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Parameters Optimization for Injection Molding Based on Digital Signal Processing

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Abstract:

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.

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Info:

Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

1890-1893

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.1890

Citation:

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Online since:

October 2013

Authors:

Wen Ling Xie, Shun Yong Zhou, Yong Hu

Keywords:

Genetic Algorithm (GA), Orthogonal Experiment, Plastic Molding Parameters Optimization, Regression Analysis

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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