Lv, J., Tang, R., Jia, S. and Liu, Y. (2016) Experimental study on energy consumption of computer numerical control machine tools. Journal of Cleaner Production, 112, pp. 3864-3874. (doi: 10.1016/j.jclepro.2015.07.040)
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145041.pdf - Accepted Version 1MB |
Abstract
Machining processes are responsible for substantial environmental impacts due to their great energy consumption. Accurately characterizing the energy consumption of machining processes is a starting point to increase manufacturing energy efficiency and reduce their associated environmental impacts. The energy calculation of machining processes depends on the availability of energy supply data of machine tools. However, the energy supply can vary greatly among different types of machine tools so that it is difficult to obtain the energy data theoretically. The aim of this research was to investigate the energy characteristics and obtain the power models of computer numerical control (CNC) machine tools through an experimental study. Four CNC lathes, two CNC milling machines and one machining center were selected for experiments. Power consumption of non-cutting motions and material removal was measured and compared for the selected machine tools. Here, non-cutting motions include standby, cutting fluid spraying, spindle rotation and feeding operations of machine tools. Material removal includes turning and milling. Results show that the power consumption of non-cutting motions and milling is dependent on machine tools while the power consumption of turning is almost independent from the machine tools. The results imply that the energy saving potential of machining processes is tremendous.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Liu, Dr Ying |
| Authors: | Lv, J., Tang, R., Jia, S., and Liu, Y. |
| College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
| Journal Name: | Journal of Cleaner Production |
| Publisher: | Elsevier |
| ISSN: | 0959-6526 |
| ISSN (Online): | 1879-1786 |
| Published Online: | 17 July 2015 |
| Copyright Holders: | Copyright © 2015 Elsevier Ltd. |
| First Published: | First published in Journal of Cleaner Production 112: 3864-3874 |
| Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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