors: Rejula Mercy, J
Elizabeth Amudhini Stephen, S
Rebecca Jebaseeli Edna, K
Keywords: ANSYS
hollow shaft
Non-Traditional Optimization
weight minimization
Issue Date: Jun-2022
Publisher: Techno-Press
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.
URI: https://doi.org/10.12989/csm.2022.11.3.259
Appears in Collections:2.Article (73)

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