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S. Mohammad Mousavi

Researcher at Lappeenranta University of Technology

Publications -  6
Citations -  166

S. Mohammad Mousavi is an academic researcher from Lappeenranta University of Technology. The author has contributed to research in topics: Fluid dynamics & Large eddy simulation. The author has an hindex of 4, co-authored 6 publications receiving 148 citations. Previous affiliations of S. Mohammad Mousavi include Sharif University of Technology.

Papers
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Proceedings ArticleDOI

Simulation of Fluid Flow Through a Granular Bed

TL;DR: In this paper, the dispersion coefficients of a fluid through random packing of non-overlapping spheres in a cylindrical geometry are investigated and the results compare to the previous work (Soleymani et al., 2002).
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Multiscale modeling of fluid turbulence and flocculation in fiber suspensions

TL;DR: In this paper, a multiscale modeling methodology capable of coupling behaviors from the Kolmogorov turbulence scale through the full scale system in which a fiber suspension is flowing is presented.
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Large Eddy Simulations of a Brine-Mixing Tank

TL;DR: In this paper, large-eddy simulations of a turbulent flow in a solid-liquid, baffled, cylindrical mixing vessel with a large number of solid particles are performed to obtain insight into the fundamental aspects of a mixing tank.
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Computer simulation of flocs interactions: Application in fiber suspension

TL;DR: In this article, a multiscale modeling, simulation methodology for investigating complex phenomena arising from flowing fiber suspensions was developed. Specific consideration was given to dynamic simulations of viscoelastic fibers in which the fluid flow is predicted by a method that is a hybrid between Direct Numerical Simulations (DNS) and Large Eddy Simulation techniques (LES), and fluid fibrous structure interactions (FSI).
Proceedings ArticleDOI

Large Eddy Simulations of a Brine-Mixing Tank

TL;DR: In this paper, large-eddy simulations of a turbulent flow in a solid-liquid, baffled, cylindrical mixing vessel with a large number of solid particles are performed to obtain insight into the fundamental aspects of a mixing tank.