Multi-objective Tool Sequence Optimization in 2.5D Pocket CNC Milling for Minimizing Energy Consumption and Machining Cost

Lei Wu, Congbo Li, Ying Tang, Qian Yi

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)529-534
Number of pages6
JournalProcedia CIRP
Volume61
DOIs
StatePublished - Jan 1 2017
Event24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017 - Kamakura, Japan
Duration: Mar 8 2017Mar 10 2017

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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