Método Taguchi para la optimización de parámetros en la simulación numéricadel proceso de inyección de plástico

Abstract

This paperproposes the use Taguchi method for parameter optimization in the numerical simulation stage for the injection molding processto reducethe total displacement ofthe product. The variables of melting temperature, cooling time, filling time, and holding time were identified. The use of Taguchi's design of experiments of three levels and five factors is proposed, which adds up to a total of27 iterations of the experiment. The signal-to-noise analysis determined that the two most influential parameters in the decrease ofdisplacement were melting temperature and pressure maintenance time. After the analysis of the variance and the interpretation of signal graphs, two experiments were proposed whose values demonstrated an improvement of 27% (5.0349mm) and 31.43% (4.7485mm), respectively,compared to the control values (6.9252mm).UsingTaguchi and SolidWorks plastic, it was possible to reduce the variation of deformation and the