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针对目前装配精度优化中存在的准确性和效率问题,提出了一种新的产品装配精度优化模型。该模型针对软硬约束下的组成环公差,采用蒙特卡罗法模拟组成环实测尺寸值计算各组精度设计方案的装配精度及装配成功率,与加工成本一起作为各组精度设计方案的评价指标,并通过模糊综合评价方法确定优化目标。利用遗传模拟退火优化方法,可以在产品设计阶段的装配精度分配和装配精度优化方面,获得接近最优解的装配精度设计结果。应用一个实例验证了该优化模型可以在少量提高加工成本的前提下,大幅度提高产品装配精度。
Aiming at the problems of accuracy and efficiency in assembly precision optimization, a new product assembly accuracy optimization model is proposed. In this model, the assembly accuracy and assembly success rate of precision design schemes of each group were calculated by Monte-Carlo method to simulate the component ring tolerance under the constraints of hardware and software constraints, and together with the processing cost, the model was taken as the evaluation index of each group’s accuracy design scheme , And through fuzzy comprehensive evaluation method to determine the optimization goal. By using genetic simulated annealing optimization method, the assembly precision design results close to the optimal solution can be obtained in terms of assembly accuracy and assembly accuracy optimization in the product design stage. An example is used to verify that the optimization model can greatly improve the product assembly accuracy with a small increase of processing cost.