Vol. 21 No. 1 (2018)
Original Research Article

Wear of model and integral face milling cutter modelled by artificial intelligence

FULL TEXT ARTICLE (PDF)
  • Pavel Kovač,
  • Borislav Savkovic,
  • Dragan Rodić,
  • Marin Gostimirović,
  • Ildiko Mankova
Pavel Kovač University of Novi Sad, Faculty of Technical Sciences, Departman for Production Engineering, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia
Borislav Savkovic University of Novi Sad, Faculty of Technical Sciences, Departman for Production Engineering, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia
Dragan Rodić University of Novi Sad, Faculty of Technical Sciences, Departman for Production Engineering, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia
Marin Gostimirović University of Novi Sad, Faculty of Technical Sciences, Departman for Production Engineering, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia
Ildiko Mankova Technical University of Košice, Faculty of Mechanical Engineering, Deptartment of Manufacturing Technology and Materials, Mäsiarska 74, 040 01 Košice.

Published 2023-11-26

Keywords

  • Wear parameters,
  • face milling,
  • modelling,
  • neural network

Copyright (c) 2023 Journal of Production Engineering

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The paper presents results of experimental study of model single tooth and integral multi tooth milling cutter. During the study research were tool wear on rake face and flank face of face milling cutter during processing time. Radial and axial throw of tooth were small and wear parameters are during processing time remain near for both cases. Tool wear of model single tooth and eight teeth face milling cutter were modeled by statistical method and artificial intelligence neural network model and were compared. Better models were achieved with artificial intelligence method.

FULL TEXT ARTICLE (PDF)