Multi-objective optimization of tool path considering efficiency, energy-saving and carbon-emission for free-form surface milling

被引:67
作者
Li, Li [1 ]
Deng, Xingguo [1 ]
Zhao, Junhua [1 ]
Zhao, Fu [2 ]
Sutherland, John W. [2 ]
机构
[1] Southwest Univ, Coll Engn & Technol, Chongqing 400715, Peoples R China
[2] Purdue Univ, Environm & Ecol Engn, W Lafayette, IN 47906 USA
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Tool path optimization; Machining efficiency; Energy consumption; Carbon emission; CUTTING PARAMETERS; CONSUMPTION; GENERATION; STRATEGY; MODELS;
D O I
10.1016/j.jclepro.2017.07.219
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An urgent challenge in the manufacturing industry is increasing efficiency while decreasing energy consumption and environmental impact. Past studies addressing these issues have mainly focused on tool path optimization only considering machining efficiency. In this paper, we present a methodology to optimize the tool path for high efficiency, low energy consumption and carbon footprint in milling process. Firstly, the description and influencing factors of tool path are introduced. Then, a multi objective tool path optimization model with maximum machining efficiency, minimum energy consumption and carbon emission is proposed. Furthermore, the solution of the proposed model is introduced, which including two steps, one is the calculation of the number of cutter contact points (CCP), the other is using adaptive dynamic GA to optimize the connection sequence and ways of each CCP. Finally, the effectiveness and practicability of the method are verified by the machining experiments. (C) 2017 Elsevier Ltd. All rights reserved.
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页码:3311 / 3322
页数:12
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