Optimization of CNC machine processing parameters for low carbon manufacturing

Author

Qian Yi ; Ying Tang ; Congbo Li ; Pengyu Li

Author_Institution

State Key Lab. of Mech. Transm., Chonqing Univ., Chongqing, China

fYear

2013

fDate

17-20 Aug. 2013

Firstpage

498

Lastpage

503

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.

Keywords

air pollution control; computerised numerical control; cutting; cutting tools; genetic algorithms; machine tool spindles; machining; product quality; production engineering computing; CNC machine processing parameter optimization; GA; carbon emission minimization; cutting force constraint; cutting machine power constraint; force rate constraint; low-carbon manufacturing; nondominating genetic algorithm; optimal solution; processing time minimization; spindle speed constraint; work piece quality constraint; Carbon dioxide; Computer numerical control; Lubricants; Machining; Mathematical model; Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation Science and Engineering (CASE), 2013 IEEE International Conference on

Conference_Location

Madison, WI

ISSN

2161-8070

Type

conf

DOI

10.1109/CoASE.2013.6654011

Filename

6654011