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Abstract：
To improve the laser cleaning surface quality of rust layers in Q390 steel, a method of determining the optimal cleaning parameters is proposed that is based on response surface methodology and the second-generation non-dominated sorting genetic algorithm (NSGA-II). It involves constructing a mathematical model of the input variables (laser power, cleaning speed, scanning speed, and repetition frequency) and the objective values (surface oxygen content, rust layer removal rate, and surface roughness). The effects of the laser cleaning process parameters on the cleaning surface quality were analyzed in our study, and accordingly, NSGA-II was used to determine the optimal process parameters. The results indicate that the optimal process parameters are as follows: a laser power of 44.99 W, cleaning speed of 174.01 mm/min, scanning speed of 3852.03 mm/s, and repetition frequency of 116 kHz. With these parameters, the surface corrosion is effectively removed, revealing a distinct metal luster and meeting the standard for surface treatment before welding.
摘要：
为提高Q390钢锈蚀层的激光清洗表面质量，提出了一种基于响应面方法和第二代非支配排序遗传算法（NSGA-II）确定最佳清洁参数的方法。它涉及构建输入变量(激光功率，清洗速度,扫描速度,和重复频率)和目标值(表面氧含量，除锈层去除率，和表面粗糙度）。分析了激光清洗工艺参数对清洗表面质量的影响,因此，NSGA-II用于确定最佳工艺参数。结果表明,最佳工艺参数为:激光功率为44.99W,清洁速度为174.01mm/min，扫描速度3852.03mm/s,和116kHz的重复频率。有了这些参数，表面腐蚀被有效去除，显露出鲜明的金属光泽，符合焊接前表面处理标准。
