OPTIMIZATION OF HPDC PARAMETERS FOR AlSi9Cu3 ALLOYS THROUGH THE UTILIZATION OF DESIGN OF EXPERIMENTS (DOE) FOR POROSITY AND STRENGTH ENHANCEMENT

Abstract

Purpose: Through the optimization of High Pressure Die Casting (HPDC) parameters, the quality and effectiveness of AlSi9Cu3 castings are to be enhanced in this study.

Method: Using Design of Experiments (DOE), the effects of important HPDC parameters, including injection speed, mold temperature, and pressure, were investigated. To determine the ideal parameters, the study utilized multivariable linear regression (MVLR) and genetic algorithm (GA) approaches. The L27 orthogonal array from the Taguchi method was utilized in the experiments, along with MVLR modeling to identify process correlations and GA for optimization. Key parameters were also changed.

Result: The process successfully determined the ideal HPDC settings, resulting in the lowest porosity in the castings of AlSi9Cu3. The validity of the approach was proved by comparing the projected and real data.

Conclusion: The HPDC process quality was greatly enhanced by the combined application of DOE, GA, and MVLR approaches, providing a workable way to raise casting performance and efficiency