Mass transfer towards a reactive particle in a fluid flow: Numerical simulations and modeling

Mostafa Sulaiman (1) , Éric Climent (2) , Abdelkader Hammouti (1) , Anthony Wachs (3)

1 IFPEN - IFP Energies nouvelles
2 IMFT - Institut de mécanique des fluides de Toulouse
3 UBC - University of British Columbia

We study mass transfer towards a solid spherical catalyst particle experiencing a first order irreversible reaction coupled to an external laminar flow. Internal chemical reaction and convective-diffusive mass transfer in the surrounding fluid flow are coupled by concentration and flux boundary conditions at the particle surface. Through this coupling, the mean particle surface and volume concentrations are predicted and the internal/external Sherwood numbers are obtained. We investigate the interplay between convection, diffusion, and reaction by computational fluid dynamics and establish a model for the mass transfer coefficient accounting for diffusion and internal first-order chemical reaction. We obtain a prediction of the mass transfer coefficient through mass balance or using the classical additivity rule. The model is numerically validated by fully resolved numerical simulations over a wide range of Reynolds number, Schmidt number and Thiele modulus which shows that assuming decoupled treatment of external and internal mass transfer gives very accurate predictions. Finally, we test the unsteady response of the model. The model predicts the evolution of the mean volume concentration for a particle placed in a steady convective-diffusive stream. Predictions of the unsteady model are in very good agreement with computed results.

Keywords: Catalyst particle; Mass transfer; Sherwood number; Chemical reaction; Thiele modulus; Particle; Reaction

Domains: Chemical Sciences; Chemical engineering; Engineering Sciences [physics]; Chemical and Process Engineering

Mostafa Sulaiman, Éric Climent, Abdelkader Hammouti, Anthony Wachs. Mass transfer towards a reactive particle in a fluid flow: Numerical simulations and modeling. Chemical Engineering Science, 2019, 199, pp.496-507. ⟨10.1016/j.ces.2018.12.051⟩. ⟨hal-02407705⟩