Low-carbon Modeling and Process Parameter Optimization for Laser Cleaning Process

doi:10.3901/JME.2023.07.276

Abstract

Abstract: Laser cleaning is the application of pulsed laser beam high energy impact to remove contaminants from the surface of the substrate which has been widely used in the aerospace, offshore and other areas of high-end equipment operation and maintenance. Due to the long cleaning process time, high heat of the laser beam and incomplete conversion of electrical energy, large amounts of carbon emissions are generated in the laser cleaning process. Thus, this paper proposes a low-carbon-oriented laser cleaning process parameters optimization method with multi-objective. Firstly, the carbon emission characteristics of laser cleaning process and the influence of process parameters on carbon emission are explored, and the carbon emission model of laser cleaning process is established. Secondly, the multi-objective process parameter optimization model of laser cleaning process with the best cleaning quality and the lowest carbon emission is formulated, and a novel good point set and co-evolutionary framework multi-objective evolutionary algorithm is proposed to solve the model which overcome the shortcomings of the basic evolutionary algorithm in solving such problems, such as poor initial solution quality, poor population diversity due to the difficulty of balancing constraints and objectives in small feasible domains, and easy to fall into local optimal. Then, the improved GRA and TOPSIS method is introduced to obtain the best combination of process parameters. Finally, laser cleaning experiments are conducted on the QZ2425 laser cleaning equipment, the results show that: the proposed optimization method can effectively reduce the laser cleaning process carbon emissions and improve cleaning quality.

Key words: laser cleaning, low-carbon modeling, process parameters, multi-objective optimization, coevolutionary constrained multi-objective optimization

CLC Number:

TG156

LIU Weijun, SUO Yingqi, JIANG Xingyu, TIAN Zhiqiang, ZHANG Dong, YANG Guozhe, WANG Hongyue, HAN Qingbing. Low-carbon Modeling and Process Parameter Optimization for Laser Cleaning Process[J]. Journal of Mechanical Engineering, 2023, 59(7): 276-294.

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