2017
DOI: 10.1016/j.ijheatmasstransfer.2016.09.085
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A numerical model for transient simulation of porous wicked heat pipes by lattice Boltzmann method

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Cited by 20 publications
(4 citation statements)
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“…ℛ 1 and ℛ 2 are radii of curvature of the free surface in principal directions. The mass flow rate of the liquid, 𝑚 𝑙 ̇, along the heat pipe can be approximated to change linearly in evaporator and condenser regions considering the predictions of prior works (Odabasi, 2014;Chen et al, 2009;Rullière et al, 2007;Hung and Tio, 2012;Elnaggar et al, 2012;Huang and Chen, 2017), while the axial liquid flow rate remains approximately constant in the adiabatic region due to negligible phase change. To this effect, 𝑚 𝑙 ̇ can be expressed as a linear function of the axial coordinate, 𝑧, in the evaporator and condenser.…”
Section: Flow Modelmentioning
confidence: 99%
“…ℛ 1 and ℛ 2 are radii of curvature of the free surface in principal directions. The mass flow rate of the liquid, 𝑚 𝑙 ̇, along the heat pipe can be approximated to change linearly in evaporator and condenser regions considering the predictions of prior works (Odabasi, 2014;Chen et al, 2009;Rullière et al, 2007;Hung and Tio, 2012;Elnaggar et al, 2012;Huang and Chen, 2017), while the axial liquid flow rate remains approximately constant in the adiabatic region due to negligible phase change. To this effect, 𝑚 𝑙 ̇ can be expressed as a linear function of the axial coordinate, 𝑧, in the evaporator and condenser.…”
Section: Flow Modelmentioning
confidence: 99%
“…And 60 percent of three filling ratios, 70 percent, 80 percent of acetone is found to be the more appropriate 60 percent filling ratio is better for heat transfer features in this paper we are considering the multiphase fluid and filling ratio also so I am decided to taken the multi phase nanofluid is AL 2 O 3 and TIO 2 . Huang and Chen [4] The numerical model in this document will be assessed on the basis that the simulation performance of heat pipes is effective. The wick is modeled as a fully thawed porous medium in which the impacts of fluid flow and fluid non-flow are known.…”
Section: Nano Fluidmentioning
confidence: 99%
“…The last one is conjugate natural convection in a fluid-saturated porous cavity with a hot triangular thick wall [3], which can demonstrate the simplicity and effectiveness of the present model for complicated conjugate interfaces. The choice of validation benchmark with simple configuration can avoid unexpected numerical errors which will hamper the assessment for a new numerical approach, so for all recent open work of developing new LB models for conjugate heat transfer simulation and porous media modelling [22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37], the test cases adopted for numerical validation are characterized by simple configuration. For conjugate natural convection, fluid flow should be modelled simultaneously.…”
Section: Numerical Validationmentioning
confidence: 99%
“…During the past three decades, the lattice Boltzmann (LB) method has attracted increasing attention due to its some intrinsic advantages, such as relatively easy treatment of complicated geometry, high parallel computing efficiency and capturing interaction between different phases at a mesoscopic level [21]. Until now, the LB method has been widely used to investigate heat and mass transfer in porous media [22][23][24][25]. Especially, as it is a particle-based numerical solver, the LB method can guarantee, automatically, the continuity of a certain macroscopic quantity and of its flux across an arbitrary interface within the investigated domain, if the macroscopic quantity and its flux can be recovered from the zeroth-and first-order moment of the corresponding pseudo-particle distribution function, respectively.…”
Section: Introductionmentioning
confidence: 99%