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Effects of dispersed added Graphene Oxide-Silicon Carbide nanoparticles to present a statistical formulation for the mixture thermal properties

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  • Mahyari, Amirhossein Ansari
  • Karimipour, Arash
  • Afrand, Masoud

Abstract

This study experimentally investigated the preparation method, stability, measurement, and modeling of the thermal conductivity of water/graphene oxide-silicon carbide nanofluid. In this study, the nanofluid was prepared via a two-stage method. Moreover, the SEM and XRD tests were used to investigate surface and atomic structure of nanoparticles. A probe-type ultrasonic stirrer was used to achieve stability and homogenized distribution of particles in the base fluid. Then, the nanofluid stability was assessed using the DLS test. According to the results, the base fluid contained nano-sized particles. Moreover, the thermal conductivity measurement of the hybrid nanofluid was carried out in the temperature and volume concentration ranges of 25–50 °C and 0.05–1 vol%, respectively. The experimental variables were the nanofluid’s temperature and volume concentration. Results showed that the thermal conductivity of the nanofluid increased with increasing volume concentration and temperature. Although nanoparticle concentration has a greater impact than temperature, changes in thermal conductivity are greater at higher temperatures. The greatest increase in thermal conductivity of nanofluid was 33.2% at the concentration of 1 vol% and temperature of 50 °C. To calculate thermal conductivity of this nanofluid, a highly accurate experimental equation was developed using the laboratory data curve fitting method.

Suggested Citation

  • Mahyari, Amirhossein Ansari & Karimipour, Arash & Afrand, Masoud, 2019. "Effects of dispersed added Graphene Oxide-Silicon Carbide nanoparticles to present a statistical formulation for the mixture thermal properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 98-112.
    • Handle: RePEc:eee:phsmap:v:521:y:2019:i:c:p:98-112
    DOI: 10.1016/j.physa.2019.01.035
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    8. Karimipour, Arash & D’Orazio, Annunziata & Goodarzi, Marjan, 2018. "Develop the lattice Boltzmann method to simulate the slip velocity and temperature domain of buoyancy forces of FMWCNT nanoparticles in water through a micro flow imposed to the specified heat flux," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 729-745.
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    4. Ghazvini, Mahyar & Maddah, Heydar & Peymanfar, Reza & Ahmadi, Mohammad Hossein & Kumar, Ravinder, 2020. "Experimental evaluation and artificial neural network modeling of thermal conductivity of water based nanofluid containing magnetic copper nanoparticles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
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