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Heat Transfer Research

Publicado 18 números por año

ISSN Imprimir: 1064-2285

ISSN En Línea: 2162-6561

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.4 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00072 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.43 SJR: 0.318 SNIP: 0.568 CiteScore™:: 3.5 H-Index: 28

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NUMERICAL INVESTIGATION OF TURBULENT NANOFLUID FLOW AND TWO-DIMENSIONAL FORCED-CONVECTION HEAT TRANSFER IN A SINUSOIDAL CONVERGING-DIVERGING CHANNEL

Volumen 50, Edición 7, 2019, pp. 671-695
DOI: 10.1615/HeatTransRes.2018025937
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SINOPSIS

The purpose of this research is to numerically simulate turbulent flow and forced-convection heat transfer of a water/CuO nanofluid in a sinusoidal converging-diverging channel. In the present study, the effects of some parameters such as Reynolds number in the range 4000 ≤ Re ≤ 20,000, volume fraction of nanoparticles in the range 1% ≤ φ ≤ 4%, and the wavelength in the range 0.2 m ≤ λ ≤ 1 m on velocity, temperature, and pressure contours, Nusselt number, friction factor, and also the velocity and temperature profiles in various cross sections of the channel have been investigated. The simulations were done by the finite volume method in a 2D space in Cartesian coordinates. The obtained results indicate that on increase of the volume fraction of solid nanoparticles with the use of wavy walls, the heat transfer rate rises significantly. The presence of sinusoidal walls compared with flat ones is accompanied by a higher friction factor and pressure drop. By increasing the Reynolds number, the axial velocity of flow increases 5 times, the Nusselt number increases by 94%, and the friction factor reduces by almost 2.5 times. By increasing the wavelength from 0.2 to 1 m, the heat transfer area is reduced and the conduction heat transfer coefficient is reduced due to the reduced flow velocity and temperature gradient on the channel walls as the thickness of the velocity and thermal boundary layers rises resulting in reduced Nusselt number and heat transfer rate. Based on the contours of the axial flow velocity at the end of the converging section of the channel, the flow distribution is no longer uniform and the flow velocity is continuously changing and at the center of the channel (channel neck), when the volume fraction is raised from 1 to 4%, the flow velocity increased by 25%. By increasing the wavelength of the wall, the axial velocity of flow and Nusselt number are reduced by almost 85% and 91%, respectively. Also, by increasing the volume fraction of nanoparticles, the axial velocity of flow and Nusselt number are increased nominally.

CITADO POR
  1. Ahmadi Behrooz, Golneshan Ali Akbar, Arasteh Hossein, Karimipour Arash, Bach Quang-Vu, Energy and exergy analysis and optimization of a gas turbine cycle coupled by a bottoming organic Rankine cycle, Journal of Thermal Analysis and Calorimetry, 141, 1, 2020. Crossref

  2. Arasteh Hossein, Mashayekhi Ramin, Goodarzi Marjan, Motaharpour S. Hossein, Dahari Mahidzal, Toghraie Davood, Heat and fluid flow analysis of metal foam embedded in a double-layered sinusoidal heat sink under local thermal non-equilibrium condition using nanofluid, Journal of Thermal Analysis and Calorimetry, 138, 2, 2019. Crossref

  3. Chamkha Ali J., Dogonchi A. S., Ganji D. D., Magneto-hydrodynamic flow and heat transfer of a hybrid nanofluid in a rotating system among two surfaces in the presence of thermal radiation and Joule heating, AIP Advances, 9, 2, 2019. Crossref

  4. Li Yicheng, Hosseini Mirollah, Arasteh Hossein, Toghraie Davood, Rostami Sara, Transition simulation of two-phase intermittent slug flow characteristics in oil and gas pipelines, International Communications in Heat and Mass Transfer, 113, 2020. Crossref

  5. Adhikari R.C., Wood D.H., Pahlevani M., An experimental and numerical study of forced convection heat transfer from rectangular fins at low Reynolds numbers, International Journal of Heat and Mass Transfer, 163, 2020. Crossref

  6. Hu Xiao, Deng Zigang, Zhang Jiwang, Zhang Weihua, Effect of tracks on the flow and heat transfer of supersonic evacuated tube maglev transportation, Journal of Fluids and Structures, 107, 2021. Crossref

  7. Baghel Devesh Kumar, Sinha Shobha Lata, Dewangan Satish Kumar, Numerical assessment of heat transfer coefficient for preterm infant nursed under a radiant warmer, Heat Transfer, 50, 5, 2021. Crossref

  8. Fadodun Olatomide Gbenga, Amosun Adebimpe Amos, Olaloye David Oluwatosin, Numerical modeling of entropy production in Al2O3/H2O nanofluid flowing through a novel Bessel-like converging pipe, International Nano Letters, 11, 2, 2021. Crossref

  9. Fadodun Olatomide G., Olatinwo Adenike, Amosun Adebimpe A., Olukotun Stephen F., Owojori Adefope A., Ojo Michael T., Optimization of heat transfer performance of CuO/H 2 O nanofluid in Bessel‐like converging pipe using a two‐phase mixture model , Heat Transfer, 51, 8, 2022. Crossref

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