Advances in Manufacturing ›› 2021, Vol. 9 ›› Issue (2): 216-234.doi: 10.1007/s40436-021-00349-y

Previous Articles     Next Articles

Multi-verse optimizer based parameters decision with considering tool life in dry hobbing process

Heng-Xin Ni1, Chun-Ping Yan1, Shen-Fu Ni2, Huan Shu1, Yu Zhang1   

  1. 1 State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, People's Republic of China;
    2 Hefei Meiya Photoelectric Technology Co. Ltd, Hefei 230088, People's Republic of China
  • Received:2020-10-11 Revised:2020-11-20 Online:2021-06-25 Published:2021-05-24
  • Contact: Chun-Ping Yan E-mail:ycp@cqu.edu.cn
  • Supported by:
    This work was supported by the Key Projects of Strategic Scientific and Technological Innovation Cooperation of National Key Research and Development Program of China (Grant No. 2020YFE0201000).

Abstract: Dry hobbing has received extensive attention for its environmentally friendly processing pattern. Due to the absence of lubricants, hobbing process is highly dependent on process parameters combination since using unreasonable parameters tends to affect the machining performance. Besides, the consideration of tool life is frequently ignored in gear hobbing. Thus, to settle the above issues, a multi-objective parameters decision approach considering tool life is developed. Firstly, detailed quantitative analysis between process parameters and hobbing performance, i.e., machining time, production cost and tool life is introduced. Secondly, a multi-objective parameters decision-making model is constructed in search for optimum cutting parameters (cutting velocity v, axial feed rate fa) and hob parameters (hob diameter d0, threads z0). Thirdly, a novel algorithm named multi-objective multi-verse optimizer (MOMVO) is utilized to solve the presented model. A case study is exhibited to show the feasibility and reliability of the proposed approach. The results reveal that (i) a balance can be achieved among machining time, production cost and tool life via appropriate process parameters determination; (ii) optimizing cutting parameters and hob parameters simultaneously contributes to optimal objectives; (iii) considering tool life provides usage precautions support and process parameters guidance for practical machining.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-021-00349-y

Key words: Process parameters, Decision-making, Tool life, Dry hobbing, Multi-objective multi-verse optimizer (MOMVO)