The Optimization of EDM Machining Parameters of Graphite Electrode on BP Neural Network

Yun Xia Wu; Cheng Yong Wang

doi:10.4028/www.scientific.net/AMM.331.604

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 331The Optimization of EDM Machining Parameters of...

The Optimization of EDM Machining Parameters of Graphite Electrode on BP Neural Network

Abstract:

This paper proposed a machining parameters optimization system of graphite electrode in EDM, which is established on BP neural network. Because BP neural network can approximate any continuous function by random accuracy, it is extensively used in processing technology, for example, the evaluation of the processing parameters, the optimization of machining parameters and processing error prediction, and processing technology effects are eventually predicted. The experiment results show that our system can reflect processing rule of EDM machine tool, and it can successfully predict material remove rate, electrode wear and surface roughness.

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Periodical:

Applied Mechanics and Materials (Volume 331)

Pages:

604-607

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.331.604

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Online since:

July 2013

Authors:

Yun Xia Wu, Cheng Yong Wang

Keywords:

BP Neural Network (BPNN), EDM, Graphite Electrode, Optimization Parameters

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References

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