ABSTRACT
This paper deals with the application computer aided engineering integrating with statistical technique to reduce the fill time variation depends on injection molding process parameters. Injection molding is one of the most exploited industrial processes in the production of plastic parts. Fill Time behavior of molded plastic part plays an important role in determining the final dimensions of part. Input parameters play an important role of quality of plastic parts. In this work input parameter melt temperature, mold temperature, injection speed and packing pressure to control fill time as response of injection molded parts to improve the quality of plastic part. In this study Mold Flow Advisor (MFA) is used to study & verify the effect to process parameters and optimize the fill time. Optimization of process parameters done using design of experiments (DOE) and analysis of variance (ANOVA) optimum combination of process parameter is governed by signals to noise (S/N) ratio and analysis of variance ( ANOVA ) and using the fuzzy logic approach .
