Predicting the abrasion resistance of tool steels by means of neurofuzzy model

Lisjak, Dragutin and Filetin, Tomislav (2013) Predicting the abrasion resistance of tool steels by means of neurofuzzy model. = Predicting the abrasion resistance of tool steels by means of neurofuzzy model. Interdisciplinary Description of Complex Systems, 11 (3). pp. 334-344. ISSN 1334-4684. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. . Točan broj autora: 2.

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Abstract

This work considers use neurofuzzy set theory for estimate abrasion wear resistance of steels based on chemical composition, heat treatment (austenitising temperature, quenchant and tempering temperature), hardness after hardening and different tempering temperature and volume loss of materials according to ASTM G 65-94. Testing of volume loss for the following group of materials as fuzzy data set was taken: carbon tool steels, cold work tool steels, hot work tools steels, high-speed steels. Modelled adaptive neuro fuzzy inference system (ANFIS) is compared to statistical model of multivariable non-linear regression (MNLR). From the results it could be concluded that it is possible well estimate abrasion wear resistance for steel whose volume loss is unknown and thus eliminate unnecessary testing.

Item Type:	Article (["eprint_fieldopt_article_type_article" not defined])
Keywords (Croatian):	abrasion resistance, tool steels, modelling, neurofuzzy
Subjects:	TECHNICAL SCIENCE > Basic technical sciences
Divisions:	1000 Department of Materials > 1010 Chair of Materials and Tribology 700 Department of Industrial Engineering > 720 Chair of Production Control
Indexed in Web of Science:	No
Indexed in Current Contents:	No
Date Deposited:	30 Jun 2016 11:05
Last Modified:	19 Feb 2018 15:00
URI:	http://repozitorij.fsb.hr/id/eprint/6014

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