Optimization of CNC machine processing parameters for low carbon manufacturing

Qian Yi, Ying Tang, Congbo Li, Pengyu Li

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

6 Scopus citations

Abstract

This paper investigates the process parameter optimization problem of a CNC machine for low carbon manufacturing. In particular, an optimization model, which considers the constraints of spindle speed, force rate, cutting force, power of cutting machine and quality of work piece, is developed with the objectives of minimizing both carbon emissions and processing time. The fast non-dominating Genetic Algorithm (GA) is then used to derive the optimal solution. Finally, the validity of this model is demonstrated through a case study.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
Pages498-503
Number of pages6
DOIs
Publication statusPublished - Dec 1 2013
Event2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 - Madison, WI, United States
Duration: Aug 17 2013Aug 20 2013

Publication series

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

Other

Other2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
CountryUnited States
CityMadison, WI
Period8/17/138/20/13

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Yi, Q., Tang, Y., Li, C., & Li, P. (2013). Optimization of CNC machine processing parameters for low carbon manufacturing. In 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 (pp. 498-503). [6654011] (IEEE International Conference on Automation Science and Engineering). https://doi.org/10.1109/CoASE.2013.6654011