Influence factors and operational strategies for energy efficiency improvement of CNC machining

被引:52
作者
Li, Lingling [1 ]
Li, Congbo [1 ]
Tang, Ying [2 ]
Yi, Qian [1 ]
机构
[1] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China
[2] Rowan Univ, Dept Elect & Comp Engn, Glassboro, NJ 08028 USA
基金
中国国家自然科学基金;
关键词
CNC machining; Energy efficiency; Influence factors; Operational strategy; MINIMIZING POWER-CONSUMPTION; MULTIOBJECTIVE GENETIC ALGORITHM; TOTAL WEIGHTED TARDINESS; RESPONSE-SURFACE METHOD; CUTTING PARAMETERS; OPTIMIZATION ALGORITHM; JOB-SHOP; SCHEDULING PROBLEM; SYSTEMS; TAGUCHI;
D O I
10.1016/j.jclepro.2017.05.084
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
CNC machining is one of the major activities in the manufacturing industry which is responsible for a significant portion of the total consumed energy. However, the energy efficiency of CNC machining is surprisingly low. It is important to provide valuable insights for practitioners to enhance energy efficiency of CNC machining. This paper analyzes the energy consumption characteristics of CNC machining process and exploits the influence factors for energy efficiency improvement through a theoretical analysis. A series of operational strategies for energy efficiency improvement of CNC machining are presented through a review and research framework. The future research directions are identified and summarized for more energy savings. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:220 / 238
页数:19
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