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A genetic algorithm based solution to optimum tolerance synthesis of mechanical assemblies with alternate manufacturing processes—benchmarking with the exhaustive search method using the Lagrange multiplier

A genetic algorithm based solution to optimum tolerance synthesis of mechanical assemblies with alternate manufacturing processes—benchmarking with the exhaustive search method using the Lagrange multiplier

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2004
Piyush Singh*
Abstract
Product development process involves tolerance specification on the individual component dimensions. The impact of tolerance specification on manufacturing cost has drawn the attention of product designers towards the economical tolerance synthesis using various optimization techniques. Simultaneous selection of manufacturing processes (machines) from among the alternatives for producing a toleranced feature has also been considered. The solution surface for such a problem becomes a combinatorial and multimodal function involving several local minima. In this paper a genetic algorithm based solution to this advanced tolerancing problem has been reported. The proposed algorithm is quite simple and straightforward and automatically takes care of the process selection constraints. The application of the new approach has been demonstrated with the help of a few case studies involving both linear and non-linear assemblies. Results obtained using this approach are almost similar to those ...

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