Prediction and optimization in mask-assisted laser transmission microjoining thermoplastic urethane and polyamide 6 through finite-element analysis, Kriging model, and genetic algorithm integrated method

作     者：Zhou, Jianzhong Zhao, Xuan Li, Jing Meng, Xiankai 

作者机构：Jiangsu Univ Sch Mech Engn Zhenjiang Jiangsu Peoples R China 

出 版 物：《OPTICAL ENGINEERING》 (光学工程)

年 卷 期：2019年第58卷第5期

页      面：056106-056106页

核心收录：

学科分类：08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 081102[工学-检测技术与自动化装置] 0811[工学-控制科学与工程] 0702[理学-物理学] 

基　　金：National Natural Science Foundation of Jiangsu Province [BK20180881] Key Research and Development Program of Jiangsu Province [BE2017001-1, BE2017001-2] Innovation Practice Fund of Jiangsu University Industrial Center [ZXJG201708] 

主　　题：laser transmission microjoining finite-element analysis Kriging model nondominated sorting genetic algorithm-II process parameter optimization 

摘      要：An integrated approach by combining finite-element analysis (FEA), Kriging model, and nondominated sorting genetic algorithm-II (NSGA-II) is utilized to realize modeling and optimization in mask-assisted laser transmission microjoining thermoplastic urethane and polyamide 6 (PA6). First, a three-dimensional FEA model is developed for obtaining the simulation data of the temperature field distribution that can determine the molten pool geometry. Then based on the initial training points generated by the optimal Latin hypercube sampling, the relationships between input parameters (laser power P, scanning speed V, and clamping force F) and weld quality [weld width (WW) and shear strength (SS)] are approximated through the Kriging model. Meanwhile, the main effects and contribution rates of various input parameters on the joint performance are discussed. Finally, the optimal weld quality is characterized as maximum SS and WW with a desired value, the NSGA-II is carried out to solve the multiobjective optimization problem for searching the Pareto-optimal front. The results of validation experiments under the optimal parameters indicate that the corresponding welding joint quality is significantly superior to that under other parameters. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE).