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Heat Transfer Research

年間 18 号発行

ISSN 印刷: 1064-2285

ISSN オンライン: 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

Indexed in

MIXED CONVECTION FLOW AND HEAT TRANSFER IN A LID-DRIVEN CAVITY SUBJECTED TO NANOFLUID: EFFECT OF TEMPERATURE, CONCENTRATION AND CAVITY INCLINATION ANGLES

巻 45, 発行 5, 2014, pp. 453-470
DOI: 10.1615/HeatTransRes.2014007211
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要約

In this work, mixed convection in a lid-driven cavity with an inside heated obstacle at various cavity inclination angles with new formulation of variable properties was studied numerically. The bottom and vertical walls are kept insulated, whereas the top moving wall is maintained at a low temperature Tc. An obstacle of a relatively higher temperature Th is located on the bottom wall of the cavity. The governing equations are discretized using the finite volume method and SIMPLER algorithm. Using a developed code, we accomplished a parametric study and analyzed the influence of important parameters, such as the Richardson number, solid volume fraction of Al2O3 nanoparticles, cavity inclination angles, height of a hot obstacle, and the nanofluid temperature on the thermal behavior and flow characteristics.

によって引用された
  1. Rahmati Ahmad Reza, Rayat Roknabadi Ali, Abbaszadeh Mahmoud, Numerical simulation of mixed convection heat transfer of nanofluid in a double lid-driven cavity using lattice Boltzmann method, Alexandria Engineering Journal, 55, 4, 2016. Crossref

  2. Hemmat Esfe Mohammad, Saedodin Seyfolah, Hasani Malekshah Emad, Babaie Alireza, Rostamian Hadi, Mixed convection inside lid-driven cavities filled with nanofluids, Journal of Thermal Analysis and Calorimetry, 135, 1, 2019. Crossref

  3. Zhang Kun, Wang Liangbi, Zhang Yuwen, Compact Scheme Based on the SIMPLER Algorithm for Steady Incompressible Flow Problems, Journal of Thermophysics and Heat Transfer, 33, 1, 2019. Crossref

  4. Alawi Omer A., Mallah A. R., Kazi S. N., Covalently functionalized pentaethylene glycol-thermally treated graphene towards enhanced thermophysical and heat transfer characteristics, Journal of Thermal Analysis and Calorimetry, 140, 2, 2020. Crossref

  5. Hemmat Esfe Mohammad, Afrand Masoud, Esfandeh Saeed, Investigation of the effects of various parameters on the natural convection of nanofluids in various cavities exposed to magnetic fields: a comprehensive review, Journal of Thermal Analysis and Calorimetry, 140, 5, 2020. Crossref

  6. Hemmat Esfe Mohammad, Taghavi Khalil Abad Amir, Fouladi Masoumeh, Effect of suspending optimized ratio of nano-additives MWCNT-Al2O3 on viscosity behavior of 5W50, Journal of Molecular Liquids, 285, 2019. Crossref

  7. Moshfeghi Roozbeh, Toghraie Davood, An analytical and statistical review of selected researches in the field of estimation of rheological behavior of nanofluids, Powder Technology, 398, 2022. Crossref

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2854 記事の閲覧数 24 記事のダウンロード 7 Crossref 引用数 Google
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