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Featured researches published by Hakan Cetinel.


Archive | 2013

Mechanical Characteristics of AA5083: AA6013 Weldment Joined With AlSi12 and AlSi5 Wires

Mehmet Ayvaz; Hakan Cetinel

Today, AA5083 and AA6013 aluminum alloys among wrought aluminum alloys are widely used in aerospace, shipbuilding and automotive industries. These aluminum alloys differ from each other from the point of view of weldability, endurance properties and being convenient for heat treatment. AA5083 and AA6013 are welded by the tungsten inert gas welding method with two different electrodes (AlSi12—AlSi5) and six different sample parameters have been obtained as 5083-AlSi12-5083, 5083-AlSi5-5083, 6013-AlSi12-6013, 6013-AlSi5-6013, 5083-AlSi12-6013, 5083-AlSi-6013. The mechanical properties of the samples were investigated by micro-hardness scans, tensile, Charpy impact and three point bending tests.In addition to these, some of the welding samples of 6013-AlSi12-6013, 6013-AlSi5-6013, 5083-AlSi12-6013, 5083-AlSi5-6013 which consist of 6013 alloy were exposed to ageing heat treatment, hardness scans, Charpy impact and three point bending tests. The obtained results have been analyzed and compared to previous results.


Industrial Lubrication and Tribology | 2012

The artificial neural network based prediction of friction properties of Al2O3‐TiO2 coatings

Hakan Cetinel

Purpose – The purpose of this paper is to predict friction/wear properties of Al2O3‐TiO2 coatings using artificial neural networks (ANN).Design/methodology/approach – Wear experiments were conducted in dry and acidic conditions. Wear loss values were determined and an ANN model was fixed in order to predict wear loss and friction coefficient values.Findings – Experimental and theoretical study results were well matched for wear loss and friction coefficient values.Research limitations/implications – The paper covers comparison of experimental and theoretical friction/wear results.Practical implications – A practical implication is that wear loss values can be predicted without further wear experiments.Originality/value – In this paper, the wear behavior of Al2O3‐TiO2 coatings has been investigated, both experimentally and theoretically, for the first time.


Wear | 2006

Artificial neural network-based prediction technique for wear loss quantities in Mo coatings

Hakan Cetinel; Hasan Ozturk; Erdal Celik; Bekir Karlık


Journal of Materials Processing Technology | 2008

Tribological behavior of Cr2O3 coatings as bearing materials

Hakan Cetinel; Erdal Celik; Murat I. Kusoglu


Journal of Materials Processing Technology | 2008

The effect of undermatching on crack tip constraint in a welded structure of nodular irons

Hakan Cetinel; T. Aksoy


Physica A-statistical Mechanics and Its Applications | 2005

A nonextensive statistical approach to the kinetics of phase transformation

Ozhan Kayacan; Hakan Cetinel


Physica A-statistical Mechanics and Its Applications | 2013

Investigation of nucleation and grain growth in 2-dimensional systems by using generalized Monte Carlo simulations

Hakan Cetinel; Ozhan Kayacan; Demet Ozaydin


Journal of Materials Processing Technology | 2008

Tribological behavior of Cr 2O 3 coatings as bearing materials

Hakan Cetinel; Erdal Celik; Murat I. Kusoglu


Physica A-statistical Mechanics and Its Applications | 2007

Nonextensive treatment of nucleation and growth in a thin layer

Hakan Cetinel; Ozhan Kayacan


Materials & Design | 2010

WITHDRAWN: The artificial neural network based prediction of friction properties of Al2O3 - TiO2 coatings

Hakan Cetinel

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Erdal Celik

Dokuz Eylül University

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T. Aksoy

Dokuz Eylül University

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Hasan Ozturk

Dokuz Eylül University

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