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Jiangtao Lu

Researcher at Eindhoven University of Technology

Publications -  9
Citations -  150

Jiangtao Lu is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Immersed boundary method & Direct numerical simulation. The author has an hindex of 6, co-authored 9 publications receiving 112 citations.

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Direct Numerical Simulation of Fluid Flow and Mass Transfer in Dense Fluid-particle Systems with Surface Reactions

TL;DR: In this paper, an efficient ghost-cell based immersed boundary method is introduced to perform direct numerical simulation (DNS) of mass transfer problems in particulate flows, which is achieved by implicit incorporation of the boundary conditions into the discretized momentum and species conservation equations of the fluid phase.

Immersed boundary method

TL;DR: In this paper, the authors report the extension of an earlier developed Direct Numerical Simulation (DNS) model to study coupled heat and mass transfer problems in particulate flows, which implicitly incorporates the boundary conditions into the discretized momentum, thermal and species conservation equations of the fluid phase.
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Direct numerical simulation of fluid flow and dependently coupled heat and mass transfer in fluid-particle systems

TL;DR: In this paper, an efficient ghost-cell based immersed boundary method (IBM) is used to perform direct numerical simulation (DNS) of reactive fluid-particle systems, where the heat and mass transport are dependently coupled through the particle thermal energy equation and the Arrhenius equation.
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Moving from momentum transfer to heat transfer – A comparative study of an advanced Graetz-Nusselt problem using immersed boundary methods

TL;DR: In this article, two immersed boundary methods (IBM) are applied to perform direct numerical simulations (DNSs) of heat transfer problems in tubular fluid-particle systems.
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Direct Numerical Simulation of Fluid Flow and Mass Transfer in Particle Clusters

TL;DR: An efficient ghost-cell based immersed boundary method is applied to perform direct numerical simulation (DNS) of mass transfer problems in particle clusters and clustering is found to have negative influence on the mass transfer performance.