Technical Study on Neural Network Intelligent Setting for GAIM Processing Parameters

Bing Quan Wang; Zheng Wei Zhang

doi:10.4028/www.scientific.net/AMR.102-104.796

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 102-104Technical Study on Neural Network Intelligent...

Technical Study on Neural Network Intelligent Setting for GAIM Processing Parameters

Abstract:

The defects in gas-assisted injection molding are mainly caused by processing parameters improper adjustment. The model for artificial neural network was developed, and was trained through the software platform MATLAB. By the bridle-wise network, the experimental parameters could be set quickly and intelligently. The correctness of these parameters was validated by CAE simulation.

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Periodical:

Advanced Materials Research (Volumes 102-104)

Pages:

796-800

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.102-104.796

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Online since:

March 2010

Authors:

Bing Quan Wang, Zheng Wei Zhang

Keywords:

Artificial Neural Network (ANN), Gas Assisted Injection Modeling, Intelligent Setting, Process Parameter

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References

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