A hybrid intelligent method for modelling the EDM process

This paper discusses the development and application of a hybrid artificial neural network and genetic algorism methodology to modelling and optimisation of electro-discharge machining. The hybridisation approach is aimed not only at exploiting the strong capabilities of the two tools, but also at s...

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Bibliographic Details
Published in:International journal of machine tools & manufacture 2003-08, Vol.43 (10), p.995-999
Main Authors: Wang, Kesheng, Gelgele, Hirpa L., Wang, Yi, Yuan, Qingfeng, Fang, Minglung
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Artificial neural networks
Computational intelligence
Computer science
control theory
systems
Electro-discharge machining
Exact sciences and technology
Genetic algorithms
Hybrid systems
Learning and adaptive systems
Mechanical engineering. Machine design
Modelling
Optimisation
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Summary:This paper discusses the development and application of a hybrid artificial neural network and genetic algorism methodology to modelling and optimisation of electro-discharge machining. The hybridisation approach is aimed not only at exploiting the strong capabilities of the two tools, but also at solving manufacturing problems that are not amenable for modelling using traditional methods. Based on an experimental data, the model was tested with satisfactory results. The developed methodology with the model is highly beneficial to manufacturing industries, such as aerospace, automobile and tool making industries.
ISSN:0890-6955
1879-2170
DOI:10.1016/S0890-6955(03)00102-0