Multi-objective parameter optimization of multi-pass CNC machining

Xingzheng Chen, Ying Tang, Congbo Li, Qian Yi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In a multi-pass milling process, energy consumption is highly dependent of the choice of cutting parameters for each pass and the total number of passes. This paper first analyzes the energy consumption of multi-pass CNC milling, based on which a multi-objective optimization model is proposed to maximize energy efficiency and minimize production cost. A case study is then carried out to explore the difference of the proposed multi-objective optimization and mono-objective ones (i.e., either maximum energy efficiency or minimum cost).

Original languageEnglish (US)
Title of host publication2015 IEEE Conference on Automation Science and Engineering
Subtitle of host publicationAutomation for a Sustainable Future, CASE 2015
PublisherIEEE Computer Society
Pages45-50
Number of pages6
ISBN (Electronic)9781467381833
DOIs
StatePublished - Oct 7 2015
Event11th IEEE International Conference on Automation Science and Engineering, CASE 2015 - Gothenburg, Sweden
Duration: Aug 24 2015Aug 28 2015

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2015-October
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Other

Other11th IEEE International Conference on Automation Science and Engineering, CASE 2015
Country/TerritorySweden
CityGothenburg
Period8/24/158/28/15

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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