Author:
Wei Xuetao,Yue Caixu,Hu Desheng,Liu Xianli,Ding Yunpeng,Liang Steven Y.
Abstract
AbstractThe processed surface contour shape is extracted with the finite element simulation software. The difference value of contour shape change is used as the parameters of balancing surface roughness to construct finite element model of supersonic vibration milling in cutting stability domain. The surface roughness trial scheme is designed in the orthogonal test design method to analyze the surface roughness test result in the response surface methodology. The surface roughness prediction model is established and optimized. Finally, the surface roughness finite element simulation prediction model is verified by experiments. The research results show that, compared with the experiment results, the error range of the finite element simulation model is 27.5%–30.9%, and the error range of the empirical model obtained by the response surface method is between 4.4% and 12.3%. So, the model in this paper is accurate and will provide the theoretical basis for the optimization study of the auxiliary milling process of supersonic vibration.
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference23 articles.
1. D Biermann, P Kersting, T Surman. A general approach to simulating work- piece vibrations during five-axis milling of turbine blades. CIRP Annals. Manufacturing Technology, 2010, 59: 125-128.
2. J J Wang, C L Zhang, P F Feng, et al. A model for prediction of subsurface damage in rotary ultrasonic face milling of optical K9 glass. The International Journal of Advanced Manufacturing Technology, 2016, 83: 1-4.
3. X H Shen, J H Zhang, Xing D L. Ultrasonic vibration milling kinematics and its influence on cutting force. Journal of Shenyang University of Technology, 2012, 34(5): 530-535.
4. Alfredo Suárez, Fernando Veiga, Luis N, et al. Effects of ultrasonics-assisted face milling on surface integrity and fatigue life of Ni-Alloy 718. Springer US, 2016, 25: 5076-5086.
5. François Ducobu, Pedro-José Arrazola, Edouard Rivière-Lorphèvre. Finite element prediction of the tool wear influence in Ti6Al4V machining. Procedia CIRP, 2015, 31: 124-129.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献