Optimization of Process Parameters in Plastic Injection Mold Simulation for Auto Lock-Parts using Taguchi-Grey Method Based on Multi-Objective

Abstract

Locks may be inserted during the production of certain auto lock-parts. Warpage of auto lock-parts during injection molding is the most critical problem facing product quality. This warpage is mostly affected by the processing parameters and design of the injection mold. In this paper, the influences of molding conditions on the warpage of auto-lock parts were studied using a mold filling analysis software. This study combines the Taguchi method and grey relational analysis to find the optimal set parameters for auto lock-parts and to analyze the effect of individual parameter on the warpage and the temperature distribution results. We then configure different cooling design change temperature distribution and reduce warpage, respectively, the original cooling, U-shaped cooling and conformal cooling with each other. From the results, it is shown that the factor that the most strongly affects the warpage is the mold temperature, with packing pressure being a secondary consideration. The optimum parameters that can minimize the warpage defects filling time (0.6 s), melt temperature (260°C), mold temperature (65°C), injection pressure (125 MPa) and packing pressure (140 MPa).

Effects of Plastic Injection Moulding Process Parameters on Material Elastic Modulus on Complex Geometry and Parameter Optimization for Getting Maximum Stiffness

“…WeiTai Huang et al [2] examined the impacts of process parameters and mould design on the shrinkage of auto-lock designs by using Taguchi's approach and Grey Relation Analysis technique. Relation between process parameters and shrinkage were reported.…”

Optimization of Melt and Coolant Temperature on Defects of Injection Molded Toothbrush Handle

“…Optimization of polypropylene injection process control parameters resulted in a product defect of 0.0062 with an optimal setting of 275 o C injection temperature [13]. In auto lock-part products, the factor that affects warpage is the mold temperature and the parameter that can minimize defects is the melt temperature of 260 o C [14]. Melt temperature in polypropylene affects the shrinkage defects of injection molding results.…”

Optimization of Polymer Processing: A Review (Part II-Molding Technologies)

“…Chen et al [24], aiming to optimize nine operating conditions whilst assuming warpage as an objective and shrinkage as a constraint, applied the response surface method (data analysis) combined with nonlinear programming. Huang et al [25] linked the Taguchi method with a grey relational analysis to find the best operating conditions (melt and mold temperatures, injection pressure and time, holding pressure) taking individually into account the minimization of warpage and of temperature distribution. The way the optimization was performed seems somewhat unclear since the grey relation analysis is merely a data analysis method.…”