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 language | English (US) |
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Pages (from-to) | 529-534 |
Number of pages | 6 |
Journal | Procedia CIRP |
Volume | 61 |
DOIs | |
State | Published - 2017 |
Event | 24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017 - Kamakura, Japan Duration: Mar 8 2017 → Mar 10 2017 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Industrial and Manufacturing Engineering