Browsing by Author "Solmaz B."

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    Similarity analysis of long wave equations with variable bottom friction
    (2004) Anaç Kiliç M.; Pakdemirli M.; Solmaz B.
    Long wave equations propagating along an open channel with bottom friction are considered. The equations are cast into a non-dimensional form. Scaling and translational symmetries of the equations are calculated for the cases of constant bottom friction coefficient and variable bottom friction coefficient. Using the symmetries, the partial differential equations are transformed into ordinary differential equations. Analytical and numerical solutions of the ordinary differential equations are found and solutions are contrasted with each other.
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    Application of artificial neural networks to the estimation of water quality parameters of River Gediz
    (2004) Demirdag O.; Yurdusev M.A.; Solmaz B.
    In this project, artificial neural networks (ANN) are used for the estimation of water quality parameters of River Gediz in the western part of Turkey. Gediz River basin contains the third largest city of Turkey. Moreover, it is the major agricultural area in the region as well as highly industrialised. There are so many pollution sources although clean water is highly demanded. Therefore, estimation of quality parameters from relatively easily measured river parameters is of great importance to maintain adequate water quality monitoring in the river. Selection of appropriate input parameters to estimate another one is key to use ANN. This is essential to obtain maximum success with minimum error. The input parameters selected must be those which affects most the output one. In this study, therefore, to estimate the amount of total dissolved solid (TDS), the river discharge, the water temperature and PH (acidity) are chosen as input parameters. A generic ANN software was run for different values of input parameters. This comprised training and test phases. For the most successful result of training for each month, the test phase was undertaken. The values passing the test phase successfully showed that ANN could successfully be used for estimation of water quality parameters that are relatively difficult to measure from those easily-measured. The outputs of such studies are essential for river water quality modelling studies. Copyright ASCE 2004.
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    Analytical and numerical solutions of a generalized hyperbolic non-newtonian fluid flow
    (Verlag der Zeitschrift fur Naturforschung, 2010) Pakdemirli M.; Sari P.; Solmaz B.
    The generalized hyperbolic non-Newtonian fluid model first proposed by Al-Zahrani [J. Petroleum Sci. Eng. 17, 211 (1997)] is considered. This model was successfully applied to some drilling fluids with a better performance in relating shear stress and velocity gradient compared to power-law and the Hershel-Bulkley model. Special flow geometries namely pipe flow, parallel plate flow, and flow between two rotating cylinders are treated. For the first two cases, analytical solutions of velocity profiles and discharges in the form of integrals are presented. These quantities are calculated by numerically evaluating the integrals. For the flow between two rotating cylinders, the differential equation is solved by the Runge-Kutta method combined with shooting. For all problems, the powerlaw approximation of the model is compared with the generalized hyperbolic model, too. © 2010 Verlag der Zeitschrift für Naturforschung, Tübingen.
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    NUMERICAL ANALYSIS OF PULSATING FORCED CONVECTION IN A BACKWARD-FACING STEP FLOW SUBJECTED TO NANOFLUIDS
    (Gheorghe Asachi Technical University of Iasi, Romania, 2021) Çavdar P.S.; Solmaz B.; Selimefendigil F.; Yurddaş A.
    The numerical investigation of pulsating forced convection in a backward-facing step flow using water-based nanofluids has been presented. This study is performed for different Reynolds numbers (based on the step height) in the range of 10 and 200, different inlet velocity and different Strouhal number. The effects of water-based nanofluids, which contain Al2O3 (Aluminium oxide) and Cu (Copper) nanoparticles with volume fractions ranging from 1% to 5%, on the heat transfer were determined. All numerical solutions were evaluated by using the Finite Volume Method of Computational Fluid Dynamics. The effects of related parameters as Reynolds number and pulsating frequency on the fluid flow and heat transfer characteristics have been numerically analyzed. Increasing the Cu nanoparticle volume ratio gets the heat transfer better than of all. © 2021 Gheorghe Asachi Technical University of Iasi, Romania. All rights reserved.