Institution
Celal Bayar University
Education•Magnesia ad Sipylum, Turkey•
About: Celal Bayar University is a education organization based out in Magnesia ad Sipylum, Turkey. It is known for research contribution in the topics: Population & Heat transfer. The organization has 2960 authors who have published 6024 publications receiving 100646 citations.
Topics: Population, Heat transfer, Nanofluid, Nonlinear system, Medicine
Papers published on a yearly basis
Papers
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TL;DR: Monthly water consumption time series have been predicted using a series of Artificial Neural Network techniques including Generalized Regression Neural Networks (GRNN), Cascade Correlation Neural Network (CCNN) and Feed Forward Neural networks (FFNN).
103 citations
TL;DR: In this article, a Taylor matrix method was used to approximate the multi-pantograph equation with nonhomogenous term in terms of Taylor polynomials, and the results were discussed.
103 citations
TL;DR: The pH optimum for artichoke PPO was found to be a very broad and the enzyme activity was stable in the range 6.0–7.0 and the most effective inhibitor was dithiothreitol, followed in decreasing order by sodium metabisulphide and ascorbic acid.
103 citations
TL;DR: By solving the matrix equation, Legendre coefficients and polynomial approach are obtained by solving high-order Linear Fredholm integro-differential equations under the mixed conditions in terms of Legendre polynomials.
103 citations
TL;DR: In this article, the effects of the Grashof number, Hartmann number, angular rotational speed of the cylinder and volume fraction of the nanoparticle on fluid flow and heat transfer are investigated numerically.
Abstract: MHD mixed convection of Cu–water nanofluid filled triangular enclosure with a rotating cylinder is investigated numerically. A partial heater is added on the left vertical wall of the cavity and the right inclined wall is kept at constant temperature. Other walls of the triangular cavity and cylinder surface are assumed to be adiabatic. The governing equations are solved using the finite element method. The effects of the Grashof number, Hartmann number, angular rotational speed of the cylinder and volume fraction of the nanoparticle on fluid flow and heat transfer are investigated numerically. The second law of thermodynamics is also applied to the flow and heat transfer corresponding to different combinations of parameters. It is observed that with increasing the Hartmann number the total entropy generation, local and averaged heat transfer decrease. Averaged Nusselt number increases with the Grashof number. Averaged heat transfer and total entropy generation increase with increase in the angular rotational speed of the cylinder. 50.4% and 37.4% of heat transfer enhancements are obtained for ω = 20 and ω = −20 compared to motionless cylinder ω = 0. Heat transfer and total entropy generation increase as the solid volume fraction of nanoparticle increases.
103 citations
Authors
Showing all 3053 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Michael Berk | 116 | 1284 | 57743 |
| G. Raven | 114 | 1879 | 71839 |
| Tjeerd Ketel | 99 | 1067 | 46335 |
| Francesco Dettori | 95 | 1026 | 41313 |
| Manuel Schiller | 95 | 1004 | 41734 |
| John A. McGrath | 75 | 631 | 24078 |
| E. Pesen | 50 | 206 | 10958 |
| Devendra Singh | 49 | 314 | 10386 |
| Fatih Selimefendigil | 43 | 178 | 4522 |
| Mehmet Karabacak | 40 | 111 | 3515 |
| Nurullah Akkoc | 38 | 193 | 7626 |
| Daiana Stolz | 38 | 239 | 7708 |
| Menemşe Gümüşderelioğlu | 34 | 136 | 3328 |
| Mehmet Sezer | 34 | 184 | 3543 |
| Mehmet Pakdemirli | 33 | 137 | 3581 |