Energy-efficient multi-pass turning operation using multi-objective backtracking search algorithm

JOURNAL OF CLEANER PRODUCTION

卷:137

Article

Lu, Chao¹  Gao, Liang¹  Li, Xinyu¹  Chen, Peng¹ 

[1] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, State Key Lab Digital Mfg Equipment & Technol, Wuhan, Peoples R China

关键词: Multi-objective evolutionary algorithm;    Energy consumption;    Parameter optimization;    Backtracking search algorithm;   

DOI  :  10.1016/j.jclepro.2016.07.029

来源: Elsevier

【 摘 要 】

Energy savings have become an essential consideration in sustainable manufacturing projects due to the associated environmental impacts and constraints on carbon emissions. In the past, machining operations primarily examined technological consideration (e.g., machining quality) and neglected energy consumption. Therefore, this paper investigates an energy-efficient multi-pass turning operation problem and establishes a multi-objective multi-pass turning operations model. Energy consumption and machining quality are both considered in this problem. Although several models of this problem have considered these criteria, the objectives are usually combined into a single objective using a weighted sum approach, which results in poor non-dominated solutions. To obtain high quality trade-offs between the two challenging objectives, a novel multi-objective backtracking search algorithm is proposed to solve this multi-objective optimization problem. To verify the feasibility and validity of the proposed algorithm, it is compared with other classical multi-objective metaheuristics on multi-objective multi pass turning operations. This study's experimental results demonstrate that the proposed algorithm significantly outperforms other algorithms for this optimization problem, which is a significant result regarding practical application. (C) 2016 Elsevier Ltd. All rights reserved.

【 授权许可】

Free