摘要
基于人工神经网络(ANN)技术,采用MATLAB作为开发平台,建立了激光熔覆参数与熔覆层特征及性能之间的关系模型。模型以激光功率、扫描速度、光斑直径、涂层成分配比作为输入参数,以熔覆层硬度、熔覆层宽度和高度作为输出参数,对熔覆层的特征与性能进行了预测。结果表明,该模型的平均误差较小,网络训练后检验精度较高,具有较好的预测能力。该模型能够用于预测铝合金表面激光熔覆层的特征与性能。
Based on the artificial neural network （ANN）, a model is established to describe the laser cladding parameters and the characteristic and performance of laser cladding layers. The characteristic and performance of laser cladding layers are predicted with the model in which the input parameters consist of laser power, scanning velocity, laser spot diameter, and coating proportion and the output parameters include the clad hardness, the clad width, and the clad height. The results show that the mean error is small, and the model has good verifying precision and excellent ability of predicting. The model can basically forecast the characteristic and performance of laser cladding layers.
出处
《中国激光》
EI
CAS
CSCD
北大核心
2008年第10期1632-1636,共5页
Chinese Journal of Lasers
关键词
激光技术
激光熔覆
铝合金
人工神经网络
熔覆层
laser technique
laser cladding
aluminum alloy
artificial neural network
cladding layer
