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Neural Networks in Modeling of CNC Milling of Moderate Slope Surfaces

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Modern Trends and Techniques in Computer Science

Part of the book series: Advances in Intelligent Systems and Computing ((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.

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Authors and Affiliations

  1. Faculty of Technology, Tomas Bata University in Zlin, Zlin, Czech Republic

    Ondrej Bilek & David Samek

Authors
  1. Ondrej Bilek
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  2. David Samek
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Correspondence to Ondrej Bilek .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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Bilek, O., Samek, D. (2014). Neural Networks in Modeling of CNC Milling of Moderate Slope Surfaces. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Silhavy, P., Prokopova, Z. (eds) Modern Trends and Techniques in Computer Science. Advances in Intelligent Systems and Computing, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-319-06740-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-06740-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06739-1

  • Online ISBN: 978-3-319-06740-7

  • eBook Packages: EngineeringEngineering (R0)

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