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.

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.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Published 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.

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