Parameters Optimization for Injection Molding Based on Digital Signal Processing

The parameters optimization for injection molding based on digital signal processing is gave in this paper. First, design the optimization program of injection molding parameters with orthogonal test; Second, gating system, cooling systems and related injection molding process parameters are chosen as the experimental analysis factors to optimize injection molding process, and analyze the range and variance of test data by MATLAB, to determine the factors that affect the forming quality of the process significantly; Third, the model of process optimization is established by regression analysis; Finally, the optimal process parameters is found by genetic algorithm. The experimental results shown this optimization method can achieved the best parameters for practical produce. So, the method has important practical significance.