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Institution

Batman University

EducationBatman, Turkey
About: Batman University is a education organization based out in Batman, Turkey. It is known for research contribution in the topics: Diesel fuel & Diesel engine. The organization has 300 authors who have published 810 publications receiving 10346 citations. The organization is also known as: Batman Üniversitesi.


Papers
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Proceedings ArticleDOI
01 Sep 2017
TL;DR: In this article, the tensile strength of the assembled parts was estimated by input parameters (the type of the material, the number of revolutions and the feed rate) using artificial neural networks (ANN).
Abstract: Artificial neural networks (ANN) is increasingly being used to solve engineering problems. Successful welding operations are at the top of engineering problems. The friction stir welding method, which is used to combine the materials under the melting temperature, is also a method that can be analyzed with ANN. In this study, Al-7075 workpieces (with and without aging treatment) were joined by the friction stir welding method. Tension tests were applied to the joined workpieces and the resulting values were modeled by ANN. In ANN model; The tensile strength of the assembled parts was tried to be estimated by input parameters (the type of the material, the number of revolutions and the feed rate). In the created ANN model; Different nerve numbers, different transfer functions, using different layer numbers, the models created by alternative network structures have been tested. In these experiments, prediction performance was measured using neuron and algorithm type variables. At the end of this study, it was seen that the ANN model for the parts joined with the FSW process made predictions with high consistency. The best estimates were obtained with the Levenberg Marquardt (LM) algorithm and the ANN model established with 3 neurons. This ANN model is seen as a suitable solution for this problem with 98% success.

3 citations

Journal ArticleDOI
TL;DR: In this article, chemical properties and mineral levels of yoghurts containing different fruit marmalades were investigated using an inductively coupled plasma optical emission spectrometer (ICP-OES).
Abstract: In this study chemical properties and mineral levels of yoghurts containing different fruit marmalades were investigated Cherry laurel, loquat fruit and kiwi marmalade were used to make the stirred yoghurts, and the calcium, phosphorus, sodium, magnesium, manganese, iron, zinc, copper, boron, lead, nickel, molybdenum, chromium, cadmium, cobalt levels were determined by an inductively coupled plasma optical emission spectrometer (ICP–OES) The total solid, fat, ash, pH, viscosity and syneresis contents of the yoghurt samples changed between 1385–2102%, 245–290%, 082–094%, 411–422, 2104–2454 cP and 420–470 mL/100 g, respectively The mean concentrations in the yoghurts of these minerals were 10466–11894 calcium, 9581–11242 phosphorus and 1347–1504 magnesium as mg/100 g, 23500–25400 iron, 42900–45300 zinc and 7045–12290 copper as μg/100 g The recommended dietary allowance (RDA) was calculated on the basis of the intake of one yoghurt portion (125 g)

3 citations

Journal Article
Mustafa Avci1
TL;DR: In this article, the authors studied an anisotropic nonlocal problem which is a stationary counterpart of the Kirchhoff equation settled in the variable exponent Sobolev spaces and obtained the existence and multiplicity of nontrivial weak solutions.
Abstract: In this paper, we study an anisotropic nonlocal problem which is a stationary counterpart of the Kirchhoff equation settled in the variable exponent Sobolev spaces W₀^{1,p(⋅)}(Ω). By using the variational approach and applying the Mountain-Pass theorem along with the Fountain theorem, we obtain the existence and multiplicity of nontrivial weak solutions.

3 citations

Journal ArticleDOI
Sukru Merey1
TL;DR: In this article, the pore pressure gradient intervals in the Eastern Mediterranean Sea and the Western Mediterranean Sea were estimated as 0.433-0.484 psi/ft and 0.567-1.460 psi/FT, respectively.

3 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202312
202257
2021136
2020106
201984
201872