Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/15879
Title: Fuzzy analysis of surface roughness in electrical discharge machining
Authors: Rodić D.
Gostimirović, Marin 
Laković, Nikola 
Batinić B.
Kulundžić, Nenad 
Issue Date: 1-May-2019
Journal: 2019 Zooming Innovation in Consumer Technologies Conference, ZINC 2019
Abstract: © 2019 IEEE. the work proposes an artificial intelligence tool, respectively fuzzy logic technique for analyzing surface roughness of electrical discharge machining. The analysis of surface roughness based on the fuzzy logic method, which is an approach for analysis of the electrical discharge machining was researched using the Taguchi L9 experimental plan. The aim of this paper is to examine the influence of the individual important input processing parameters, like peak current and pulse on-time on output machining performance. The results have shown that the fuzzy logic approach can be used for the surface roughness analysis in electrical discharge machining.
URI: https://open.uns.ac.rs/handle/123456789/15879
ISBN: 9781728129013
DOI: 10.1109/ZINC.2019.8769355
Appears in Collections:FTN Publikacije/Publications

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