2014
DOI: 10.1016/j.ijheatmasstransfer.2013.11.028
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Numerical study of heat transfer enhancement in a pipe filled with porous media by axisymmetric TLB model based on GPU

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Cited by 41 publications
(14 citation statements)
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“…In their study, the free convection flow through an annulus packed with porous media and natural convection in a closed cylindrical annulus filled with porous media were modeled. Later, Rong et al [289] studied heat transfer enhancement in a pipe filled with porous media by using their axisymmetric DDF-LB model based on the graphics processing unit (GPU). As shown in Fig.…”
Section: Rev-scale Single-phase Heat Transfermentioning
confidence: 99%
“…In their study, the free convection flow through an annulus packed with porous media and natural convection in a closed cylindrical annulus filled with porous media were modeled. Later, Rong et al [289] studied heat transfer enhancement in a pipe filled with porous media by using their axisymmetric DDF-LB model based on the graphics processing unit (GPU). As shown in Fig.…”
Section: Rev-scale Single-phase Heat Transfermentioning
confidence: 99%
“…They utilized the finite difference Crank-Nicolson scheme and the local one-dimensional approach for the model formulation intended for the use on GPUs. Rong et al (2014) developed a three-dimensional parallel heat transfer model for the calculation of fluid flow and heat transfer characteristics in a pipe with embedded porous media. Ansoni et al (2015) investigated the acceleration of the inverse heat transfer problem by means of parallel computing with the use of GPUs and multi-core CPUs.…”
Section: A Brief Overview On Gpusmentioning
confidence: 99%
“…A cylindrical vessel packed with solid desiccant particles represents a simple case of a pipe with porous media insert 10 . For a duct partially filled with porous media, forced convection is found to potentially enhance the heat transfer rate with the pressure drop much less than that of a duct fully filled with porous medium 11,12 .…”
Section: Greek Lettersmentioning
confidence: 99%