MOGA-Based Optimization Design of Core Portion of Press-Fit Assembly Machine in Car Radiator

Abstract

For the overweight of automatic car radiator core assembly machine crimping part, the structure was optimized and designed based on ANSYS Workbench to satisfy the double objective about reducing weight and decreasing the impact of the amount of deformation of the core assembly components. Multi-objective genetic algorithm was carried out to search the Pareto optimal solution set for optimal and design problems. It shows that the weight of crimping part reduces by 5.34% compared with the previous part, the assembly flatness of core reduces by 13.43%, and the total deformation affecting mainboard press-fit and positional accuracy of the flared reduces by 6.89%, which all meet the requirements of multi-objective optimization design.