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Browsing Makale Koleksiyonu by Author

Browsing Makale Koleksiyonu by Author "Genel, K;"

Now showing items 1-6 of 6

Application of artificial neural network for predicting strain-life fatigue properties of steels on the basis of tensile tests

Genel, Kenan (ELSEVIER SCI LTD, 2004)

The applicability of artificial neural networks (ANN) in predicting the strain-life fatigue properties using tensile material data for 73 steels was investigated by conducting four separate neural networks for individual ...
Boriding kinetics of H13 steel

Genel, Kenan (PERGAMON-ELSEVIER SCIENCE LTD, 2006)

It is known that boriding has been employed to increase the service life of parts such as orifices; ingot molds, and dies for hot forming made of AISI H13 steel. In this study, case properties and kinetics of borided AISI ...
Environmental effect on the fatigue performance of bare and oxide coated 7075-T6 alloy

Genel, Kenan (PERGAMON-ELSEVIER SCIENCE LTD, 2013)

Fatigue behaviors of bare and anodic oxide coated 7075-T6 alloy have been investigated in laboratory air and 3.5%NaCl solution environment by using smooth cylindrical specimens. Presence of corrosive attack during fatigue ...
Estimation method for the fatigue limit of case hardened steels

Genel, Kenan (ELSEVIER SCIENCE SA, 2005)

It is well known that estimation of fatigue limit and optimum effective case depth are an important area of interest to the design engineer. In this study, simple expressions for the case hardened steels have been proposed ...
The effect of pitting on the bending fatigue performance of high-strength aluminum alloy

Genel, Kenan (PERGAMON-ELSEVIER SCIENCE LTD, 2007)

The effect of pitting on the bending fatigue performance of high-strength aluminum alloy has been investigated by conducting a series of rotary bending fatigue tests at 95 Hz. From pitting corrosion studies, it was observed ...
Use of artificial neural network for prediction of ion nitrided case depth in Fe-Cr alloys

Genel, Kenan (ELSEVIER SCI LTD, 2003)

In this work, a simple artificial neural network (ANN) model using back-propagation training algorithm for ion nitriding behaviour of Fe-Cr alloys was established. The case depth data were extracted from experimental data ...