Optimize the Process Parameters of The Paper Feeding Mechanism Based on The Response Surface Method

Abstract

In order to solve the problem of lateral deviation during the short-distance conveying process of paper, this paper adopts the response surface method (RSM) to establish a regression model of the paper deviation amount with respect to the feed speed, pressing force and friction coefficient. The accuracy of the model is evaluated through variance analysis, fitting accuracy analysis, residual analysis and the comparison between predicted values and experimental values. The influence of various factors on the paper deviation amount is analyzed by means of three-dimensional response surfaces and contour plots. In addition, the optimal process parameters are obtained by utilizing the Numerical function in the Design-Expert software, and the reliability of the model is verified through experiments. The research results show that the optimized process parameters are as follows: the feed speed is 42.14 bag/min, the pressing force is 0.29 kg, and the friction coefficient is 0.29. The errors between the predicted values and the measured values are all within 5%, which proves the high accuracy and reliability of the regression model. This study provides a reliable theoretical basis for the optimization of the paper feeding mechanism process in the production process of environmentally friendly paper bags and has important practical application value.