Multiobjective optimization of processing parameters in longitudinal-torsion ultrasonic assisted milling of Ti-6Al-4V

Multiobjective optimization of processing parameters in longitudinal-torsion ultrasonic assisted milling of Ti-6Al-4V

In order to solve the problems of high cost and low efficiency in milling of titanium alloy, multiobjective optimizations are proposed to optimize machining and ultrasonic parameters by nondominated sorting genetic algorithm II (NSGA-II). In the present work, longitudinal-torsion ultrasonic vibration has been superimposed to the milling of titanium alloy (Ti-6Al-4V). Orthogonal experiment of milling has been carried out to evaluate influence of the parameters on machining results. Then, to meet the different engineering demands, three multiobjective optimization models are established to obtain optimization parameters. According to the optimization results, a group of milling verified experiments was developed for optimized models. The results show that the three optimization models balance the different objective well, and the optimization results are close to experiment results. It provides choices for engineering application.

为解决钛合金铣削加工成本高、效率低的问题，提出采用非支配排序遗传算法II（NSGA - II）对加工参数和超声参数进行多目标优化。在本研究中，将纵扭超声振动应用于钛合金（Ti - 6Al - 4V）铣削加工。通过铣削正交试验评估各参数对加工结果的影响。然后，为满足不同的工程需求，建立了三个多目标优化模型以获取优化参数。根据优化结果，针对优化模型开展了一组铣削验证实验。结果表明，三个优化模型很好地平衡了不同目标，且优化结果与实验结果相近，为工程应用提供了选择。