Experimental study on energy consumption of computer numerical control machine tools

Experimental study on energy consumption of computer numerical control machine tools
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DOI:
10.1016/j.jclepro.2015.07.040
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发表时间:
2016-01-20
影响因子:
11.1
通讯作者:
Liu, Ying
Liu, Ying
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Lv, Jingxiang;Tang, Renzhong;Liu, Ying

文献摘要

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机械加工过程由于其巨大的能源消耗而对环境造成重大影响。准确描述加工过程的能耗是提高制造能效和减少相关环境影响的起点。加工过程的能量计算取决于机床的能量供应数据的可用性。然而,不同类型的机床之间的能量供应可能会有很大差异,因此很难从理论上获得能量数据。摘要本研究旨在借由实验研究探讨电脑数位控制(CNC)机床之能量特性,并获得其功率模型。实验选用了四台数控车床、两台数控铣床和一台加工中心。非切削运动和材料去除的功耗进行了测量和比较所选的机床。这里,非切削运动包括机床的待机、切削液喷射、主轴旋转和进给操作。材料去除包括车削和铣削。结果表明,非切削运动和铣削加工的功率消耗主要取决于机床,而车削加工的功率消耗几乎与机床无关。结果表明,机械加工过程的节能潜力是巨大的。(C)2015爱思唯尔有限公司版权所有。
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.