Multi-objective parameter optimization of CNC machining for low carbon manufacturing

Qian Yi, Congbo Li, Ying Tang, Xingzheng Chen

Research output: Contribution to journalArticlepeer-review

90 Scopus citations

Abstract

Low carbon manufacturing is of growing importance due to the severity of energy shortage and increasing energy costs, as well as a series of environmental problems, i.e., climate change and global warming. This paper investigates the potential of process parameter optimization to minimize carbon emissions during machine processing. A process model of CNC machining is first presented to scope the system boundaries for energy footprint and process efficiency. A multi-objective optimization model is then proposed to explore the impact of cutting speed and feed rate on carbon emissions and processing time. The benefit of the approach is illustrated through a case study of a CNC cylindrical turning process.

Original languageEnglish (US)
Pages (from-to)256-264
Number of pages9
JournalJournal of Cleaner Production
Volume95
DOIs
StatePublished - May 15 2015

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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