Predicting Surface White Layer in Precision Hard Turning

Tao Chen; Ming Jun Zhang; Xian Li Liu

doi:10.4028/www.scientific.net/SSP.175.274

Paper Titles

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Adiabatic Shear Behavior and Chip Morphology in Precision Hard Cutting GCr15 Steel
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Predicting Surface White Layer in Precision Hard Turning
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Study on Effects of Cutter Radial Runout and Deformation on Cutting Force in Ball-End Hard Milling
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HomeSolid State PhenomenaSolid State Phenomena Vol. 175Predicting Surface White Layer in Precision Hard...

Predicting Surface White Layer in Precision Hard Turning

Abstract:

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.

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Periodical:

Solid State Phenomena (Volume 175)

Pages:

274-277

DOI:

https://doi.org/10.4028/www.scientific.net/SSP.175.274

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Online since:

June 2011

Authors:

Tao Chen, Ming Jun Zhang, Xian Li Liu

Keywords:

BP Artificial Neural Network, Precision Hard Turning, Prediction, White Layer

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