An improved method of parameter and tolerance concurrent design considering the mass loss

Abstract

Quality and cost are the core problems in the manufacturing industry. Given the problems of many tests and high manufacturing costs caused by parameter design before tolerance design in the traditional Taguchi product optimization design, based on the idea of robust design and concurrent design, this paper establishes an improved method of parameter and tolerance concurrent design considering quality loss, which effectively saves the manufacturing cost while ensuring the product quality. Firstly, the central composite bounded experimental design (CCI) is carried out, and then the response surface model is established from the data; Then the total cost model composed of the quality loss model and tolerance cost model is established. Finally, the improved genetic algorithm (NSGA - II) is used to find the optimal parameter combination and tolerance at the same time. Through the example analysis of a compliant precision positioning platform, the results show that the parameter combination and tolerance obtained by concurrent design considering the parameters and tolerance of mass loss not only improve the robustness of products but also reduce the manufacturing cost.