Diffusive lagrangian mixing simulation

• Type: Article in International Scientific Journal
• Date: 2020

Authors

Joana Matos (Author) Other; Madalena M. Dias (Author) FEUP; José Carlos B. Lopes (Author) FEUP; Ricardo J. Santos (Author) Other

Journal

Title: Chemical Engineering Research and Design

Vol. 163

Pages: 307-319

ISSN: 0263-8762

Publisher: Institute of Chemical Engineers

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Associated Projects

LA LSRE-LCM - Financiamento Plurianual 2020-2023 para a Unidade LA LSRE-LCM Laboratório de Processos de Separação e Reacção - Laboratório de Catálise e Materiais

Other information

Authenticus ID: P-00S-RT8

DOI: 10.1016/j.cherd.2020.09.010

Abstract (EN): Diffusive Lagrangian Mixing Simulation (DLMS) is an adaptation of the Lagrangian Mixing Simulation (LMS) algorithm, taking in account the diffusive scales. LMS is a Lagrangian method that positions particles over a Eulerian velocity field to track the flow front between two fluids in a mixer. A mixing interface is formed where quantities such as interfacial area and segregation scales can be measured. In DLMS, the interface is only generated if the local segregation scale is above a threshold value, below which the contacting front between fluids is ruptured. The elimination of particles in diffusion dominated regions makes DLMS more realistic and in addition the computation is faster than in LMS. To develop and illustrate the application of DLMS, 2D CFD simulations of the flow in Confined Impinging Jets (CIJ) reactors are used. The comparison between DLMS and LMS results is done for a particular case, Re = 600. Furthermore, the DLMS algorithm is here applied to active mixing cases, enabling their benchmark. DLMS particle tracking was simulated with first order method in a chaotic velocity field obtained from CFD simulations with second order method.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13