TY - JOUR
T1 - Mixed convection heat transfer performance of water-based nanofluids in lid-driven cavity with wavy surfaces
AU - Cho, Ching Chang
AU - Chen, Chieh Li
AU - Chen, Cha'O Kuang
N1 - Funding Information:
The authors would like to thank the National Science Council of the Republic of China, Taiwan , for financially supporting this research under Contract Nos. 101-2221-E-006-092-MY2 and NSC 101-2811-E-006-057. In addition, the authors wish to thank Prof. Nikfar for supplying the source data used in Table 2 for reference purpose.
PY - 2013/6
Y1 - 2013/6
N2 - A numerical investigation is performed into the mixed convection heat transfer characteristics of water-based nanofluids confined within a lid-driven cavity. In modeling the cavity, it is assumed that the left and right walls have a wavy surface, while the upper and lower walls are both flat. In addition, it is assumed that the left wavy-wall has a constant heat flux, the right wavy-wall is maintained at a low temperature, and the upper and lower walls are both insulated and move horizontally. The analysis considers three different nanofluids, namely Cu-water, Al2O3-water and TiO 2-water. In performing the analysis, the governing equations are modeled using the Boussinesq approximation and are solved numerically using the finite-volume method. The simulations focus on the respective effects of the nanoparticle volume fraction, the type of nanofluid, the Richardson number, the Grashof number and the wavy surface geometry parameters on the mean Nusselt number. The results show that for all considered values of the Richardson number, the mean Nusselt number increases with an increasing volume fraction of nanoparticles. In addition, it is shown that the Cu-water nanofluid yields the best heat transfer performance of the three nanofluids. Furthermore, it is shown that the mean Nusselt number increases with an increasing Grashof number given a constant Richardson number. Finally, the results show that for a given nanofluid, the mean Nusselt number can be optimized via an appropriate tuning of the wavy surface geometry parameters.
AB - A numerical investigation is performed into the mixed convection heat transfer characteristics of water-based nanofluids confined within a lid-driven cavity. In modeling the cavity, it is assumed that the left and right walls have a wavy surface, while the upper and lower walls are both flat. In addition, it is assumed that the left wavy-wall has a constant heat flux, the right wavy-wall is maintained at a low temperature, and the upper and lower walls are both insulated and move horizontally. The analysis considers three different nanofluids, namely Cu-water, Al2O3-water and TiO 2-water. In performing the analysis, the governing equations are modeled using the Boussinesq approximation and are solved numerically using the finite-volume method. The simulations focus on the respective effects of the nanoparticle volume fraction, the type of nanofluid, the Richardson number, the Grashof number and the wavy surface geometry parameters on the mean Nusselt number. The results show that for all considered values of the Richardson number, the mean Nusselt number increases with an increasing volume fraction of nanoparticles. In addition, it is shown that the Cu-water nanofluid yields the best heat transfer performance of the three nanofluids. Furthermore, it is shown that the mean Nusselt number increases with an increasing Grashof number given a constant Richardson number. Finally, the results show that for a given nanofluid, the mean Nusselt number can be optimized via an appropriate tuning of the wavy surface geometry parameters.
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U2 - 10.1016/j.ijthermalsci.2013.01.013
DO - 10.1016/j.ijthermalsci.2013.01.013
M3 - Article
AN - SCOPUS:84875363854
SN - 1290-0729
VL - 68
SP - 181
EP - 190
JO - International Journal of Thermal Sciences
JF - International Journal of Thermal Sciences
ER -