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Heat Transfer Research

Published 18 issues per year

ISSN Print: 1064-2285

ISSN Online: 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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Experimental Study on Thermal Conductivity and Viscosity of Water-Based Nanofluids

Volume 41, Issue 3, 2010, pp. 339-351
DOI: 10.1615/HeatTransRes.v41.i3.100
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ABSTRACT

Thermal conductivity and viscosity of deionized water-based TiO2, SiO2, and Al2O3 nanofluids were investigated for various volume fractions of nanoparticles content and at different temperatures. A 3ω technique was developed for measuring thermal conductivity of nanofluids. The theory and the experimental setup of the 3ω measuring system is explained; a conductive wire is used as both heater and sensor in this system. At first, the system is calibrated using water with known thermophysical properties. Measured results showed that the effective thermal conductivity of nanofluids increases as the concentration of the particles increases but not anomalously as indicated in the majority of the literature and this enhancement is very close to the Hamilton-Crosser model; also this increase is independent of the temperature. The effective viscosities of these nanofluids increase by the increasing particle concentration and decrease with an increase in temperature, and cannot be predicted by the Einstein model.

CITED BY
  1. Puliti Gianluca, Paolucci Samuel, Sen Mihir, Nanofluids and Their Properties, Applied Mechanics Reviews, 64, 3, 2011. Crossref

  2. Edalati Z., Zeinali Heris S., Noie S.H., The study of laminar convective heat transfer of CuO/water nanofluid through an equilateral triangular duct at constant wall heat flux, Heat Transfer-Asian Research, 41, 5, 2012. Crossref

  3. Kleinstreuer Clement, Li Jie, Feng Yu, Computational Analysis of Enhanced Cooling Performance and Pressure Drop for Nanofluid Flow in Microchannels, in Nanoparticle Heat Transfer and Fluid Flow, 20124236, 2012. Crossref

  4. Paolucci Samuel, Puliti Gianluca, Properties of Nanofluid, in Heat Transfer Enhancement with Nanofluids, 2015. Crossref

  5. Akbari Mohammad, Afrand Masoud, Arshi Ali, Karimipour Arash, An experimental study on rheological behavior of ethylene glycol based nanofluid: Proposing a new correlation as a function of silica concentration and temperature, Journal of Molecular Liquids, 233, 2017. Crossref

  6. Singh Rabesh Kumar, Sharma Anuj Kumar, Dixit Amit Rai, Mandal Amitava, Tiwari Arun Kumar, Experimental investigation of thermal conductivity and specific heat of nanoparticles mixed cutting fluids, Materials Today: Proceedings, 4, 8, 2017. Crossref

  7. Yang Liu, Hu Yuhan, Toward TiO2 Nanofluids—Part 1: Preparation and Properties, Nanoscale Research Letters, 12, 1, 2017. Crossref

  8. Loong Tang Tsz, Salleh Hamidon, A review on measurement techniques of apparent thermal conductivity of nanofluids, IOP Conference Series: Materials Science and Engineering, 226, 2017. Crossref

  9. Manay Eyuphan, Mandev Emre, Experimental investigation of mixed convection heat transfer of nanofluids in a circular microchannel with different inclination angles, Journal of Thermal Analysis and Calorimetry, 135, 2, 2019. Crossref

  10. Ali Hafiz, Babar Hamza, Shah Tayyab, Sajid Muhammad, Qasim Muhammad, Javed Samina, Preparation Techniques of TiO2 Nanofluids and Challenges: A Review, Applied Sciences, 8, 4, 2018. Crossref

  11. Bouzerzour Abdeslem, Djezzar Mahfoud, Oztop Hakan F., Tayebi Tahar, Abu-Hamdeh Nidal, Natural convection in nanofluid filled and partially heated annulus: Effect of different arrangements of heaters, Physica A: Statistical Mechanics and its Applications, 538, 2020. Crossref

  12. Azmi W.H., Sharma K.V., Mamat Rizalman, Najafi G., Mohamad M.S., The enhancement of effective thermal conductivity and effective dynamic viscosity of nanofluids – A review, Renewable and Sustainable Energy Reviews, 53, 2016. Crossref

  13. Netzahual-Lopantzi Ángel, Sánchez-Ramírez José Francisco, Jiménez-Pérez José Luis, Cornejo-Monroy Delfino, López-Gamboa Genaro, Correa-Pacheco Zormy Nacary, Study of the thermal diffusivity of nanofluids containing SiO2 decorated with Au nanoparticles by thermal lens spectroscopy, Applied Physics A, 125, 9, 2019. Crossref

  14. Torregrosa Antonio Jose, Broatch Alberto, Olmeda Pablo, Dreif Amin, Assessment of the improvement of internal combustion engines cooling system using nanofluids and nanoencapsulated phase change materials, International Journal of Engine Research, 22, 6, 2021. Crossref

  15. Patra A.K., Nayak M.K., Misra A., Viscosity of nanofluids-A Review, International Journal of Thermofluid Science and Technology, 7, 2, 2020. Crossref

  16. Mercan Hatice, Thermophysical and rheological properties of hybrid nanofluids, in Hybrid Nanofluids for Convection Heat Transfer, 2020. Crossref

  17. Dousti Ahmad, Gharedaghi Hamed, Hanafizadeh Pedram, Ashjaee Mehdi, Different nanofluids effect on bubble characteristics at the isothermal bubble column, The Canadian Journal of Chemical Engineering, 99, S1, 2021. Crossref

  18. Bhaumik Bivas, Changdar Satyasaran, De Soumen, An Expert Model Based on Physics-Aware Neural Network for the Prediction of Thermal Conductivity of Nanofluids, Journal of Heat Transfer, 144, 10, 2022. Crossref

  19. Atgur Vinay, Manavendra G., Banapurmath Nagaraj R., Rao Boggarapu Nageswar, Rajhi Ali A., Khan T. M. Yunus, Vadlamudi Chandramouli, Krishnappa Sanjay, Sajjan Ashok M., Venkatesh R., Essence of Thermal Analysis to Assess Biodiesel Combustion Performance, Energies, 15, 18, 2022. Crossref

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