Manufacturing Technology 2016, 16(2):384-390 | DOI: 10.21062/ujep/x.2016/a/1213-2489/MT/16/2/384

FEM/AI Models for the Simulation of Precision Grinding

Angelos P. Markopoulos1, János Kundrák2
1 Section of Manufacturing Technology, School of Mechanical Engineering, National Technical University of Athens, Heroon Polytechniou 9, 15780 Athens, Greece
2 Institute of Manufacturing Science, University of Miskolc, Egyetemváros H-3515 Miskolc, Hungary

Simulation of grinding is a topic of great interest due to the wide application of the process in contemporary industry. Up to date, several modelling methods have been utilized in order to accurately describe the complex phenomena taking place during grinding, the most common being the finite element method and artificial intelligence techniques, e.g. soft computing methods. The present paper proposes a new hybrid model for precision grinding, more specifically the combination of finite elements with neural networks. The model possesses the advantages of both the aforementioned methods, for the prediction of several grinding features that define the outcome of the process and the quality of the final product.

Keywords: Grinding, Modelling and Simulation, Finite Element Method, Neural Networks

Published: April 1, 2016  Show citation

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Markopoulos AP, Kundrák J. FEM/AI Models for the Simulation of Precision Grinding. Manufacturing Technology. 2016;16(2):384-390. doi: 10.21062/ujep/x.2016/a/1213-2489/MT/16/2/384.
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