Optimization of module, shaft diameter and rolling bearing for spur gear through genetic algorithm

Authors:
Faruk Mendi;Tamer Başkal;Kurtuluş Boran;Fatih Emre Boran
Affiliations:
Gazi University, Technical Education Faculty, Mechanical Education Department, 06500 Teknikokullar, Ankara, Turkey;Abant Izzet Baysal University, Vocation of Higher Education, Machine Section, Gerede, Bolu, Turkey;Gazi University, Technical Education Faculty, Mechanical Education Department, 06500 Teknikokullar, Ankara, Turkey;Gazi University, Institute of Science and Technology, Industrial Engineering Department, 06570 Ankara, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

Citing 1
Cited 1

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Expert Systems with Applications: An International Journal

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Abstract

In this study, the dimensional optimization of motion and force transmitting components of a gearbox is performed by genetic algorithm (GA). It is aimed to obtain the optimal dimensions for gearbox shaft, gear and the optimal rolling bearing. GA is a non-conventional useful search technique. In genetic algorithm, the best results can be obtained within the solution space which is formed by the design constraints. With the optimization of the gearbox components, the design with smallest volume which can carry the system load is obtained. The results obtained by GA optimization are compared to those obtained by analytical methods. These obtained results indicate that GA can be used reliably in machine element design problems.