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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

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MIXED CONVECTION HEAT TRANSFER IN A DOUBLE LID-DRIVEN INCLINED SQUARE ENCLOSURE SUBJECTED TO Cu−WATER NANOFLUID WITH PARTICLE DIAMETER OF 90 nm

巻 45, 発行 1, 2014, pp. 75-95
DOI: 10.1615/HeatTransRes.2013006947
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要約

In this article, mixed convection flow in a two-sided lid-driven cavity at different inclination angles filled with Cu−water nanofluid (with diameter of 90 nm) is studied numerically using the finite volume method. For different values of solid volume fraction of nanoparticles, flow is induced by the top and right-hand sidewalls sliding at constant speed. The left-hand sidewall is kept constant at higher temperature (Th), while the right moving wall is maintained at a lower temperature (Tc), thereby introducing natural convection. In this study, bottom and top walls were assumed isolated; Richardson number ranged from 0.001 to 10, nanoparticles solid volume fraction (φ) up to 0.06 were investigated, and cavity inclination angle from 0° to 90° was considered and the Grashof number was set to 104. The influence of inclination angle and φ of the nanofluids on hydrodynamic and thermal characteristics is discussed. The results indicated that increase in φ for a constant Ri enhances heat transfer. Also, heat transfer was increased as Ri was decreased for a particular φ. Moreover, where natural convection is dominant (i.e., higher Ri), the flow form seems to be influenced more by φ.

によって引用された
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  2. 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

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  7. Hemmat Esfe Mohammad, Sadati Tilebon Seyyed Mohamad, Statistical and artificial based optimization on thermo-physical properties of an oil based hybrid nanofluid using NSGA-II and RSM, Physica A: Statistical Mechanics and its Applications, 537, 2020. Crossref

  8. Salahi Habib, Sharif Muhammad A. R., Rasouli Saeid, Laminar Mixed Convective Heat Transfer in a Shallow Inclined Lid-Driven Cavity Filled With Nanofluid, Journal of Thermal Science and Engineering Applications, 7, 4, 2015. Crossref

  9. Al-Rashed Abdullah A.A.A., Shahsavar Amin, Akbari Mohammad, Toghraie Davood, Akbari Mohammadreza, Afrand Masoud, Finite Volume Simulation of mixed convection in an inclined lid-driven cavity filled with nanofluids: Effects of a hot elliptical centric cylinder, cavity angle and volume fraction of nanoparticles, Physica A: Statistical Mechanics and its Applications, 527, 2019. Crossref

  10. 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

  11. 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

  12. Tian Zhe, Arasteh Hossein, Parsian Amir, Karimipour Arash, Safaei Mohammad Reza, Nguyen Truong Khang, Estimate the shear rate & apparent viscosity of multi-phased non-Newtonian hybrid nanofluids via new developed Support Vector Machine method coupled with sensitivity analysis, Physica A: Statistical Mechanics and its Applications, 535, 2019. Crossref

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  14. Jabbar Mohammed Y., Hamzah Hameed K., Ali Farooq H., Ahmed Saba Y., Ismael Muneer A., Thermal analysis of nanofluid saturated in inclined porous cavity cooled by rotating active cylinder subjected to convective condition, Journal of Thermal Analysis and Calorimetry, 144, 4, 2021. Crossref

  15. Arani Ali Akbar Abbasian, Alirezaie Ali, Kamyab Mohammad Hassan, Motallebi Sayyid Majid, Statistical analysis of enriched water heat transfer with various sizes of MgO nanoparticles using artificial neural networks modeling, Physica A: Statistical Mechanics and its Applications, 554, 2020. Crossref

  16. Hemmat Esfe Mohammad, Abbasian Arani Ali Akbar, Rezaee Mohammad, Experimental thermal analysis of a turbulent nano enriched water flow in a circular tube, Physica A: Statistical Mechanics and its Applications, 580, 2021. Crossref

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