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dc.contributor.authorMercy, J R-
dc.contributor.authorStephen, S E A-
dc.contributor.authorEdna, K R J-
dc.date.accessioned2023-08-18T12:00:57Z-
dc.date.available2023-08-18T12:00:57Z-
dc.date.issued2022-
dc.identifier.issn22342184-
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85133509786&doi=10.12989%2fcsm.2022.11.3.259&origin=inward&txGid=01cc6a2466212d1b443f39975b6bd4eb-
dc.description.abstractNon-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.en_US
dc.language.isoen_USen_US
dc.publisherTechno-Pressen_US
dc.subjectAnsysen_US
dc.subjectHollow shaften_US
dc.subjectNon-traditional optimizationen_US
dc.subjectWeight minimizationen_US
dc.titleDESIGN OPTIMIZATION OF A HOLLOW SHAFT THROUGH MATLAB AND SIMULATION USING ANSYSen_US
dc.typeArticleen_US
Appears in Collections:National Journals

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