基于支持向量机的焊缝尺寸预测

焊缝尺寸是决定焊接接头强度及有关性能的重要因素,因此也是焊接质量控制的重要内容.分别以焊接电流、电弧电压以及焊接速度作为输入向量构造样本集,建立CO2焊接焊缝尺寸支持向量机模型,分别运用线性核函数,多项式核函数、高斯径向基核函数以及指数径向基核函数对焊缝熔宽、焊缝熔深以及焊缝余高进行预测.结果表明,采用指数径向基核函数所建立的支持向量机模型可以有效地对焊缝尺寸进行预测,为进一步实现焊缝质量的在线控制提供依据.

Bead geometry prediction based on SVM

Bead geometry is one of the important factors of the joint strength and related properties,and is also one of the important contents of welding quality control.Support vector machine(SVM)model of CO_2 welding bead geometry prediction was established by using welding current,arc voltage and welding speed as network inputs.Bead width,bead penetration depth and bead height were predicted by using linear kernel function,polynomial kernel function,radial basis kernel function and exponential radial kernel function.The results show that the bead geometry can be effectively predicted by using SVM model of exponential radial kernel function.The prediction model can provide the basis for on-line control of welding quality.