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Genetic Algorithm Based Continuous-Discrete Optimization and Multi-objective Sequential Design Method for the Gear Drive Design  

Lee, Joung-Sang (한양대학교 대학원 기계설계학과)
Chong, Tae-Hyong (한양대학교 기계공학과)
Publication Information
Transactions of the Korean Society of Machine Tool Engineers / v.16, no.5, 2007 , pp. 205-210 More about this Journal
Abstract
The integration method of binary and real encoding in genetic algorithm is proposed to deal with design variables of various types in gear drive design. The method is applied to optimum design of multi-stage gear drive. Integer and Discrete type design variables represent the number of teeth and module, and continuous type design variables represent face width, helix angle and addendum modification factor etc. The proposed genetic algorithm is applied for the gear ratio optimization and the volume optimization(minimization) of multi-stage geared motor which is used in field. In result, the proposed design optimization method shows an effectiveness in optimum design process and the new design has a better results compared with the existing design.
Keywords
Gear; Optimum Design; Genetic algorithm; Design Process; Integer; Discrete and Continuous Variables;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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