Genetic algorithms in statistical tolerancing |
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Authors: | A Shan R N Roth R J Wilson |
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Institution: | Department of Mechanical Engineering The University of Queensland Qld, 4072, Australia;Department of Mathematics The University of Queensland Qld, 4072, Australia |
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Abstract: | An important aspect in manufacturing design is the distribution of geometrical tolerances so that an assembly functions with given probability, while minimising the manufacturing cost. This requires a complex search over a multidimensional domain, much of which leads to infeasible solutions and which can have many local minima. As well, Monte-Carlo methods are often required to determine the probability that the assembly functions as designed. This paper describes a genetic algorithm for carrying out this search and successfully applies it to two specific mechanical designs, enabling comparisons of a new statistical tolerancing design method with existing methods. |
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Keywords: | Author Keywords: Manufacturing Statistical tolerance analysis Genetic algorithms Optimisation Expected cost Simulation |
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