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Computational Thermal Sciences: An International Journal

Publication de 6  numéros par an

ISSN Imprimer: 1940-2503

ISSN En ligne: 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

ENTROPY ANALYSIS ON TITANIUM MAGNETO-NANOPARTICLES SUSPENDED IN WATER-BASED NANOFLUID: A NUMERICAL STUDY

Volume 8, Numéro 5, 2016, pp. 457-468
DOI: 10.1615/ComputThermalScien.2016017754
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RÉSUMÉ

In this article, entropy generation on titanium magneto-nanoparticles suspended in water-based nanofluid through a porous medium has been investigated. The water-based nanofluid has TiO2 magneto-nanoparticles of cylindrical shape. Entropy generation is also taken into account. The governing problem consists of energy, linear momentum, and entropy equation, which is simplified with the help of similarity transformation variables. Numerical solution has been obtained for the resulting non-linear coupled partial differential equations by means of the successive linearization method (SLM) and Chebyshev spectral collocation method (CSCM). The impact of all the physical parameters such as Hartmann number, porosity parameter, suction parameter, nanoparticle volume fraction, Prandtl number, Brinkmann number, and Reynolds number is demonstrated graphically. In particular, we discuss their effects on velocity, temperature, and entropy profile. Moreover, the expression for skin friction coefficient and local Nusselt number are also presented with the help of a table.

CITÉ PAR
  1. Dogonchi A.S., Alizadeh M., Ganji D.D., Investigation of MHD Go-water nanofluid flow and heat transfer in a porous channel in the presence of thermal radiation effect, Advanced Powder Technology, 28, 7, 2017. Crossref

  2. Dogonchi A S, Ganji D D, Effect of Cattaneo–Christov heat flux on buoyancy MHD nanofluid flow and heat transfer over a stretching sheet in the presence of Joule heating and thermal radiation impacts, Indian Journal of Physics, 92, 6, 2018. Crossref

  3. Ellahi R., Alamri Sultan Z, Basit Abdul, Majeed A., Effects of MHD and slip on heat transfer boundary layer flow over a moving plate based on specific entropy generation, Journal of Taibah University for Science, 12, 4, 2018. Crossref

  4. Ijaz Khan M., Alsaedi A., Qayyum Sumaira, Hayat T., Imran Khan M., Entropy generation optimization in flow of Prandtl–Eyring nanofluid with binary chemical reaction and Arrhenius activation energy, Colloids and Surfaces A: Physicochemical and Engineering Aspects, 570, 2019. Crossref

  5. Hayat T., Sajjad Lahiba, Khan M. Ijaz, Khan M. Imran, Alsaedi A., Salient aspects of thermo-diffusion and diffusion thermo on unsteady dissipative flow with entropy generation, Journal of Molecular Liquids, 282, 2019. Crossref

  6. Haider Sajjad, Butt Adnan Saeed, Imran Syed Muhammad, Ali Asif, Study of entropy generation impacts on magneto-hydrodynamic flow and heat transmission over a contracting surface, SN Applied Sciences, 1, 7, 2019. Crossref

  7. Mabood F., Yusuf T. A., Bognár Gabriella, Features of entropy optimization on MHD couple stress nanofluid slip flow with melting heat transfer and nonlinear thermal radiation, Scientific Reports, 10, 1, 2020. Crossref

  8. Das S., Sarkar S., Jana R.N., Assessment of irreversible losses of non-Newtonian nanofluid flow underlying Hall current, chemical reaction and thermal radiation, World Journal of Engineering, 18, 2, 2021. Crossref

  9. Ellahi R., Sait Sadiq M., Shehzad N., Ayaz Z., A hybrid investigation on numerical and analytical solutions of electro-magnetohydrodynamics flow of nanofluid through porous media with entropy generation, International Journal of Numerical Methods for Heat & Fluid Flow, 30, 2, 2020. Crossref

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