激光熔覆修复技术参数模拟优化分析

为提升激光熔覆修复技术的性能,提出激光熔覆修复技术参数模拟优化方法。通过分析激光熔覆技术工作原理及类型,确定激光熔覆修复技术参数。确定激光熔覆修复技术参数,引入BP神经网络方法,构建熔覆层形貌和激光熔覆修复参数之间的模型预测。采用粒子群优化算法,优化构建的激光熔覆修复参数预测模型,实现激光熔覆修复技术参数模拟优化。仿真结果表明:采用本方法对激光熔覆修复技术参数进行优化后,激光熔覆修复的效果较为理想,明显提高了激光熔覆修复技术的工作效率。

Simulation and optimization analysis of the parameters of laser cladding repair technique

This paper proses a simulation optimization of laser-cladding repair technology parameters to improve the performance of laser cladding repair technology.By analysing the working principle and types of laser cladding technology,laser cladding repair technical parameters are determined.The laser cladding repair technology parameters are determined,and the BP neural network method is introduced to build the model prediction between cladding morphology and laser cladding repair parameters.Particle swarm optimization(PSO)algorithm is used to optimize the prediction model of laser cladding repair parameters,and the simulation optimization of laser cladding repair technical parameters is realized.The simulation results show that laser cladding repair is better comparing with the past.The efficiency of laser cladding repair is improved obviously after laser cladding repair technology parameters are optimized.