四川轻化工大学学报（自然科学版）2025，Vol.38Issue(5)：22-28,7.DOI:10.11863/j.suse.2025.05.03
激光熔覆智能算法及优化的研究进展
Research Progress on Intelligent Algorithm and Optimization of Laser Cladding
摘要
Abstract
As an advanced surface modification technology,laser cladding has been widely applied in aerospace,automotive manufacturing,energy,and related fields.The quality of laser cladding layers is closely related to process parameters.With the continuous development of intelligent algorithms and experimental design methods,various optimization techniques have been progressively implemented in optimizing laser cladding process parameters.This paper reviews the current applications of intelligent optimization algorithms such as genetic algorithms,particle swarm optimization,and ant colony optimization,based on domestic and international research progress in this field.It focuses on discussing the research advancements of hybrid algorithms like PSO-BP neural networks and GA-BP neural networks in process parameter optimization,while comparing the advantages and disadvantages of different methods from three dimensions:optimization effectiveness,applicability,and efficiency.Finally,based on the above analysis,the paper provides prospects for future research directions.关键词
激光熔覆/工艺参数/智能算法/优化方法/研究进展Key words
laser cladding/process parameters/intelligent algorithm/optimization method/research progress分类
金属材料引用本文复制引用
汪玉春,胡光忠,谢文玲,李轩,李辉..激光熔覆智能算法及优化的研究进展[J].四川轻化工大学学报（自然科学版）,2025,38(5):22-28,7.基金项目
四川省科技厅重点研发项目(2022YFSY0036) （2022YFSY0036）
机械结构优化及材料应用泸州市重点实验室项目(SCHYZSB-2024-05) （SCHYZSB-2024-05）
智能制造泸州市重点实验室开放基金项目(ZZ202409) （ZZ202409）
四川轻化工大学过控实验中心基金项目(GK202302) （GK202302）
