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

doi:10.1016/j.procir.2016.11.188

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

Electrical Engineering

Research output: Contribution to journal › Conference article › peer-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 language	English (US)
Pages (from-to)	529-534
Number of pages	6
Journal	Procedia CIRP
Volume	61
DOIs	https://doi.org/10.1016/j.procir.2016.11.188
State	Published - Jan 1 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

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10.1016/j.procir.2016.11.188

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

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.",

author = "Lei Wu and Congbo Li and Ying Tang and Qian Yi",

year = "2017",

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journal = "Procedia CIRP",

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note = "24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017 ; Conference date: 08-03-2017 Through 10-03-2017",

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T1 - Multi-objective Tool Sequence Optimization in 2.5D Pocket CNC Milling for Minimizing Energy Consumption and Machining Cost

AU - Wu, Lei

AU - Li, Congbo

AU - Tang, Ying

AU - Yi, Qian

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

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DO - 10.1016/j.procir.2016.11.188

M3 - Conference article

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VL - 61

SP - 529

EP - 534

JO - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

T2 - 24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017

Y2 - 8 March 2017 through 10 March 2017

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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