Effect of micro injection molding parameters on cavity pressure and temperature assisted by Taguchi method

Abstract

The injection molding process is one of the most efficient processes where mass production through automation is feasible and products with complex geometry at low cost are easily attained. In this study, an experimental work is performed on the effect of injection molding parameters on the polymer pressure and temperature inside the mold cavity. Different process parameters of the injection molding are considered during the experimental work including packing pressure, packing time, injection pressure, mold temperature, and melt temperature. The cavity pressure is measured with time by using Kistler pressure sensor at different injection molding cycles. The results show the packing pressure is significant factor of affecting the maximum of diverse spline cavity pressure. The mold temperature is significant factor of affecting the maximum cavity temperature. The results obtained specify well the developing of the cavity pressure and temperature inside the mold cavity during the injection molding cycles.

Enhancement of multilayer perceptron model training accuracy through the optimization of hyperparameters: a case study of the quality prediction of injection-molded parts

“…Among them, the Taguchi experimental method combined with analysis of variance or correlation coefficient is widely used to identify the ideal combination of injection molding parameters. This method can be used to reduce the number of experiments and determine the factors that reduce manufacturing costs and achieve stable quality goals [10][11][12][13][14]. The emergence of artificial intelligence has also offered highly nonlinear fitting possibilities.…”