A Smoothed Particle Hydrodynamics approach for thermo-capillary flows

Hopp‐Hirschler, Manuel; Shadloo, Mostafa Safdari; Nieken, Ulrich

doi:10.1016/j.compfluid.2018.09.010

Cited by 84 publications

(50 citation statements)

References 65 publications

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“…This emanates from the fact that a nanofluid flow involves higher shear stress due to more dynamic viscosity in comparison with the base fluid flow. In keeping with the findings of other thermohydraulic studies of nanofluid flows [42][43][44][45][46] and those on other types of fluids [47][48][49][50], the power demand grows for the cases of higher heat transfer.…”

Section: Resultssupporting

confidence: 72%

Analysis of unsteady mixed convection of Cu–water nanofluid in an oscillatory, lid-driven enclosure using lattice Boltzmann method

Ardalan

Alizadeh

Fattahi

et al. 2020

J Therm Anal Calorim

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The unsteady physics of laminar mixed convection in a lid-driven enclosure filled with Cu-water nanofluid is numerically investigated. The top wall moves with constant velocity or with a temporally sinusoidal function, while the other walls are fixed. The horizontal top and bottom walls are, respectively, held at the low and high temperatures, and the vertical walls are assumed to be adiabatic. The governing equations along with the boundary conditions are solved through D2Q9 fluid flow and D2Q5 thermal lattice Boltzmann network. The effects of Richardson number and volume fractions of nanoparticles on the fluid flow and heat transfer are investigated. For the first time in the literature, the current study considers the mechanical power required for moving the top wall of the enclosure under various conditions. This reveals that the power demand increases if the enclosure is filled with a nanofluid in comparison with that with a pure fluid. Keeping a constant heat transfer rate, the required power diminishes by implementing a temporally sinusoidal velocity on the top wall rather than a constant velocity. Reducing frequency of the wall oscillation leads to heat transfer enhancement. Similarly, dropping Richardson number and raising the volume fraction of the nanoparticles enhance the heat transfer rate. Through these analyses, the present study provides a physical insight into the less investigated problem of unsteady mixed convection in enclosures with oscillatory walls. Keywords Mixed convection • Cu-water nanofluid • Sinusoidal lid-driven enclosure • Unsteady heat transfer • Lattice Boltzmann method List of symbols AR Aspect ratio c p (J kg −1 K −1) Specific heat at constant pressure F Volumetric force f (x, t) Momentum distribution function G(x, t) Temperature distribution function Gr Grashof number g (m s −2) Gravitational acceleration H (m) Height h (W m −2 K −1) Heat convection coefficient k (W m −1 K −1) Thermal conductivity Nu Nusselt number p (Pa) Fluid pressure Pr Prandtl number Re Reynolds number Ri Richardson number T (K) Temperature t (s) Time u (m s −1) Velocity component along x v (m s −1) Velocity component along y * Nader Karimi

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Section: Resultssupporting

confidence: 72%

Analysis of unsteady mixed convection of Cu–water nanofluid in an oscillatory, lid-driven enclosure using lattice Boltzmann method

Ardalan

Alizadeh

Fattahi

et al. 2020

J Therm Anal Calorim

View full text Add to dashboard Cite

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“…It is possible to improve the heat transfer rate of the fluids by flow geometry or boundary conditions improvement as well as improve the thermophysical properties of the fluid such as the thermal conductivity coefficient. One of the most desirable ways of thermal conductivity coefficient enhancement of the base fluid is adding fine solid particles to the base fluid [1][2][3][4][5][6][7][8][9]. It could also be improved using a porous medium in the channel [10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Nanoparticle Shape and Microchannel Geometry on Fluid Flow and Heat Transfer in a Porous Microchannel

2020

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Microchannels are widely used in electrical and medical industries to improve the heat transfer of the cooling devices. In this paper, the fluid flow and heat transfer of water–Al2O3 nanofluids (NF) were numerically investigated considering the nanoparticle shape and different cross-sections of a porous microchannel. Spherical, cubic, and cylindrical shapes of the nanoparticle as well as circular, square, and triangular cross-sections of the microchannel were considered in the simulation. The finite volume method and the SIMPLE algorithm have been employed to solve the conservation equations numerically, and the k-ε turbulence model has been used to simulate the turbulence fluid flow. The models were simulated at Reynolds number ranging from 3000 to 9000, the nanoparticle volume fraction ranging from 1 to 3, and a porosity coefficient of 0.7. The results indicate that the average Nusselt number (Nuave) increases and the friction coefficient decreases with an increment in the Re for all cases. In addition, the rate of heat transfer in microchannels with triangular and circular cross-sections is reduced with growing Re values and concentration. The spherical nanoparticle leads to maximum heat transfer in the circular and triangular cross-sections. The heat transfer growth for these two cases are about 102.5% and 162.7%, respectively, which were obtained at a Reynolds number and concentration of 9000 and 3%, respectively. However, in the square cross-section, the maximum heat transfer increment was obtained using cylindrical nanoparticles, and it is equal to 80.2%.

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“…The definition of sloshing in the hydrodynamic area [1][2][3] (motion of freeboard of liquid) comes from standing waves formed on the free surface of a liquid when a tank contended with liquid oscillates. Indeed, the dynamic behavior of the bilateral sloshing or motion of the freeboard of liquid can be changed based on the flexibility of tanks.…”

Section: Introductionmentioning

confidence: 99%

Numerical Modeling of Sloshing Frequencies in Tanks with Structure Using New Presented DQM-BEM Technique

et al. 2020

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The sloshing behavior of systems is influenced by different factors related to the liquid level and tank specifications. Different approaches are applicable for the assessment of sloshing behavior in a tank. In this paper, a new numerical model based on the differential quadrature method and boundary element approaches is adopted to investigate the sloshing behavior of a tank with an elastic thin-walled beam. The model is developed based on small slope considerations of the free surface. The main assumption of fluid modeling is homogeneity, isotropy, inviscid, and only limited compressibility of the liquid. Indeed, the formulation is represented based on the reduced-order method and then is employed for simulating the coupling between structure and fluid in symmetric test cases. The results are verified with the ANSYS and literature for symmetric rigid structural walls and then the code is employed to study the behavior of fluid-structure interaction in a symmetric tank with new and efficient immersed structure.

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A Smoothed Particle Hydrodynamics approach for thermo-capillary flows

Cited by 84 publications

References 65 publications

Analysis of unsteady mixed convection of Cu–water nanofluid in an oscillatory, lid-driven enclosure using lattice Boltzmann method

Analysis of unsteady mixed convection of Cu–water nanofluid in an oscillatory, lid-driven enclosure using lattice Boltzmann method

The Effect of Nanoparticle Shape and Microchannel Geometry on Fluid Flow and Heat Transfer in a Porous Microchannel

Numerical Modeling of Sloshing Frequencies in Tanks with Structure Using New Presented DQM-BEM Technique

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