A new model for predicting power consumption of machining processes: A turning case
Document Type
Conference Proceeding
Publication Date
11-14-2016
Abstract
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.
Identifier
85000899983 (Scopus)
ISBN
[9781509024094]
Publication Title
IEEE International Conference on Automation Science and Engineering
External Full Text Location
https://doi.org/10.1109/COASE.2016.7743556
e-ISSN
21618089
ISSN
21618070
First Page
1289
Last Page
1294
Volume
2016-November
Grant
51405075
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Meng, Leilei; Zhou, Mengchu; Zhang, Chaoyong; and Tian, Guangdong, "A new model for predicting power consumption of machining processes: A turning case" (2016). Faculty Publications. 10161.
https://digitalcommons.njit.edu/fac_pubs/10161
