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Neural Networks in Modeling of CNC Milling of Moderate Slope Surfaces

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 285)

Abstract

Computer numerical control (CNC) allows achieving a high degree of automation of machine tools by pre-programmed numerical commands. CNC milling process is widely used in industry for machining of complex parts. The need of a description of the CNC milling process is necessary for production of precise parts. This paper introduces artificial neural network based modeling, while the CNC milling of moderate slope shapes is studied. The developed neural models consist of two inputs and two outputs. The created neural models were experimentally tested on the real data. Then, the evaluation and comparison of all models were performed.

Keywords

Artificial neural networks CNC milling Modeling Surface quality 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Faculty of TechnologyTomas Bata University in ZlinZlinCzech Republic

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