标题:Experimental study on energy consumption of computer numerical control machine tools
作者:Lv, Jingxiang; Tang, Renzhong; Jia, Shun; Liu, Ying
作者机构:[Lv, Jingxiang; Tang, Renzhong; Jia, Shun] Zhejiang Univ, Ind Engn Ctr, Zhejiang Prov Key Lab Adv Mfg Technol, Hangzhou 310027, Zhejiang, Peoples R Ch 更多
通讯作者:Tang, Renzhong
通讯作者地址:[Tang, RZ]Zhejiang Univ, Ind Engn Ctr, Zhejiang Prov Key Lab Adv Mfg Technol, Hangzhou 310027, Zhejiang, Peoples R China.
来源:JOURNAL OF CLEANER PRODUCTION
出版年:2016
卷:112
页码:3864-3874
DOI:10.1016/j.jclepro.2015.07.040
关键词:Energy consumption; Non-cutting motions; Material removal; Computer; numerical control machine tools
摘要: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. (C) 2015 Elsevier Ltd. All rights reserved.
收录类别:EI;SCIE
WOS核心被引频次:17
资源类型:期刊论文
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