2022
DOI: 10.1007/s12217-022-09940-9
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Moderate Prandtl Number Nanofluid Thermocapillary Convection Instability in Rectangular Cavity

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Cited by 7 publications
(2 citation statements)
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“…Steady-state Numerical investigations on thermocapillary-buoyancy convection were carried out by previous researchers [22][23][24], these computation results indicate that the nanoparticles can influence the flow pattern and heat transfer of thermocapillarybuoyancy convection. Zhou et al [25,26] first reported the oscillation characteristics and evolution process of large and moderate Prandtl number nanofluid thermocapillary convection. Abdullah et al [27] analyzed the linear stability of its nanofluid Marangoni convection in a thin liquid layer under vertical temperature gradient.…”
Section: Introductionmentioning
confidence: 99%
“…Steady-state Numerical investigations on thermocapillary-buoyancy convection were carried out by previous researchers [22][23][24], these computation results indicate that the nanoparticles can influence the flow pattern and heat transfer of thermocapillarybuoyancy convection. Zhou et al [25,26] first reported the oscillation characteristics and evolution process of large and moderate Prandtl number nanofluid thermocapillary convection. Abdullah et al [27] analyzed the linear stability of its nanofluid Marangoni convection in a thin liquid layer under vertical temperature gradient.…”
Section: Introductionmentioning
confidence: 99%
“…Under microgravity conditions, the finite volume method was applied to calculate in the liquid bridge with various volume ratios to determine the dynamic evolution of temperature disturbance during the beginning of oscillation instability. Zhou et al [29,30] conducted a numerical study on the thermocapillary convection of nanofluids with medium and large Prandtl numbers in a rectangular cavity. The critical temperature difference of the unsteady flow is obtained via varying the thermal gradient, and the influence of the volume fraction of nanoparticles on the critical temperature gradient is analyzed.…”
Section: Introductionmentioning
confidence: 99%