Analysis and application of partial least square regression in arc welding process

Abstract

Because of the relativity among the parameters, partial least square regression (PLSR) was applied to build the model and get the regression equation. The improved algorithm simplified the calculating process greatly because of the reduction of calculation. The orthogonal design was adopted in this experiment. Every sample had strong representation, which could reduce the experimental time and obtain the overall test data. Combined with the formation problem of gas metal arc weld with big current, the auxiliary analysis technique of PLSR was discussed and the regression equation of form factors (i. e. surface width, weld penetration and weld reinforcement) to process parameters(i. e. wire feed rate, wire extension, welding speed, gas flow, welding voltage and welding current) was given. The correlativity structure among variables was analyzed and there was certain correlation between independent variables matrix X and dependent variables matrix Y. The regression analysis shows that the welding speed mainly influences the weld formation while the variation of gas flow in certain range has little influence on formation of weld. The fitting plot of regression accuracy is given. The fitting quality of regression equation is basically satisfactory.

Keywords

PLSR / regression modeling / formation of weld

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