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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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FREE CONVECTION AND ENTROPY GENERATION IN A CuO/WATER NANOFLUID-FILLED TRIANGULAR CHANNEL WITH SINUSOIDAL WALLS

Volumen 50, Edición 11, 2019, pp. 1043-1059
DOI: 10.1615/HeatTransRes.2018028289
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SINOPSIS

The fluid flow, heat transfer, and entropy generation due to natural convection phenomenon in a fluid channel are investigated. The configuration of the channel is triangular. Moreover, the bottom and right walls are sinusoidal. The channel contains some circular bodies of constant high and low temperatures which serve as simplified fluid injection pipes. The channel is filled with CuO-water nanofluid; the Brownian motion and its influences on the dynamic viscosity are considered using the Koo-Kleinstreuer-Li (KKL) model. The effect of the shape of nanoparticles on the thermal conductivity is studied using shape factor. The finite volume method is employed to simulate natural convection. The Rayleigh number (103 < Ra < 106), solid volume fraction of nanofluid (φ = 0, 0.01, 0.02, 0.03, and 0.04), and thermal arrangements of internal pipes (Case A, Case B, Case C, and Case D) are considered as governing parameters. Impact of these governing parameters on the streamlines, heat transfer rate, local and total entropy generation and heatlines are studied, comprehensively. Overall, the results show that the heat transfer rate has direct relationship with the Rayleigh number and nanoparticle concentration. On the other hand, the entropy generation has direct and reverse relationship with the Rayleigh number and nanoparticle concentration.

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CITADO POR
  1. Hejri Saeid, Malekshah Emad Hasani, Cooling of an electronic processor based on numerical analysis on natural convection and entropy production over a dissipating fin equipped with copper oxide/water nanofluid with Koo-Kleinstreuer-Li model, Thermal Science and Engineering Progress, 23, 2021. Crossref

  2. Aqeel Ashraf Muhammad, Liu Zhenling, Hasani Malekshah Emad, Kolsi Lioua, Kadhim Hussein Ahmed, Coupling of BGK lattice Boltzmann method and experimental rheological/thermal behavior of Al2O3–oil nanolubricant for modeling of a finned thermal storage, International Journal of Numerical Methods for Heat & Fluid Flow, 32, 8, 2022. Crossref

  3. Rooman Muhammad, Jan Muhammad Asif, Shah Zahir, Alhawael Ghadah, Iqbal Shahid, Entropy optimization in hybrid radiative nanofluid flow with effect of variable magnetic field over exponential stretching plate, Waves in Random and Complex Media, 2022. Crossref

  4. Roja A., Gireesha B. J., Flow and heat transfer analysis of MHD third‐grade fluid flow through a vertical microchannel subjected to entropy generation, Heat Transfer, 2022. Crossref

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