Optimization of Plastic Injection Molding Process Parameters for a DACIA Logan L90 Front Bumper with Taguchi Method

Plastic-based products are being used more and more frequently. Due to the growing demand for thinner products, lower production costs and higher quality, there has been an increase in plastic molding research projects. Productivity can be increased by optimizing the injection molding parameters. In order for the process optimization to be successful, optimal parameters must be set. In this paper we will discuss the warpage defect on the front bumper of DACIA Logan L90. The optimization was performed using the TAGUCHI method and the percentage contributions were calculated using an analysis of variance (ANOVA). A significant correlation was found between mould temperature (35.80%), packing time (35.59%), melt temperature (10.13%) and packing pressure (5.33%). Melting temperature (200 °C), packing time (0.8 s), packing pressure (375 MPa) and mould temperature (80 °C) were found to be the most effective parameters to minimize warpage. The ANOVA analysis and the TAGUCHI method can be used to determine optimal parameters and their contribution percentage. The design of experiments method was therefore found to be one of the most effective ways to improve a production’s quality.