The Prediction of Surface Roughness of Parallel Machine Tools Based on the Neural Network

Chang Long Zhao; Xue Song Guan

doi:10.4028/www.scientific.net/AMM.556-562.1328

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562The Prediction of Surface Roughness of Parallel...

The Prediction of Surface Roughness of Parallel Machine Tools Based on the Neural Network

Abstract:

Because the parallel machine tool have high speed, high precision, high rigidity and the mechanical structure is simple, the parallel machine tool have been used in many field widely. In the research and application of parallel machine, the effect of processing parameter on machine processing is the most important problem. In the paper the improved artificial neural network is applied to the roughness prediction model of parallel machine tools, the model predict the roughness when the feed rate, spindle speed, processing angle and machining force are changed effectively.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

1328-1331

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.1328

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Cite this paper

Online since:

May 2014

Authors:

Chang Long Zhao*, Xue Song Guan

Keywords:

Modeling, Neural Network (NN), Parallel Machine Tool, Robustness

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* - Corresponding Author

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