Some comments on ‘Investigative study on machinability aspects of unreinforced and reinforced PEEK composite machining using ANN model’

Abstract

This short article comments on two papers using artificial neural networks published in composites journals. The issues discussed include the predictive capability of the neural networks developed, and the size of the databases for training the neural networks. The article includes criticisms of those previously published papers.

Keywords

polyetheretherketone polycrystalline diamond tool cemented carbide (K10) tool power specific cutting pressure artificial neural network

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References

Karnik SR , Gaitonde VN , Mata F. and Davim JP Investigative study on machinability aspects of unreinforced and reinforced PEEK composite machining using ANN model. J Reinf Plast Compos 2008; 27: 751-768.

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