Article
Multi-objective Tool Sequence Optimization in 2.5D Pocket CNC Milling for Minimizing Energy Consumption and Machining Cost
Procedia CIRP
(2017)
Abstract
Tool sequence selection is an important task for 2.5D pocket milling and has a significant influence on both the energy consumption and machining cost of the final product. In this paper, the influence of tool sequence on energy consumption is firstly analyzed. Then a multi-objective tool sequence optimization model is proposed with the objective of minimizing energy consumption and machining cost and solved by the graph algorithm. Finally, a case study is carried out to validate the proposed model and search for the trade-off solutions between energy consumption and machining cost.
Keywords
- tool sequence optimization,
- energy consumption,
- CNC milling
Disciplines
Publication Date
January 1, 2017
DOI
10.1016/j.procir.2016.11.188
Publisher Statement
This refereed Elsevier journal contains the proceedings of College International pour la Recherche en Productique (C I R P) / International Academy for Production Engineering.
Volume 61, which is Open Access, is a special issue on the 24th CIRP Conference on Life Cycle Engineering, edited by Shozo Takata, Yasushi Umeda, and Shinsuke Kondo.
Citation Information
Lei Wu, Congbo Li, Ying Tang and Qian Yi. "Multi-objective Tool Sequence Optimization in 2.5D Pocket CNC Milling for Minimizing Energy Consumption and Machining Cost" Procedia CIRP Vol. 61 (2017) p. 529 - 534 Available at: http://works.bepress.com/ying-tang/6/