The process parameters of pulsed tungsten inert gas(PTIG)have a significant infuence on the forma-tion quality,mechanical properties and corrosion resistance of the weld overlay.The PTIG was utilized to deposit Incone...The process parameters of pulsed tungsten inert gas(PTIG)have a significant infuence on the forma-tion quality,mechanical properties and corrosion resistance of the weld overlay.The PTIG was utilized to deposit Inconel 625 clads with various combinations of the process parameters,which were determined by the central composite design(CCD)method.Based on the experimental results,the relationship between process parameters of PTIG and formation quality of the Inconel 625 clads was established using support vector regression(SVR)with different kernel functions,including polynomial kernel function,radial basis function(RBF)kernel function,and sigmoid kernel function.The results indicate that the kernel functions have a great influence on the prediction of height,width and dilution.The models with RBF kernel function feature the best goodness of fitting and the most accurate against the other SVR models for estimating the height and the dilution.However,the model with polynomial kernel function is superior to the other SVR models for predicting the width.Meanwhile,the prediction performance of the SVR models was compared with the general regression analysis.The results demonstrate that the optimized SVR model is much better than the general regression model in the prediction performance.展开更多
基金the Natural Science Basic Research Plan in Shaanxi Province of China(Nos.2020JQ-780 and 2017JQ5106)the Open Foundation of Chongqing En-gineering Technology Research Center for Light Alloy Materials and Procesling(No.GCZX202001)the Young Teacher Research Project of Xi'an Shiyou Uni-versity(No.0104-134010025)。
文摘The process parameters of pulsed tungsten inert gas(PTIG)have a significant infuence on the forma-tion quality,mechanical properties and corrosion resistance of the weld overlay.The PTIG was utilized to deposit Inconel 625 clads with various combinations of the process parameters,which were determined by the central composite design(CCD)method.Based on the experimental results,the relationship between process parameters of PTIG and formation quality of the Inconel 625 clads was established using support vector regression(SVR)with different kernel functions,including polynomial kernel function,radial basis function(RBF)kernel function,and sigmoid kernel function.The results indicate that the kernel functions have a great influence on the prediction of height,width and dilution.The models with RBF kernel function feature the best goodness of fitting and the most accurate against the other SVR models for estimating the height and the dilution.However,the model with polynomial kernel function is superior to the other SVR models for predicting the width.Meanwhile,the prediction performance of the SVR models was compared with the general regression analysis.The results demonstrate that the optimized SVR model is much better than the general regression model in the prediction performance.
