Document Type
Article
Version Deposited
Published Version
Publication Date
1-1-2017
Publication Title
Procedia CIRP
DOI
10.1016/j.procir.2016.11.188
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.
Recommended Citation
Wei, L., Li, C., Tang, Y., & Yi, Q. (2017). Multi-objective Tool Sequence Optimization in 2.5D Pocket CNC Milling for Minimizing Energy Consumption and Machining Cost. Procedia CIRP, 61, 529-534.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Comments
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.