Browsing by Author "Codur, M. Y."

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Comparing the Methods Applied to Highways in the Fight Against Snow in the Eastern Anatolia Region of Turkey
(National Institute Science Communication-NISCAIR, 2020) Codur, M. Y.
Climate changes are very important for traffic safety in both developed and developing countries. Traffic safety has adversely been affected in areas with a high incidence of snow, ice and serious traffic accidents have taken place. In order to prevent these accidents in Turkey, General Directorate of Highways and local municipalities use conventional and modern methods to reduce snow and ice effect. Some of the conventional methods are temporary solutions and damage on both road surface and environment. Modern methods also have application difficulties. Nowadays, different methods have been developed to prevent snow and ice on highways. The newest of these methods are detecting and preventing icing system. In this study, the conventional and developing modern methods were compared in the cities which are included in the task area of 12th Regional Directorate of Highways and were under the heavy effect of snow and icing. As a result, the effective methods in fighting against icing were determined and compared.
Using of Artificial Neural Network for the Prediction of Tribological Properties of Plasma Nitrided 316l Stainless Steel
(Elsevier Science Bv, 2015) Yetim, A. F.; Codur, M. Y.; Yazici, M.
In 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.