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

12 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 - 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

Access to Document

10.1016/j.procir.2016.11.188

Cite this

@article{ed302501d22a4d42b888ae662699e45c,

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",

note = "Publisher Copyright: {\textcopyright} 2017 The Authors.; 24th CIRP Conference on Life Cycle Engineering, CIRP LCE 2017 ; Conference date: 08-03-2017 Through 10-03-2017",

year = "2017",

doi = "10.1016/j.procir.2016.11.188",

language = "English (US)",

volume = "61",

pages = "529--534",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Elsevier B.V.",

}

TY - JOUR

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

Y1 - 2017

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.

UR - http://www.scopus.com/inward/record.url?scp=85020027224&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85020027224&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2016.11.188

DO - 10.1016/j.procir.2016.11.188

M3 - Conference article

AN - SCOPUS:85020027224

SN - 2212-8271

VL - 61

SP - 529

EP - 534

JO - Procedia CIRP

JF - Procedia CIRP

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

Access to Document

Other files and links

Fingerprint

Cite this