Predicting Surface White Layer in Precision Hard Turning

Abstract:

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With the advantage of neural network in dealing with non-linear problem, this paper has established a BP artificial neural network model of non-linear mapping for tool parameters, cutting parameters and white layer depth value in precision hard turning. Results indicate that the model is of high accuracy and of extensive ability to deal with problem, and can accurately predict surface whiter layer in precision hard turning. This research will provide essential help for selection of cutting parameter and tool parameter.

Info:

Periodical:

Solid State Phenomena (Volume 175)

Edited by:

Xipeng Xu

Pages:

274-277

DOI:

10.4028/www.scientific.net/SSP.175.274

Citation:

T. Chen et al., "Predicting Surface White Layer in Precision Hard Turning", Solid State Phenomena, Vol. 175, pp. 274-277, 2011

Online since:

June 2011

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Price:

$35.00

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