A novel approach to CNC machining center processing parameters optimization considering energy-saving and low-cost |
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| Affiliation: | 1. School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 55800, China;2. Key Laboratory of Automotive Power Train and Electronics, Hubei University of Automotive Technology, Shiyan 442002, China;3. School of Machinery and Automation, Wuhan University of Science and Technology, Hubei 430081, China;4. MRC-University of Glasgow, University of Glasgow, Glasgow G12 8QB, UK;5. School of Management, China West Normal University, Nanchong 637002, China;1. Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;2. State Key Lab of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China;1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, PR China;2. Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA;1. Department of Industrial Engineering, Shandong University of Science and Technology, Qingdao 266590, China;2. State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China;3. College of Engineering and Technology, Southwest University, Chongqing 400715, China;4. Department of Industrial Engineering & Engineering Management, Western New England University, Springfield, MA 01119, USA;5. School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China;1. College of Engineering and Technology, Southwest University, Chongqing, 400715, China;2. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, 400044, China;3. College of Mechanical Engineering, Chongqing Three Gorges University, Chongqing, 404130, China;4. Environmental & Ecological Engineering, Purdue University, IN 47906, USA |
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| Abstract: | NC machining is currently a machining method widely used in mechanical manufacturing systems. Reasonable selection of process parameters can significantly reduce the processing cost and energy consumption. In order to realize the energy-saving and low-cost of CNC machining, the cutting parameters are optimized from the aspects of energy-saving and low-cost, and a process parameter optimization method of CNC machining center that takes into account both energy-saving and low -cost is proposed. The energy flow characteristics of the machining center processing system are analyzed, considering the actual constraints of machine tool performance and tool life in the machining process, a multi-objective optimization model with milling speed, feed per tooth and spindle speed as optimization variables is established, and a weight coefficient is introduced to facilitate the solution to convert it into a single objective optimization model. In order to ensure the accuracy of the model solution, a combinatorial optimization algorithm based on particle swarm optimization and NSGA-II is proposed to solve the model. Finally, take plane milling as an example to verify the feasibility of this method. The experimental results show that the multi-objective optimization model is feasible and effective, and it can effectively help operators to balance the energy consumption and processing cost at the same time, so as to achieve the goal of energy conservation and low-cost. In addition, the combinatorial optimization algorithm is compared with the NSGA-II, the results show that the combinatorial optimization algorithm has better performance in solving speed and optimization accuracy. |
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| Keywords: | Machining center Energy saving Processing parameters Multi-objective optimization Combinatorial optimization algorithm |
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