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ISSN 打印: 1064-2285

ISSN 在线: 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

NUMERICAL INVESTIGATION OF MIXED CONVECTION OF SiO2-WATER NANOFLUIDS WITHIN AN INCLINED DOUBLE LIDS-DRIVEN CAVITY

卷 49, 册 10, 2018, pp. 949-964
DOI: 10.1615/HeatTransRes.2017007503
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摘要

To investigate mixed convection flows through nanofluid in a square double lid-driven cavity with various inclination angles, a numerical method based on the finite volume approach was applied. In this study, a SiO2-water nanofluid was used. The cavity was nonuniformly heated from the left, Th, and cooled from the opposite wall. The top and the bottom moving walls were insulated. The study was conducted for the Richardson number 0.1 to 10, Reynolds number 1 to 100, with solid volume fractions (φ) of nanoparticles being altered from 0 to 0.06. The Patel and Brinkman models were used for calculating thermal conductivity and effective viscosity of the nanofluid, respectively. The impact of Reynolds number, Richardson number, inclination of cavity, and of solid volume fraction of the nanofluid on the hydrodynamic and thermal characteristics were studied and discussed. As a result, it was found that the heat transfer rate increases with solid volume fraction.

对本文的引用
  1. Khodadadi Hosein, Toghraie Davood, Karimipour Arash, Effects of nanoparticles to present a statistical model for the viscosity of MgO-Water nanofluid, Powder Technology, 342, 2019. Crossref

  2. Alsarraf Jalal, Bagherzadeh Seyed Amin, Shahsavar Amin, Rostamzadeh Mahfouz, Trinh Pham Van, Tran Minh Duc, Rheological properties of SWCNT/EG mixture by a new developed optimization approach of LS-Support Vector Regression according to empirical data, Physica A: Statistical Mechanics and its Applications, 525, 2019. Crossref

  3. Alipour Pedram, Toghraie Davood, Karimipour Arash, Investigation the atomic arrangement and stability of the fluid inside a rough nanochannel in both presence and absence of different roughness by using of accurate nano scale simulation, Physica A: Statistical Mechanics and its Applications, 524, 2019. Crossref

  4. Nawafleh Audai S., Taamneh Yazan, Bataineh Khaled, Combined convection heat transfer in a lid driven cavity filled with nanofluids, Heat Transfer, 2022. Crossref

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