Yetim, A. F.Codur, M. Y.Yazici, M.2026-03-262026-03-2620150167-577X1873-497910.1016/j.matlet.2015.06.0152-s2.0-84930960269https://doi.org/10.1016/j.matlet.2015.06.015https://hdl.handle.net/20.500.14901/2115Yazici, Mustafa/0000-0002-8256-244X; Yetim, A Fatih/0000-0002-4314-6830; Çodur, Muhammed Yasin/0000-0001-7647-2424In the present study, wear rate of the 316L stainless steel was predicted by using artificial neural network (ANN). The influence of plasma nitriding on mechanical and tribological properties of 316L stainless steels were investigated using X-ray diffraction, microhardness tester, scanning electron microscopy and pin-on-disk tribotester. Plasma nitriding treatments were performed for 1, 4 and 8 h in 50% H-2-50% N-2 gas mixture, at the temperatures of 350, 375, 400, 425, 450 and 500 degrees C. The results show that CrN and gamma'-Fe4N phases were observed at the higher temperatures than 400 degrees C while s-phase formed at the temperatures under 400 degrees C, Also, modeling results showed that the wear rate of the 316L stainless steel was predicted with high accuracy by ANN. (C) 2015 Published by Elsevier B.V.eninfo:eu-repo/semantics/closedAccessWear and TribologyMicrostructure316L Stainless SteelAnnArticle