摘要
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。
A new model for optimizing the product assembly precision was put forward to solve the issue of the accuracy and efficiency problems in assembly precision optimization. The tolerance of component was restricted by the soft and hard bound, and the trim size was simulated by using Monte Carlo to calculate the assembly precision and the success rate which compose the evaluation index of each precision design project together with the cost of processing. The optimization objective was identified by fuzzy comprehensive evaluation. Using the genetic simulated annealing, the assembly precision design result closed to the best solution was obtained in the area of assembly precision distribution and assembly precision optimization in the product design stage. Finally an example proves that the assembly accuracy of the product is improved significantly, while the processing cost increases a little.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2009年第15期4616-4620,4624,共6页
Journal of System Simulation
基金
国家自然科学基金项目(50475162)
关键词
装配精度优化
评价指标
软硬约束
遗传算法
assembly precision optimize
evaluation indicators
soft and hard bound
genetic algorithm
