摘要
为制备高质量的熔覆层,保证再制造机械零部件再服役寿命,提出了一种响应面法与粒子群算法集成的激光熔覆工艺参数优化方法。该方法以熔覆层质量为优化目标,以工艺参数为优化变量,基于实验结果构建工艺参数与熔覆层质量间的响应面近似数学模型,使用粒子群算法对优化问题进行求解得到最优工艺参数组合。最后通过激光多道熔覆实验进行验证,结果表明该方法优化后的工艺参数能够有效改善熔覆层质量,进而节约实验成本、提高生产效率。
In order to prepare high-quality cladding layers and ensure the re-service life of remanufactured mechanical parts,a processing parameters optimization method in laser cladding by integrating response surface methodology and particle swarm optimization is proposed.The method takes the quality of the cladding layer as the optimization goal,and takes the processing parameters as the optimization variables,and the response surface approximate model between the process parameters and the quality of cladding layer according to the experimental results is built,and the particle swarm algorithm is used to obtain the optimal processing parameters combination.Finally,it was verified with the laser multi-pass cladding experiments.The results show that the optimized processing parameters of this method can effectively improve the quality of the cladding layer,thereby saving experimental costs and improving production efficiency.
作者
胡言峰
杜彦斌
许磊
周志杰
舒林森
HU Yanfeng;DU Yanbin;XU Lei;ZHOU Zhijie;SHU Linsen(Chongqing Key Laboratory of Manufacturing Equipment Mechanism Design and Control,Chongqing Technology and Business University,Chongqing 400067,China;Shaanxi Key Laboratory of Industrial Automation,Shaanxi University of Technology,Hanzhong 723001,Shaanxi,China)
出处
《机械科学与技术》
CSCD
北大核心
2023年第4期629-637,共9页
Mechanical Science and Technology for Aerospace Engineering
基金
国家自然科学基金项目(51775071)
重庆市自然科学基金联合基金重点项目(CSTB2022NSCQ-LZX0011)
重庆市高校创新研究群体项目(CXQT21024)
重庆英才计划“包干制项目”(cstc2022ycjh-bgzxm0056)及重庆英才计划(CQYC20210302226)。
关键词
激光熔覆
工艺参数
熔覆层质量
响应面法
粒子群算法
laser cladding
processing parameters
cladding layer quality
response surface methodology
particle swarm optimization
