Method for process planning optimization with energy efficiency consideration

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• 作者：Yingjie Zhang (1)
  Liling Ge (2)
  
  1. School of Mechanical Engineering ; Xi鈥檃n Jiaotong University ; Xi鈥檃n ; Shaanxi ; People鈥檚 Republic of China
  2. School of Material Science and Engineering ; Xi鈥檃n University of Technology ; Xi鈥檃n ; Shaanxi ; People鈥檚 Republic of China
  
• 关键词：Process plan ; Volume of material removal ; Machining feature ; Energy efficiency
• 刊名：The International Journal of Advanced Manufacturing Technology
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：77
• 期：9-12
• 页码：2197-2207
• 全文大小：612 KB
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• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Production and Logistics
  Mechanical Engineering
  Computer-Aided Engineering and Design
  
• 出版者：Springer London
• ISSN：1433-3015

文摘

Due to the use of computer numerical control machines, a part can be manufactured in a variety of processing methods. The best one can be selected by using different optimization objectives, including the minimal cost, high production flexibility and energy efficiency, etc. From the point of view of reducing energy consumption, in this paper, a new process planning strategy is proposed with energy efficiency consideration. Machining features are used and attempted to automatically or semi-automatically generate feasible process plans of a part under specific circumstance. A machining feature, embedded with manufacturing information, corresponds to a piece of material volume that needs to be removed from a stock to form the part. To simplify the calculation of energy consumption of a process planning, a machine tool-oriented energy assessment approach is presented wherein the energy consumption of process planning is approximated by the total energy consumed of the machines used for comparison. Furthermore, the energy consumption of a machine is approximately estimated according to its material removal rate (MRR). After that, the best process plan can be determined by trading off between the energy consumption and other technique constraints. Finally, a test example is given to validate the proposed approach.