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Vol.8, No.2, May 2019. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
A New Approach to Evaluation of the Material Cutting Using the Artificial Neural Networks
Ján Piteľ, Darina Matisková, Daniela Marasová
© 2019 Darina Matisková, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 8, Issue 2, Pages 325-332, ISSN 2217-8309, DOI: 10.18421/TEM82-02, May 2019.
Received: 29 January 2019.
Abstract:
Article deals with the process of accurate measurements and evaluation, i.e. the monitoring of the technological process of the material cutting using the Abrasive Water Jet and process control while using the artificial neural network, and a suggestion of process steps, particularly by a thorough application of mathematical modelling principles. An important mission of this article is to document, in an easy and comprehensible way, a tool intended for the creation of good control properties for multiple axes of the material cutting head support (using the AWJ, Plasma, acetylene burner, etc.). A desired objective is to achieve the best possible or optimal quality of the surface of the cut material, while using the properties of modern cutting technologies. To achieve those objectives, one of several known options was applied, in particular the advantages of the artificial neural networks and their beneficial properties. A simple task will be used to practically document the behaviour of an artificial neural network and a selected model execution.
Keywords – Artificial neural network, Neuron, Multiaxial head support, Multi-parameter control. |
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