The use of artificial intelligence to model the geometric state of the surface after EDM machining of tool steels

Authors

  • Halina Nieciąg AGH University of Science and Technology in Cracow
  • Rafał Kudelski AGH University of Science and Technology in Cracow
  • Krzysztof Zagórski AGH University of Science and Technology in Cracow

DOI:

https://doi.org/10.24136/atest.2018.454

Keywords:

ANNs, EDM technology, electrode inspection

Abstract

The article presents the application of artificial intelligence methods in the form of artificial neural networks (SSN) for modeling the geometrical state of a product shaped in the EDM process. The SSN with different architecture and different learning algorithms were implemented. The models' quality and their effectiveness in predicting some geometrical features of tool steel products were examined.

Downloads

Download data is not yet available.

Downloads

Published

2018-12-31

How to Cite

Nieciąg, H., Kudelski, R., & Zagórski, K. (2018). The use of artificial intelligence to model the geometric state of the surface after EDM machining of tool steels. AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe, 19(12), 570–574. https://doi.org/10.24136/atest.2018.454

Issue

Vol. 19 No. 12 (2018)

Section

Articles