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Talib Dbouk

Publications and source records attributed to Talib Dbouk.

3 recordsLinked to original sources

Aerodynamic Drag and Heat Transfer Corrections for Dehydrated Pollen Particles: CFD-Based Modeling of Airborne Allergen Transport in Smart Urban Environments

Airborne pollen transport is a key concern for urban air-quality assessment, allergy-risk forecasting, and smart-city planning. However, conventional dispersion models generally assume smooth spherical particles, neglecting how pollen dehydration alters particle morphology and impacts aerodynamic and thermal behavior. To address this gap, this study presents, for the first time, advanced CFD simulations evaluating the aerodynamic drag forces and convective heat transfer of realistically dehydrated (dry) pollen particles. Investigations are conducted at Reynolds numbers ($0.1 \leq Re_p \leq 15$) at the particle's scale corresponding to realistic atmospheric wind speeds ranging from 0.27 to 30 km/h. The findings reveal that dry pollen particles exhibit drag coefficients 8% to 15% higher than those predicted for hydrated pollen spherical particles. Conversely, their Nusselt numbers are 5% to 15% lower than those for hydrated pollen particles. These considerable deviations confirm that conventional spherical correlations are inadequate for simulating dry pollen Lagrangian transport and evaporation. These findings highlight the need to account for realistic dehydrated shapes when modeling airborne allergen transport in urban environments.

physics.flu-dyn

An Innovative Computational Fluid Dynamics Discrete Dipole Approximation (CFD-DDA) Platform for Predicting Airborne Virus-in-Saliva Disinfection by Ultraviolet Irradiation

All published models of ultraviolet (UV) inactivation of airborne viruses in saliva droplets have neglected UV light scattering. To the best of our knowledge, this work presents the first Computational Fluid Dynamics-Discrete Dipole Approximation (CFD-DDA) platform for investigating the physical mechanisms governing UV disinfection of virus-laden airborne saliva droplets. The DDA solver predicts UV light scattering by both spherical and irregularly shaped saliva droplets, while the CFD solver predicts droplet evaporation and transport in airflow. By coupling the DDA and CFD solvers, we demonstrate that infected saliva droplets, whether spherical or irregularly shaped due to evaporation, experience highly non-uniform UV light scattering that significantly affects virus inactivation and cannot be neglected. This phenomenon has not previously been investigated within a fully three-dimensional framework. The coupled Euler-Lagrange CFD-DDA model further quantifies the effects of (i) the initial droplet size distribution and concentration, (ii) airflow rate, and (iii) droplet interactions with the surrounding airflow and bounding walls on the total number of surviving coronavirus copies $N_s$, assuming a virion diameter of 100 nm, an air temperature of 21 $^{\circ}$C, and a relative humidity of 65%. Based on the DDA results, a new virus inactivation model, referred to as the Dbouk-Yurkin law, is proposed. This model extends the classical Chick-Watson law by explicitly accounting for UV light scattering in both spherical and non-spherical airborne saliva droplets. The proposed three-dimensional CFD-DDA platform provides a powerful framework for improving the understanding of UV-based airborne virus disinfection and for optimizing the design and performance of UV air purification systems.

physics.flu-dyn

A Computational Fluid Dynamics MacroModel for the Design of Bed Adsorbers

A new three-dimensional (3D) multiphase computational fluid dynamics (CFD) model for adsorption physics in packed beds of spherical beads is developed and validated. The model is constituted at a macroscopic scale that integrates new volumetric source terms in the multi-species gas transport and energy conservation equations. These new terms, for the first time, take into account the impact of pores adsorption occupation rate (PAOR), or gas loading. Transient 3D simulations are performed at an atmospheric pressure of about 1.02 bar for different CO2-He gas mixture feed-in compositions (100%, 50%, and 15% CO2). The 3D model validation is conducted through quantitative comparisons with experimental data from the literature for CO2 adsorption on porous Zeolite-13X beads in a cylindrical fixed-bed. Results demonstrate the new model's ability to accurately predict the breakthrough curves and the thermal front propagation inside the bed. Finally, the new CFD model is applied to investigate CO2 capture in a new 3D design of fixed-bed adsorbers of equivalent adsorbent material volume. The new design outperformed the reference cylindrical design thanks to its new geometry with higher surface area. This allows to shorten the adsorption periods in pressure and temperature swing adsorption processes and thus increase the overall gas separation process productivity.

physics.flu-dyn