Computer-Aided Design
Computer-aided design of a two-stage gearbox
Advances in Engineering Software
A solution method for optimal weight design problem of the gear using genetic algorithms
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
Evolutionary Design by Computers with CDrom
Evolutionary Design by Computers with CDrom
A genetic approach to automate preliminary design of gear drives
Computers and Industrial Engineering
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The full description of a two-stage speed reducer generally requires a large number of design variables (typically, well over ten), resulting a very large and heavily constrained design space. This paper presents the specific case of the complete automated optimal design with Genetic Algorithms of a two-stage helical coaxial speed reducer. The objective function (i.e. the mass of the entire speed reducer) was described by a set of 17 mixed design variables (i.e. integer, discrete and real) and also was subjected to 76 highly non-linear constraints. It can be observed that the proposed Genetic Algorithm offers better design solutions as compared with the results obtained by using the traditional design method (i.e. a commonly trial and cut error).