Author
Marjan Goodarzi
Other affiliations: Duy Tan University, Lamar University, Islamic Azad University ...read more
Bio: Marjan Goodarzi is an academic researcher from King Abdulaziz University. The author has contributed to research in topics: Nanofluid & Heat transfer. The author has an hindex of 48, co-authored 134 publications receiving 6389 citations. Previous affiliations of Marjan Goodarzi include Duy Tan University & Lamar University.
Papers
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TL;DR: In this paper, the effects of nanoparticle concentration, shear and buoyancy forces, and turbulence on flow and thermal behavior of nanofluid flow were studied, and the model predictions for very low solid volume fraction were found to be in good agreement with earlier numerical studies for a base fluid.
270 citations
TL;DR: In this article, the authors made an attempt to cover the latest experimental studies performed on the viscosity of nanofluids and found that the real effects of volume fraction, temperature, particle size, and shape on the viscous properties of nanoparticles can be determined through experiments.
270 citations
TL;DR: The results indicate that the normal internal ribs or turbulators, can significantly enhance the convective heat transfer within a microchannel and illustrate that by increasing the rib's heights and volume fraction of nanoparticles, friction coefficient, heat transfer rate and average Nusselt number of the ribbed-microchannels tend to augment.
218 citations
TL;DR: In this paper, the effects of nanoparticles volume fraction, flow direction and Reynolds number on base fluid, nanofluid and wall temperatures, thermal efficiency, Nusselt number and convection heat transfer coefficient have been studied.
209 citations
TL;DR: In this paper, the authors evaluated the thermohydraulic attributes of a hybrid nanofluid containing graphene-silver nanoparticles in a microchannel heat sink equipped with the ribs and secondary channels.
208 citations
Cited by
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01 Jan 2016
TL;DR: The numerical heat transfer and fluid flow is universally compatible with any devices to read and is available in the authors' digital library an online access to it is set as public so you can get it instantly.
Abstract: Thank you for reading numerical heat transfer and fluid flow. Maybe you have knowledge that, people have search numerous times for their favorite books like this numerical heat transfer and fluid flow, but end up in infectious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some malicious virus inside their computer. numerical heat transfer and fluid flow is available in our digital library an online access to it is set as public so you can get it instantly. Our books collection spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the numerical heat transfer and fluid flow is universally compatible with any devices to read.
1,531 citations
King Mongkut's University of Technology Thonburi1, Ferdowsi University of Mashhad2, Xi'an Jiaotong University3, University of Monastir4, Shahid Beheshti University5, University of Rennes6, Clarkson University7, North Carolina State University8, University of Vermont9, Iran University of Science and Technology10, University of New South Wales11, Royal Society12, Quaid-i-Azam University13, King Abdulaziz University14, University of Tehran15, Babeș-Bolyai University16
TL;DR: A review of the latest developments in modeling of nanofluid flows and heat transfer with an emphasis on 3D simulations can be found in this paper, where the main models used to calculate the thermophysical properties of Nanofluids are reviewed.
659 citations
01 Jan 2016
TL;DR: The principles of enhanced heat transfer is universally compatible with any devices to read and is available in the book collection an online access to it is set as public so you can get it instantly.
Abstract: Thank you very much for reading principles of enhanced heat transfer. As you may know, people have look numerous times for their chosen books like this principles of enhanced heat transfer, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some infectious bugs inside their desktop computer. principles of enhanced heat transfer is available in our book collection an online access to it is set as public so you can get it instantly. Our books collection spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the principles of enhanced heat transfer is universally compatible with any devices to read.
553 citations
TL;DR: In this paper, the authors provide a comprehensive review on thermal conductivity of hybrid nanofluids by overviewing experimental, numerical and ANN (artificial neural networking) studies, and various factors such as nanoparticle type, concentration of nanoparticles, types of base fluid, size of nanoparticle, temperature, addition of surfactant, pH variation and sonication time are analyzed.
437 citations
TL;DR: The experimental results and statistical tests demonstrate that the I-GWO algorithm is very competitive and often superior compared to the algorithms used in the experiments, and the results of the proposed algorithm on the engineering design problems demonstrate its efficiency and applicability.
Abstract: In this article, an Improved Grey Wolf Optimizer (I-GWO) is proposed for solving global optimization and engineering design problems. This improvement is proposed to alleviate the lack of population diversity, the imbalance between the exploitation and exploration, and premature convergence of the GWO algorithm. The I-GWO algorithm benefits from a new movement strategy named dimension learning-based hunting (DLH) search strategy inherited from the individual hunting behavior of wolves in nature. DLH uses a different approach to construct a neighborhood for each wolf in which the neighboring information can be shared between wolves. This dimension learning used in the DLH search strategy enhances the balance between local and global search and maintains diversity. The performance of the proposed I-GWO algorithm is evaluated on the CEC 2018 benchmark suite and four engineering problems. In all experiments, I-GWO is compared with six other state-of-the-art metaheuristics. The results are also analyzed by Friedman and MAE statistical tests. The experimental results and statistical tests demonstrate that the I-GWO algorithm is very competitive and often superior compared to the algorithms used in the experiments. The results of the proposed algorithm on the engineering design problems demonstrate its efficiency and applicability.
398 citations