Journal of South China University of Technology (Natural Science Edition) ›› 2015, Vol. 43 ›› Issue (9): 121-127.doi: 10.3969/j.issn.1000-565X.2015.09.019

• Mechanical Engineering • Previous Articles     Next Articles

Evaluation of Cutting Tool Performance of End Mills for Titanium Alloy Components

Zhao Wei  Wang Sheng-zhang  Li Liang  Yang Yin-fei   

  1. College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,Jiangsu,China
  • Received:2015-01-19 Revised:2015-04-14 Online:2015-09-25 Published:2015-09-07
  • Contact: 赵威(1977-),男,博士,副教授,主要从事难加工材料与难加工结构的高速、高性能加工技术研究. E-mail: nuaazw@nuaa.edu.cn
  • About author:赵威(1977-),男,博士,副教授,主要从事难加工材料与难加工结构的高速、高性能加工技术研究.
  • Supported by:
    Supported by the National Science and Technology Major Project of China(2012ZX04003-021)

Abstract: The machining of the titanium aircraft component is difficult to conduct in terms of material and structure,so both the structural and material matches between cutting tools and work-pieces need to be considered. At present,a systematic method to evaluate and select cutting tools used in the high-performance machining of domestic aviation manufacturing industry is highly demanded. Aiming at this issue,a testing benchmark model is constructed on the basis of existing researches in this paper,which takes into account the typical difficult-to-cut features of titanium aircraft components,and proposes two fuzzy comprehensive evaluation models of cutting tool performance of rough and finish milling on the basis of fuzzy mathematics theory. Then,by the milling experiments of the benchmark model,the proposed fuzzy comprehensive evaluation models are used to evaluate the cutting tool performance of end mills. The results show that the constructed benchmark model and the proposed fuzzy comprehensive evaluation models can be used to assess the cutting tool performance of end mills for titanium aircraft components accurately and rapidly.

Key words: titanium alloys, aircraft component, milling, cutting performance evaluation

CLC Number: