Extension of the linear driving force dusty gas model approximation to include surface or micropore diffusion

• Type: Article in International Scientific Journal
• Date: 1996

Authors

Adélio Mendes (Author) FEUP; Carlos Costa (Author) FEUP; Alírio Rodrigues (Author) FEUP

Journal

Title: Gas Separation and Purification

Vol. 10

Pages: 141-148

ISSN: 0950-4214

Publisher: Pergamon Press - Elsevier

Indexing

ISI Web of Knowledge - 6 Citations

ISI Web of Science

Scopus - 6 Citations

COMPENDEX

Scientific classification

CORDIS: Technological sciences > Technology > Biotecnology > Downstream processing

Other information

Authenticus ID: P-001-DR2

DOI: 10.1016/0950-4214(96)00013-8

Resumo (PT): This paper presents linear driving force approximations for the dusty gas model in a bi-solute system obeying to linear Langmuir isotherms, in two situations: when there is a non negligible surface flux in parallel with the diffusive and connective fluxes and when there is micropore resistance to mass transfer in series. The approximation were developed using a semi-empirical procedure that starts with the particle response to a square wave perturbation considering a simple diffusion/convection mechanism and proceeds by consecutive correction to this basic result. Theses corrections are obtained using superposition, similarity and pattern recognition. The approximation are good (average quadratic error =10%) when representing the system cyclic steady state whether the perturbations are sharp or smooth.

Abstract (EN): This paper presents linear driving force approximations for the dusty gas model in a bisolute system obeying linear or Langmuir isotherms, in two situations: when there is a non-negligible surface flux in parallel with the diffusive and convective fluxes; and when there is a micropore resistance to mass transfer in series. The approximations were developed using a semi-empirical procedure that starts with the particle response to a square wave perturbation considering a simple diffusion/convection mechanism, and proceeds by consecutive corrections to this basic result. These corrections are obtained using superposition, similarity and pattern recognition. The approximations are good (average quadratic error less than or equal to 10%) when representing the system cyclic steady state, whether the perturbations are sharp or smooth. Copyright (C) 1996 Elsevier Science Ltd

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8