Article
Multi-objective parameter optimization of CNC machining for low carbon manufacturing
Journal of Cleaner Production
(2015)
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.
Keywords
- Processing parameters,
- Optimization,
- Carbon emissions,
- CNC machining
Disciplines
Publication Date
January 5, 2015
DOI
10.1016/j.jclepro.2015.02.076
Citation Information
Qian Yi, Congbo Li, Ying Tang and Xingzheng Chen. "Multi-objective parameter optimization of CNC machining for low carbon manufacturing" Journal of Cleaner Production Vol. 95 (2015) p. 256 - 264 Available at: http://works.bepress.com/ying-tang/16/