数值模拟驱动的激光透射焊接PET与304L不锈钢的优化研究  

Numerical Simulation-Driven Optimization of Laser Transmission Welding Process Between PET and 304LStainless Steel

作　　者：陈浩[1] 王霄[1] 刘会霞[1] 李品[1] 黄创[1] 赵振关 严长[1] 

机构地区：[1]江苏大学机械工程学院,江苏镇江212013

出　　处：《中国激光》2014年第4期83-91,共9页Chinese Journal of Lasers

基　　金：国家自然科学基金(51275219);江苏省光子制造科学与技术重点实验室开放基金(GZ 201105)

摘　　要：生物医学领域中的生物植入体必须使用具有生物相容性的材料进行连接以适应人体内复杂的生物、物理和化学环境。激光透射焊接(LTW)是解决生物医用材料之间连接的一种新方法。由于利用实验方式获得生物医用材料的最佳焊接工艺参数时间长、成本高,因此提出一种数值模拟驱动实验设计、工艺参数建模与优化的方法,对激光透射焊接生物医用材料进行了系统的研究。首先利用有限元模型(FEM)对焊接过程中的温度场进行模拟,并用焊接实验对模拟结果进行验证;然后利用FEM的模拟结果进行实验设计,用人工神经元网络(ANN)建立工艺参数和焊接结果之间的数学模型,并用FEM的模拟结果对此数学模型的预测结果进行验证;最后采用满意度函数(DF)与遗传算法(NSGA-II)相结合的方法,对工艺参数进行多目标优化,并对优化结果进行验证。结果表明:优化的预测结果、实验结果、模拟结果之间均取得了较好的一致性,此方法为有效指导生物医学领域中的焊接实验、提高焊接质量和降低生产成本开辟了新途径。In the biomedical field, the implants need to be welded with biocompatible materials to adapt different environments in the human body. Laser transmission welding （LTW） is a new method which can be used to connect biomedical materials. However, using the experimental way to get the optimum process parameters of biomedical materials is a time-consuming and high cost project. A numerical simulation--driven experiment design modeling and optimization approach is presented. The LTW of biomedical materials is systematically investigated. Firstly, finite element modeling （FEM） is used to simulate the LTW process and the simulated results is confirmed with welding experiments. Then, an experiment design based on the FEM results is conducted and the artificial neural network （ANN） is used to establish the mathematical models between the process parameters and welding results. The predicted results of the ANN models are tested by FEM. Finally, desirability function （DF） integrated with developed non-dominating sorting genetic algorithm-II （NSGA-II） is used to carry out the multi-objective optimization of the process parameters. It demonstrates that the predicted results of the optimization are in good agreement with the simulated results and experimental results each other, so this approach provides a new way to guide the welding exoeriments, enhance the welding quality and reduce production cost in the biomedical sector.

关 键 词：激光技术 生物医用材料 激光透射焊接 数值模拟 人工神经元网络 遗传算法 工艺参数 多目标优化 

分 类 号：TG456.7[金属学及工艺—焊接]