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Journal of Materials Engineering and Performance

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12-04-2019

An Investigation of the Wear Performance of Aged Inconel 718 Superalloy by the Fuzzy Logic Approach

Authors: Ali Kalyon, Osman Palavar, Dursun Özyürek

Published in: Journal of Materials Engineering and Performance | Issue 5/2019

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Abstract

In this study, the effects of δ, γ′ and γ″ phases on the microstructure and wear behavior of Inconel 718 alloy, produced by powder metallurgy technique, were analyzed experimentally and a fuzzy logic model was developed for the weight loss prediction after the wear tests. Aging process was carried out in two stages: firstly at 720 °C for 8 h and then at 620 °C for 6-10 h. Wear tests were performed at five different sliding distances (400-2000 m) for 1 ms⁻¹ sliding speed under 30 to 60 N loads. Weight loss prediction model was developed by using fuzzy logic method. SEM images of Inconel 718 alloy aged for 6, 8 and 10 h at 620 °C show intermetallic precipitates formed around particle boundaries. XRD examinations showed orthorhombic δ (Ni₃Nb), BCT γ″ (Ni₃Nb), FCC γ′ Ni₃(Al,Ti) hexagonal Laves (Fe₂Nb) phases formed in the structure with the same chemical composition and different crystal lattice. Accurate estimates were obtained in the developed fuzzy logic model. It was illustrated that this fuzzy logic model can be used successfully for the prediction of weight loss in wear tests of Inconel 718 alloy that was produced by powder metallurgy method.

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Title: An Investigation of the Wear Performance of Aged Inconel 718 Superalloy by the Fuzzy Logic Approach
Authors: Ali Kalyon
Osman Palavar
Dursun Özyürek
Publication date: 12-04-2019
Publisher: Springer US
Published in: Journal of Materials Engineering and Performance / Issue 5/2019
Print ISSN: 1059-9495
Electronic ISSN: 1544-1024
DOI: https://doi.org/10.1007/s11665-019-04016-z

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