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A Dynamic Multi-Swarm Particle Swarm Optimizer for Multi-Objective Optimization of Machining Operations Considering Efficiency and Energy Consumption

by Lijun Song 1,2, Jing Shi 2,*, Anda Pan 1, Jie Yang 1 and Jun Xie 3
1
Department of Industrial Engineering, Chongqing University of Technology, Chongqing 400054, China
2
Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, OH 45221, USA
3
Chongqing Key Laboratory of Manufacturing Equipment Mechanism Design and Control, Chongqing Technology and Business University, Chongqing 400067, China
*
Author to whom correspondence should be addressed.
Energies 2020, 13(10), 2616; https://doi.org/10.3390/en13102616
Received: 21 April 2020 / Revised: 14 May 2020 / Accepted: 18 May 2020 / Published: 21 May 2020
Facing energy shortage and severe environmental pollution, manufacturing companies need to urgently energy consumption, make rational use of resources and improve economic benefits. This paper formulates a multi-objective optimization model for lathe turning operations which aims to simultaneously minimize energy consumption, machining cost and cutting time. A dynamic multi-swarm particle swarm optimizer (DMS-PSO) is proposed to solve the formulation. A case study is provided to illustrate the effectiveness of the proposed algorithm. The results show that the DMS-PSO approach can ensure good convergence and diversity of the solution set. Additionally, the optimal machining parameters are identified by fuzzy comprehensive evaluation (FCE) and compared with empirical parameters. It is discovered that the optimal parameters obtained from the proposed algorithm outperform the empirical parameters in all three objectives. The research findings shed new light on energy conservation of machining operations. View Full-Text
Keywords: energy efficiency; machining operation; multi-objective optimization; fuzzy comprehensive evaluation; particle swarm optimizer energy efficiency; machining operation; multi-objective optimization; fuzzy comprehensive evaluation; particle swarm optimizer
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Song, L.; Shi, J.; Pan, A.; Yang, J.; Xie, J. A Dynamic Multi-Swarm Particle Swarm Optimizer for Multi-Objective Optimization of Machining Operations Considering Efficiency and Energy Consumption. Energies 2020, 13, 2616.

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