Journal of Production Engineering

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

Possibility of ANFIS application for evaluation roughness of surface during cnc machining

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  • Milovoje Jovanović,
  • Srđaj Jović
Milovoje Jovanović
University of Priština, Faculty of Technical Sciences in Kosovska Mitrovica, Kneza Milosa 7, 38220 Kosovska Mitrovica, Serbia
Srđaj Jović
University of Priština, Faculty of Technical Sciences in Kosovska Mitrovica, Kneza Milosa 7, 38220 Kosovska Mitrovica, Serbia
DOI: https://doi.org/10.24867/JPE-2018-01-017

Published 2023-11-26

abstract views: 15 // FULL TEXT ARTICLE (PDF): 13


Keywords

  • Surface roughness,
  • alloy,
  • ANFIS,
  • machining

How to Cite

Jovanović, Milovoje, and Srđaj Jović. 2023. “Possibility of ANFIS Application for Evaluation Roughness of Surface During Cnc Machining”. Journal of Production Engineering 21 (1):17-20. https://doi.org/10.24867/JPE-2018-01-017.

Copyright (c) 2023 Journal of Production Engineering

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

Abstract

In this investigation was analyzed the surface roughness of Co29Cr6Mo medical alloy which is machines with a CNC machine. The method of ANFIS (adaptive neuro fuzzy inference system) was applied to estimate important factors of roughness of surface of the material during machining process. Than main goal was to evaluate the machining parameters for the surface roughness in order to optimize the machining process for the best conditions. Four machining parameters are considered. Average surface roughness Ra is considered as output since it is the only relevant measure of the surface quality.

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FULL TEXT ARTICLE (PDF)