Research on A Tolerance Design Method of Dimensional Chain for Controllable Assembly and Cost Reduction
This article presents a tolerance design method for dimensional chains based on the Monte Carlo method and the genetic algorithm to achieve controllable assembly and cost reduction.It is found that the assembly success rate will approach the qualified limit to the extreme after cost reduction,which can lead to two problems:(1)after repeated sampling,the value distribution of the assembly success rate is around the qualified limit,with a large number of unqualified values;(2)the optimal individual of each generation in the genetic algorithm cannot be saved for a long time,resulting in low optimization efficiency.This article adopts the second sampling Monte Carlo method to take into account the sampling fluctuation of assembly success rate,effectively solving the above two problems.
tolerance designgenetic algorithmmonte carlo methoddimensional chainassemblycost reduction
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