FEM/AI models for the simulation of precision grinding

Angelos P. Markopoulos, J. Kundrák

Research output: Article

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)384-390
Number of pages7
JournalManufacturing Technology
Volume16
Issue number2
Publication statusPublished - jan. 1 2016

Fingerprint

Finite element method
Soft computing
Artificial intelligence
Neural networks
Industry

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

FEM/AI models for the simulation of precision grinding. / Markopoulos, Angelos P.; Kundrák, J.

In: Manufacturing Technology, Vol. 16, No. 2, 01.01.2016, p. 384-390.

Research output: Article

Markopoulos, Angelos P. ; Kundrák, J. / FEM/AI models for the simulation of precision grinding. In: Manufacturing Technology. 2016 ; Vol. 16, No. 2. pp. 384-390.
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