Corrigendum to “A lattice Boltzmann algorithm for fluid–solid conjugate heat transfer” [Int. J. Thermal Sci. 46 (3) (2007) 228–234]

Wang, M.; Wang, J.K.; Li, Z.X.

doi:10.1016/j.ijthermalsci.2009.11.003

Cited by 6 publications

(7 citation statements)

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“…It has been mainly used for numerical simulations in fluid mechanics but its application to heat transfer is also gaining momentum. [17][18][19][20] The Traditional CFD techniques solve the macroscopic transport equations of mass, momentum, and energy by directly discretizing them whereas the LBM is a bottom-up approach that uses kinetic equation models and corresponding relations between the actually simulated statistical dynamics at a microscopic level and transport equations at the macroscopic level. Recently, the lattice Boltzmann method (LBM) has been developed to solve effectively the fluid-solid conjugate heat transfer.…”

Section: The Finite Element Methodsmentioning

confidence: 99%

“…Recently, the lattice Boltzmann method (LBM) has been developed to solve effectively the fluid-solid conjugate heat transfer. [20] Indeed, the LBM permits to implement easily the multiple interparticle interactions and the complex geometry boundary conditions and thus it is very interesting for the prediction of the effective thermal conductivities of conventional porous media. Wang et al [20] used this new approach to solve the energy transport equations through a 3-D random porous structure obtained from a generation-growth algorithm.…”

Section: The Finite Element Methodsmentioning

confidence: 99%

“…It permits them to predict the variation of the effective thermal conductivity of this kind of two-phase media. In this study, we use a lattice Boltzmann algorithm similar to the one developed by Wang et al [19,20] Like the FEM, the LBM simulates a slab of foam with perfectly insulated sides that is sandwiched between two slabs of non-porous solid maintained at temperatures T cold and T hot (see Fig. 3).…”

Section: The Finite Element Methodsmentioning

confidence: 99%

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Conductive Heat Transfer in Metallic/Ceramic Open‐Cell Foams

Coquard¹,

Loretz²,

Baillis³

2008

Adv Eng Mater

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During the last decade, solid foams which are characterized by a relatively high porosity (> 80 %), have known a strong development. Indeed, they allow to envisage a substantial improvement of the performance of standard materials in numerous technological fields. Notably, metallic and ceramic foams exhibit thermal, mechanical and exchange properties, which make them very interesting in lots of applications requiring multifunctionality. To illustrate this, we can cite a non-exhaustive list of functions for which they are usually used: ultra light panels, energy absorbing structures, heat dissipation media, electrodes for electric battery, ultrasound deflector, carrying structure for catalyst, medical prosthesis, heat exchanger _. In most of these applications, the knowledge of the thermal transport properties is of primary importance for the dimensioning of the structures. At ambient temperature, the heat transfer in solid foams is dominated by thermal conduction. To quantify the magnitude of heat conduction, one generally uses the effective conductivity k c which implies that the two-phase material behaves like a homogeneous conductive medium. This assumption is rigorously valid when the size of the pores is much lower than the dimensions of the materials, which is the case in solid foams. The effective conductivity depends on the porosity of the foam, the morphology of the material and on the properties of the two-phases. It is particularly difficult to estimate in solid foams due to the complexity of the geometry encountered and to the large difference between the thermal conductivity of fluid and solid phases.Numerous authors proposed empirical, analytical or numerical model depending on the porous morphology and on the conductivity of the phases to estimate the apparent conductivity of this type of materials. A study was conducted by Schuetz and Glicksmann. [2,3] They were interested in the conductivity of polymeric foams whose porous microstructure is very close to that of metallic and ceramic foams. Indeed, these foams are formed of closed or open cells made of cell struts and/or windows. The porosity of these foams is beyond 95 %. They modeled the foam as a network of thermal resistances and made several simplifications of the morphology and of the solution method to compute overestimating and underestimating values of the exact conductivity. These overestimating and underestimating values, given in, [2] are calculated analytically and are related to the conductivity of air and polymer and to morphological parameters:ek fluid 0:8 × 1 À e 2 À f s 3 k solid < k c

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Section: The Finite Element Methodsmentioning

confidence: 99%

Section: The Finite Element Methodsmentioning

confidence: 99%

Section: The Finite Element Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Conductive Heat Transfer in Metallic/Ceramic Open‐Cell Foams

Coquard¹,

Loretz²,

Baillis³

2008

Adv Eng Mater

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“…Although these systems are of micrometer size, the regions that limit heat transfer -interfaces, constrictionsare often characterized by even smaller lengths, bringing heat transfer issues into the domain of nanosciences. Recent interest in heat transport around nanoparticles has arisen in part from the particular properties of the so called "nanofluids" [2,3], i.e. colloidal suspensions of solid nanoparticles, which exhibit improved thermal transport properties.…”

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confidence: 99%

Critical heat flux around strongly heated nanoparticles

et al. 2009

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We study heat transfer from a heated nanoparticle into surrounding fluid using molecular dynamics simulations. We show that the fluid next to the nanoparticle can be heated well above its boiling point without a phase change. Under increasing nanoparticle temperature, the heat flux saturates, which is in sharp contrast with the case of flat interfaces, where a critical heat flux is observed followed by development of a vapor layer and heat flux drop. These differences in heat transfer are explained by the curvature-induced pressure close to the nanoparticle, which inhibits boiling. When the nanoparticle temperature is much larger than the critical fluid temperature, a very large temperature gradient develops, resulting in close to ambient temperature just a radius away from the particle surface. The behavior reported allows us to interpret recent experiments where nanoparticles can be heated up to the melting point, without observing boiling of the surrounding liquid.

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“…With the fluid flow in microchannels, the general heat transfer theories do not hold well during simulation. [ 165 ] The classic Navier–Stokes equations with no slip boundary condition is not adequate in describing microflow regimes. Several modeling methods based on the Boltzmann kinetic model such as lattice Boltzmann method (LBM), Monte Carlo methods, molecular dynamics (MDs), [ 166,167 ] and CFD methods have been used.…”

Section: Modeling and Heat Transfer In Microfluidicsmentioning

confidence: 99%

Microfluidics: Recent Advances Toward Lab‐on‐Chip Applications in Bioanalysis

Sharma

2021

Adv Eng Mater

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Microfluidics is an emerging technology of flow and control of fluids in microscale volume that offers highly specialized solutions to rapid, sensitive, noninvasive analysis and measurements in various engineering applications. When combined with microelectromechanical systems (MEMSs), microfluidics technology has shown remarkable developments in small‐scale devices for biosensing, chemical solutions, and precise detection of particles at a higher rate. MEMS‐inspired microfluidics technology can contribute to the highly sensitive, recyclable, and portable sensing platforms for large‐scale integration devices. In this review, the history and developmental phases occurring in MEMS are detailed. Finally, this review is concluded with future scope and guidelines for enabling the various approaches to overcome the obstacles and the mass commercialization of microfluidic devices. Recent applications of microfluidics in biosensing are also highlighted where research should be focused in the future.

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Corrigendum to “A lattice Boltzmann algorithm for fluid–solid conjugate heat transfer” [Int. J. Thermal Sci. 46 (3) (2007) 228–234]

Cited by 6 publications

References 0 publications

Conductive Heat Transfer in Metallic/Ceramic Open‐Cell Foams

Conductive Heat Transfer in Metallic/Ceramic Open‐Cell Foams

Critical heat flux around strongly heated nanoparticles

Microfluidics: Recent Advances Toward Lab‐on‐Chip Applications in Bioanalysis

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