Design and Parametric Optimization of the Injection Molding Process Using Statistical Analysis and Numerical Simulation

Quality control is considered a critical aspect of plastic materials in the injection molding process. Two types deformations occur during process, namely, volumetric shrinkage and warpage. This study aims to optimize warpage polyethylene terephthalate preform (PET) used for packing carbonated drinks. PET results an uneven distribution material over wall surface causes variation thickness. During filling operation drinks, preforms are subjected high pressure at points where thickness minimum, which induces high-stress concentration. Under pressure, ruptured maximum (stress concentration area), causing wastage beverage as well preform. In this study, Taguchi method analysis variance (ANOVA) determine most significant parameters induce Then, we process order reduce through numerical approach using SolidWorks Plastics. The result shows that ambient temperature melting contribute warpage, yielding 42.115% 41.278%, respectively. Among 6 holding time contributes minimum 0.5961% Overall, by optimizing parameters, minimized 7.7202%, helps drink rejection rate operation. nutshell, quality improved.