Article
Selection of optimum parameters in multi-pass face milling for maximum energy efficiency and minimum production cost
Journal of Cleaner Production
(2017)
Abstract
In a multi-pass face milling process, cutting parameters for each pass and the total number of passes dramatically affect the electrical energy consumption and production cost of the final product. In this paper, the electrical energy consumption characteristics of multi-pass face milling are firstly analyzed. Then a multi-objective parameter optimization model for maximizing energy efficiency and minimizing production cost is proposed and solved by the Adaptive Multi-objective Particle Swarm Optimization algorithm. Finally, a case study is carried out to validate the proposed model and search for the trade-off solutions between maximum energy efficiency and minimum production cost. From the results of the case study, significant interaction effects between cutting parameters and number of passes are revealed. Moreover, it also can be found that the traditional multi-pass parameter optimization for minimizing production cost does not necessarily satisfy the maximum energy efficiency criterion. Simultaneously optimizing the cutting parameters of each pass and the total number of passes achieves a trade-off between maximum energy efficiency and minimum production cost. Based on the work presented in this paper, manufacturers can easily improve energy efficiency and reduce production cost in the multi-pass face milling process.
Keywords
- Energy efficiency,
- Multi-pass,
- Parameter optimization,
- Face milling
Disciplines
Publication Date
January 1, 2017
DOI
10.1016/j.jclepro.2016.07.086
Citation Information
Congbo Li, Xingzheng Chen, Ying Tang and Li Li. "Selection of optimum parameters in multi-pass face milling for maximum energy efficiency and minimum production cost" Journal of Cleaner Production Vol. 140 (2017) p. 1805 - 1818 Available at: http://works.bepress.com/ying-tang/4/