Online on-board optimization of cutting parameter for energy efficient CNC milling

被引：18
作者：
Tapoglou, Nikolaos [1 ]
Mehnen, Jorn [1 ]
Butans, Jevgenijs [1 ]
Morar, Nicolau Iralal [1 ]
机构：
[1] Cranfield Univ, Mfg Dept, EPSRC Ctr Innovat Mfg Through Life Engn Serv, Cranfield MK43 0AL, Beds, England
来源：
13TH GLOBAL CONFERENCE ON SUSTAINABLE MANUFACTURING - DECOUPLING GROWTH FROM RESOURCE USE | 2016年 / 40卷
关键词：
Energy efficiency; Optimization; Computer numerical control (CNC); Sustainable machining; CONSUMPTION; SYSTEM; IMPACT;
D O I：
10.1016/j.procir.2016.01.072
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Energy efficiency is one of the main drivers for achieving sustainable manufacturing. Advances in machine tool design have reduced the energy consumption of such equipment, but still machine tools remain one of the most energy demanding equipment in a workshop. This study presents a novel approach aimed to improve the energy efficiency of machine tools through the online optimization of cutting conditions. The study is based on an industrial CNC controller with smart algorithms optimizing the cutting parameters to reduce the overall machining time while at the same time minimizing the peak energy consumption. (C) 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of International Scientific Committee of the 13th Global Conference on Sustainable Manufacturing
引用
收藏
页码：384 / 389
页数：6
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