A grey wolf optimizer approach for optimal weight design problem of the spur gear. Issue 6 (3rd June 2019)

• Record Type: Journal Article
• Authors: Dörterler, Murat; Şahin, İsmail; Gökçe, Harun
• Is Part Of: Engineering optimization. Volume 51:Issue 6(2019)
• Page Start: 1013
• Page End: 1027
• Publication Date: 2019-06-03
• Subjects: Spur gear -- grey wolf optimizer -- engineering optimization -- meta-heuristic; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2018.1509963
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: The weight of gears is an important issue for high performance of the machine elements. Thus, the design of the gear pairs with respect to the minimum weight is an important and attractive subject to study. Various analytical and heuristic approaches were utilized to optimize the weight of gears in previous studies. In this study, the problem of gear optimization as per the minimum weight was solved with Grey Wolf Optimizer (GWO). GWO is a meta-heuristic optimization method that stands out with its successful performance in engineering applications. In this study, the performance of GWO was investigated in the case of constituting a spur gear with respect to minimum weight for the first time. Compared with the previous studies, the results obtained in the study show that it is possible to design a lighter gear with GWO.