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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 Artificial Neural Network (ANN) technology and using MATLAB as the development platform, a model of the relationship between laser cladding parameters and the characteristics and properties of cladding layer was established. The laser power, scanning speed, spot diameter and coating composition ratio were used as input parameters in the model. The characteristics and properties of the cladding layer were predicted by taking the cladding hardness, cladding width and height as the output parameters. The results show that the average error of the model is small, the accuracy of the network training is high, and it has good prediction ability. The model can be used to predict the characteristics and properties of laser cladding on aluminum alloy surface.