TY - GEN
T1 - A new model for predicting power consumption of machining processes
T2 - 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
AU - Meng, Leilei
AU - Zhou, Mengchu
AU - Zhang, Chaoyong
AU - Tian, Guangdong
N1 - Funding Information:
This work is supported by the Funds for International Cooperation and Exchange of the National Natural Science Foundation of China (No.51561125002, 51405075), the National Natural Science Foundation of China (No. 71571075, 51575211), and the Fundamental Research Funds for the Central Universities (HUST: 2014TS038).
Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/14
Y1 - 2016/11/14
N2 - Nowadays, discrete manufacturing enterprises are forced to reduce energy consumption owing to high energy cost, growing production demands, and environmental problems. An accurate energy consumption model is needed urgently to achieve this goal. In this paper, a new model based on empirical modeling and experiments is proposed to estimate energy consumption for machining processes. Experimental results show that the new model can make more accurate prediction of energy consumption in comparison with existing models. The new model is of great value to enterprises to develop energy-efficient optimization strategies.
AB - Nowadays, discrete manufacturing enterprises are forced to reduce energy consumption owing to high energy cost, growing production demands, and environmental problems. An accurate energy consumption model is needed urgently to achieve this goal. In this paper, a new model based on empirical modeling and experiments is proposed to estimate energy consumption for machining processes. Experimental results show that the new model can make more accurate prediction of energy consumption in comparison with existing models. The new model is of great value to enterprises to develop energy-efficient optimization strategies.
KW - Energy consumption model
KW - green production
KW - machining process
KW - manufacturing process
UR - http://www.scopus.com/inward/record.url?scp=85000899983&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85000899983&partnerID=8YFLogxK
U2 - 10.1109/COASE.2016.7743556
DO - 10.1109/COASE.2016.7743556
M3 - Conference contribution
AN - SCOPUS:85000899983
T3 - IEEE International Conference on Automation Science and Engineering
SP - 1289
EP - 1294
BT - 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
PB - IEEE Computer Society
Y2 - 21 August 2016 through 24 August 2016
ER -