Process Route Optimization for Generalized Energy Efficiency and Production Time in Machining System

Ying Tang, Qingshan Yang, Congbo Li, Qinge Xiao, Xingzheng Chen

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

3 Scopus citations

Abstract

Total consumption of direct electric energy and average embodied energy of cutters and cutting fluid as well as other auxiliary resource consumed in machining a part are defined as generalized energy consumption. In this paper, a process route optimization model oriented for improvement of generalized energy efficiency and production time is proposed. The selection of machining sequence, machine tools, cutting tools, tool access direction and processing parameters in process route is optimized through a SA-QPSO hybrid algorithm. Results indicate that the balance between generalized energy efficiency and machining time is achieved and detailed analysis of process route influence on these two objectives is given afterwards.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Service Operations and Logistics, and Informatics 2019, SOLI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages110-115
Number of pages6
ISBN (Electronic)9781728128535
DOIs
StatePublished - Nov 2019
Event2019 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2019 - Zhengzhou, China
Duration: Nov 6 2019Nov 7 2019

Publication series

NameProceedings - IEEE International Conference on Service Operations and Logistics, and Informatics 2019, SOLI 2019

Conference

Conference2019 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2019
Country/TerritoryChina
CityZhengzhou
Period11/6/1911/7/19

All Science Journal Classification (ASJC) codes

  • Management Science and Operations Research
  • Strategy and Management
  • Artificial Intelligence
  • Information Systems
  • Information Systems and Management

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