R
Rachid Bannari
Researcher at Ibn Tofail University
Publications - 33
Citations - 602
Rachid Bannari is an academic researcher from Ibn Tofail University. The author has contributed to research in topics: Computational fluid dynamics & Renewable energy. The author has an hindex of 9, co-authored 29 publications receiving 507 citations. Previous affiliations of Rachid Bannari include Entertainments National Service Association & Université de Sherbrooke.
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Two-phase mass transfer coefficient prediction in stirred vessel with a CFD model
TL;DR: Gas dispersion in a laboratory scale (5 L) stirred bioreactor is modelled using a commercial computational fluid dynamics (CFD) code FLUENT 6.2 to predict spatial distribution of gas hold-up, Sauter mean bubble diameter, gas–liquid mass transfer coefficient and flow structure.
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Three-dimensional mathematical modeling of dispersed two-phase flow using class method of population balance in bubble columns
TL;DR: A model for two-phase flows at high phase fractions with dispersed k – ϵ turbulent model is proposed and coupled with a classes method (CM) for population balance in order to predict bubble’s size distribution in the column.
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Simulation of bubbly flows: Comparison between direct quadrature method of moments (DQMOM) and method of classes (CM)
TL;DR: In this paper, a population balance equation is introduced in the mathematical model to account the effects of bubble size distribution taking account the effect of coalescence and break-up phenomena on the hydrodynamic behaviour of multiphase flow.
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Sentinel-MSI VNIR and SWIR Bands Sensitivity Analysis for Soil Salinity Discrimination in an Arid Landscape
TL;DR: The Sentinel-MSI SWIR bands are excellent candidates for an integration in soil salinity modeling and monitoring at local, regional, and global scales and indicate the limitation of VNIR bands and the potential of SWIR domain for soil salination classes’ discrimination.
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Mass transfer and shear in an airlift bioreactor: Using a mathematical model to improve reactor design and performance
TL;DR: In this article, a mathematical model using computational fluid dynamics (CFD) techniques is used to study the gas-liquid dispersion in an air-lift reactor, where multiple rotating frame (MRF) technique was used to approximate the movement of the impeller in the stationary reactor.