Ovidiu BUIGA, Simion HARAGÂŞ


The full description of the gearings corresponding on a 2 stage coaxial helical speed reducer generally requires a large number of design variables (typically, well over ten), resulting a very large and heavily constrained design space. Considering these we propose a Genetic Algorithm (in a formulation that can be extended to include additional stages or different layouts) to solve this complex gearings design problem. The objective is the minimization of the volume bounded by the inner surface of the speed reducer housing. It can be observed that the proposed optimal design with GAs has the potential to yield considerably better solutions than the traditional design.

Key words: Automated optimal design, Genetic Algorithms, 2 stage coaxial helical speed reducer gearings

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