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Izvorni znanstveni članak
https://doi.org/10.7906/indecs.11.3.8

Predicting the Abrasion Resistance of Tool Steels by Means of Neurofuzzy Model

Dragutin Lisjak ; Faculty of Mechanical Engineering and Naval Architecture – University of Zagreb
Tomislav Filetin ; Faculty of Mechanical Engineering and Naval Architecture – University of Zagreb

Puni tekst: engleski, pdf (1 MB) str. 334-344 preuzimanja: 355* citiraj
APA 6th Edition
Lisjak, D. i Filetin, T. (2013). Predicting the Abrasion Resistance of Tool Steels by Means of Neurofuzzy Model. Interdisciplinary Description of Complex Systems, 11 (3), 334-344. https://doi.org/10.7906/indecs.11.3.8
MLA 8th Edition
Lisjak, Dragutin i Tomislav Filetin. "Predicting the Abrasion Resistance of Tool Steels by Means of Neurofuzzy Model." Interdisciplinary Description of Complex Systems, vol. 11, br. 3, 2013, str. 334-344. https://doi.org/10.7906/indecs.11.3.8. Citirano 28.11.2020.
Chicago 17th Edition
Lisjak, Dragutin i Tomislav Filetin. "Predicting the Abrasion Resistance of Tool Steels by Means of Neurofuzzy Model." Interdisciplinary Description of Complex Systems 11, br. 3 (2013): 334-344. https://doi.org/10.7906/indecs.11.3.8
Harvard
Lisjak, D., i Filetin, T. (2013). 'Predicting the Abrasion Resistance of Tool Steels by Means of Neurofuzzy Model', Interdisciplinary Description of Complex Systems, 11(3), str. 334-344. https://doi.org/10.7906/indecs.11.3.8
Vancouver
Lisjak D, Filetin T. Predicting the Abrasion Resistance of Tool Steels by Means of Neurofuzzy Model. Interdisciplinary Description of Complex Systems [Internet]. 2013 [pristupljeno 28.11.2020.];11(3):334-344. https://doi.org/10.7906/indecs.11.3.8
IEEE
D. Lisjak i T. Filetin, "Predicting the Abrasion Resistance of Tool Steels by Means of Neurofuzzy Model", Interdisciplinary Description of Complex Systems, vol.11, br. 3, str. 334-344, 2013. [Online]. https://doi.org/10.7906/indecs.11.3.8

Sažetak
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.

Ključne riječi
abrasion resistance; tool steels; modelling; neurofuzzy

Hrčak ID: 106188

URI
https://hrcak.srce.hr/106188

Posjeta: 555 *