Development and analysis of the analytical solution of a dominant convective problem with chemical reaction

Authors

  • Jaqueline Alves Roberto Universidade Federal de Minas Gerais image/svg+xml
  • Jordana Silva Abreu Universidade Federal de Minas Gerais image/svg+xml
  • Esly Ferreira da Costa Junior Universidade Federal de Minas Gerais

DOI:

https://doi.org/10.22481/exon.v13i2.20576

Keywords:

Mathematical Modeling, Simulation, Reactor, Analytical solution, Convective flow, diffusive flow

Abstract

Modeling and simulation is a tool used in industrial to assess the behavior of a process under different  operating conditions. In the literature, there are many researches related to mathematical modeling and  simulation of reactors. However, there is a numerical difficulty in problems with dominant convective  term. Thus, the present work develops the analytical solution from a partial differential equation for the  problem of a transient reactor, considering diffusion and dominant convection. This analytical solution  depends on the dimensionless Peclet’s number mass and Thiele's modulus. As the Peclet’s number  provides a ratio between convective and diffusive flows, the analytical solution was used to simulate a  process using high Peclet values to simulate flow conditions with a more significant convective effect  than the diffusive one, and consequently, high values for the Thiele modulus were also used. Profiles  with the number of Peclet varying from 2 to 50 are simulated, with the highest value evidencing the  dominance of convection by the practically linear profile of reagent concentration along the reactor in  steady state. The results obtained are physically consistent and the analytical solution can be used in the  analysis of convergence and stability of numerical solutions.

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Published

2022-12-31

How to Cite

ROBERTO, Jaqueline Alves; ABREU, Jordana Silva; DA COSTA JUNIOR, Esly Ferreira. Development and analysis of the analytical solution of a dominant convective problem with chemical reaction. Exatas Online, [S. l.], v. 13, n. 2, p. 50–61, 2022. DOI: 10.22481/exon.v13i2.20576. Disponível em: https://periodicos2.uesb.br/exon/article/view/20576. Acesso em: 2 oct. 2026.