TY - GEN
T1 - Integration of process planning and cutting parameter optimization for energy-aware CNC machining
AU - Li, Lingling
AU - Li, Congbo
AU - Tang, Ying
AU - Li, Li
N1 - Funding Information:
Manuscript received March 15, 2017. This work was supported in part by the National Natural Science Foundation of China (No.51475059) and the Green Manufacturing System Integration Program of China (No.2016-61).
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - This paper presents an integrated approach of process planning and cutting parameter optimization for energy-aware CNC machining. Firstly, the energy characteristics of machining process are explicitly analyzed by considering multiple process flexibilities and the cutting parameters. Then a multi-objective integration model is proposed to achieve minimum energy consumption and balance of machine workloads, which is solved based by a Multi-objective Simulated Annealing algorithm. Finally, a case study is presented to demonstrate the performance of the proposed multi-objective integration problem.
AB - This paper presents an integrated approach of process planning and cutting parameter optimization for energy-aware CNC machining. Firstly, the energy characteristics of machining process are explicitly analyzed by considering multiple process flexibilities and the cutting parameters. Then a multi-objective integration model is proposed to achieve minimum energy consumption and balance of machine workloads, which is solved based by a Multi-objective Simulated Annealing algorithm. Finally, a case study is presented to demonstrate the performance of the proposed multi-objective integration problem.
UR - http://www.scopus.com/inward/record.url?scp=85044943514&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044943514&partnerID=8YFLogxK
U2 - 10.1109/COASE.2017.8256112
DO - 10.1109/COASE.2017.8256112
M3 - Conference contribution
AN - SCOPUS:85044943514
T3 - IEEE International Conference on Automation Science and Engineering
SP - 263
EP - 268
BT - 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
PB - IEEE Computer Society
T2 - 13th IEEE Conference on Automation Science and Engineering, CASE 2017
Y2 - 20 August 2017 through 23 August 2017
ER -