Application of Optimization Algorithms in Injection Molding Process Parameters

Ze Hao Hu; Wei Wei; Juan Liu; Kun Liu

doi:10.4028/www.scientific.net/AMR.308-310.3

Paper Titles

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Application of Optimization Algorithms in Injection Molding Process Parameters
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 308-310Application of Optimization Algorithms in...

Application of Optimization Algorithms in Injection Molding Process Parameters

Abstract:

The data of process parameters and quality index from CAE simulation orthogonal test is used as training samples, the BP neural network is trained and the neural networks ensemble approximate calculation agent model of the relations between processing parameters and the quality index of product are obtained. The agent model with a clear mathematical formula calculates quickly and accurately, so it can optimize globally by the genetic algorithm. The best group of process parameters is obtained and a multi-objective optimization of the quality index of products is realized.

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Periodical:

Advanced Materials Research (Volumes 308-310)

Pages:

3-8

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.308-310.3

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Online since:

August 2011

Authors:

Ze Hao Hu, Wei Wei, Juan Liu, Kun Liu

Keywords:

Agent Model, Genetic Algorithm (GA), Injection Molding, Neural Networks Ensemble, Process Parameter

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