基于RSM-SA算法的激光熔覆参数多目标优化  

Multi-objective Optimization of Laser Cladding Parameters Based on RSM-SA Algorithm

作　　者：李家豪 王燕燕[1] 舒林森[1] 陈彦龙 何炜 LI Jiahao;WANG Yanyan;SHU Linsen;CHEN Yanlong;HE Wei(School of Mechanical Engineering,Shaanxi University of Technology,Hanzhong 723000,China)

机构地区：[1]陕西理工大学机械工程学院,陕西汉中723000

出　　处：《热加工工艺》2022年第22期89-93,共5页Hot Working Technology

摘　　要：为获得激光熔覆Inconel718粉末在Q690上的最佳熔覆工艺参数,设计响应面法中的BBD(Box-Benhnken Design)实验组合。构建输入变量(激光功率、扫描速度、送粉速率)与响应值(稀释率、热影响区深度、显微硬度)之间的非线性拟合关系,运用模拟退火算法进行寻优。对找到的最优工艺参数进行实验验证,并与同组试件进行响应值比较。结果表明:确定最佳工艺参数为激光功率1800 W、扫描速度17 mm/s、送粉速率2.6 r/min。最佳工艺参数下的试件热影响区深度减小了9.3%,稀释率降低了17.8%,显微硬度增大了7.2%。经实验验证,确定了一种寻找最优工艺参数的方法,对实际生产具有指导意义。In order to obtain the optimal process parameters for laser cladding of Inconel 718 powder on Q690, the experimental combination of BBD(Box-Benhnken Design) in the response surface method was designed. A nonlinear fitting relationship between the input variables(laser power, scanning speed and powder feeding rate) and the response values(dilution rate, depth of heat affected zone, microhardness) was constructed, and the optimal process parameters were determined by using the simulated annealing algorithm SA(Simulated Annealing). The optimal process parameters were experimentally verified and compared with the response values of the same group of specimens. The results show that the determined optimum process is the laser power of 1800 W, scanning speed of 17 mm/s and powder feeding rate of 2.6 r/min.The results show that the depth of the heat affected zone of the specimens under the optimal process parameters reduces by9.3%, the dilution rate reduces by 17.8% and the microhardness increases by 7.2%. After the experimental verification, a method of finding the optimal process parameters is determined, which has certain guiding significance for the actual production.

关 键 词：激光熔覆 响应面法 SA算法 多目标优化 

分 类 号：TG174.4[金属学及工艺—金属表面处理]