Thermal conductivity and specific heat capacity measurements of Al2O3 nanofluids
By B. Barbes, R. Páramo, E. Blanco, M. Pastoriza-Gallego, M. M. Piñeiro, Jose Luis Legido, C. Casanova. Journal of Thermal Analysis and Calorimetry, 2012
142 citations recorded by the source corpus.
Thermal conductivities and specific heat capacities of nanoparticles of Al2O3 dispersed in water and ethylene glycol as a function of the particle volume fraction and at temperatures between 298 and 338 K were measured. The steady-state coaxial cylinders method, using a C80D microcalorimeter (Setaram, France) equipped with special calorimetric vessels, was used for the thermal conductivities measurements. The heat capacities were measured with a Micro DSC II microcalorimeter (Setaram, France) with batch cells designed in our laboratory and the “scanning or continuous method.” The Hamilton–Crosser model properly accounts for the thermal conductivity of the studied nanofluids. Assuming that the nanoparticles and the base fluid are in thermal equilibrium, the experimental specific heat capacities of nanofluids are correctly justified.
Subfields: Biomedical Engineering, Materials Chemistry, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/efd88baf7ab5cc78dee2c6ce22a12a7053c1f57f
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In Biomedical Engineering
- Masoud Afrand
- Davood Toghraie
- Arash Karimipour
- M. Hemmat Esfe
- Mohammad Kazem Akbari
- Somchai Wongwises
- Seyfolah Saedodin
- Wei‐Mon Yan
In Materials Chemistry
- Masoud Afrand
- Davood Toghraie
- Arash Karimipour
- M. Hemmat Esfe
- Mohammad Kazem Akbari
- Somchai Wongwises
In Mechanical Engineering
- Masoud Afrand
- Davood Toghraie
- Arash Karimipour
- M. Hemmat Esfe
- Mohammad Kazem Akbari
- Somchai Wongwises
- Seyfolah Saedodin
- Wei‐Mon Yan
Citations in the corpus
- Applicability of artificial neural network and nonlinear regression to predict thermal conductivity modeling of Al2O3–water nanofluids using experimental data (2015, background): “[8] experimentally investigated the thermal conductivity and specific heat capacity of Al2O3–water and Al2O3–ethylene glycol (EG).”
- An experimental study on the effect of diameter on thermal conductivity and dynamic viscosity of Fe/water nanofluids (2015, background): “A literature survey reveals that thermophysical properties of nanofluids depend on various factors such as volume fraction [1, 2], temperature [3–5], nanoparticle material [6, 7], nanoparticle size [8–10], effect of particle shape/aspect ratio [11, 12], pH [7], and nature of base fluid [13–15], etc.”
- Experimental determination of thermal conductivity and dynamic viscosity of Ag–MgO/water hybrid nanofluid (2015, background): “Several theories have been presented by a number of researchers in order to explain the thermal conductivity enhancement, such as heat transfer due to Brownian motion of particles in nanofluids [4,5,18] and formation of interfacial layer around the nanoparticles [6].”
- Thermal conductivity and specific heat capacity measurements of CuO nanofluids (2013, unknown): “The method was also described in a previous work [38], and measurements have a relative uncertainty of 0.”