TY - GEN
T1 - Optimization of CNC machine processing parameters for low carbon manufacturing
AU - Yi, Qian
AU - Tang, Ying
AU - Li, Congbo
AU - Li, Pengyu
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84891503192&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84891503192&partnerID=8YFLogxK
U2 - 10.1109/CoASE.2013.6654011
DO - 10.1109/CoASE.2013.6654011
M3 - Conference contribution
AN - SCOPUS:84891503192
SN - 9781479915156
T3 - IEEE International Conference on Automation Science and Engineering
SP - 498
EP - 503
BT - 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
T2 - 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
Y2 - 17 August 2013 through 20 August 2013
ER -