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

• Published in: International journal of advanced manufacturing technology Vol. 93; no. 9-12; pp. 4345 - 4356
• Main Authors: Niu, Ying, Jiao, Feng, Zhao, Bo, Wang, Dong
• Format: Journal Article
• Language: English
• Published: London Springer London 01.12.2017; Springer Nature B.V
• Subjects: CAE) and Design; Classification; Classifying; Computer-Aided Engineering (CAD; Engineering; Genetic algorithms; Group dynamics; Industrial and Production Engineering; Machining; Mathematical models; Mathematical programming; Mechanical Engineering; Media Management; Milling (machining); Multiple objective analysis; Optimization; Original Article; Process parameters; Sorting algorithms; Titanium alloys; Titanium base alloys; Torsion; Ultrasonic vibration; NSGA-II; Ti-6Al-4V; Multiobjective optimization; Longitudinal-torsion ultrasonic vibration
• ISSN: 0268-3768; 1433-3015
• DOI: 10.1007/s00170-017-0871-3

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.