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Computational Thermal Sciences: An International Journal

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ISSN Druckformat: 1940-2503

ISSN Online: 1940-2554

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: 1.5 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 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: 0.3 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: 0.00017 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: 0.28 SJR: 0.279 SNIP: 0.544 CiteScore™:: 2.5 H-Index: 22

Indexed in

NUMERICAL STUDY OF NATURAL CONVECTION HEAT TRANSFER PERFORMANCE IN AN INCLINED CAVITY WITH COMPLEX-WAVY-WALL: NANOFLUID AND RANDOM TEMPERATURE

Volumen 7, Ausgabe 1, 2015, pp. 51-64
DOI: 10.1615/ComputThermalScien.2015013084
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ABSTRAKT

Natural convection of a nanofluid (NF) consisting of water and (Ag or TiO2) in an inclined enclosure cavity has been studied numerically; the left and right walls of the cavity have a complex-wavy geometry and are maintained at a low and high temperature (random temperature, based on the random function), respectively. Meanwhile, the upper and lower walls of the cavity are both flat and insulated. The governing equations are solved numerically using the finite volume. The complex-wavy-surface is modeled as the superimposition of two sinusoidal function approaches. Results are presented in the form of streamlines, isotherms, and average Nusselt number. In addition, a parametric study is carried out to examine explicitly the volume fraction effects of nanoparticles (NPs) (φ = 0.1, 0.2), the Rayleigh number (Ra = 103,104, 105), the inclination angle of the cavity (γ = 0°, 45°, 90°, 135°, 180°), types of temperature (constant, random), types of NF (Ag and TiO2), and the complex-wavy-surface configuration. The results reveal that NPs addition remarkably enhances heat transfer in the cavity, especially for φ = 0.2. Besides, the effect of inclination angle and type of temperature is more pronounced at higher Rayleigh number. Moreover, it is shown that the heat transfer performance can be optimized by tuning the wavy-surface geometry parameters.

REFERENZIERT VON
  1. Bakhti Fatima Zohra, Si-Ameur Mohamed, A comparison of mixed convective heat transfer performance of nanofluids cooled heat sink with circular perforated pin fin, Applied Thermal Engineering, 159, 2019. Crossref

  2. Medebber Mohamed A., Retiel Noureddine, Numerical Study of Natural Convection in a Vertical Cylindrical Partially Annular, Mechanics and Mechanical Engineering, 22, 1, 2018. Crossref

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