Comparison of particle dispersion obtained with simple stochastic models and les in pipe flow

García García, Javier and Crespo Martínez, Antonio and Torres, Josefina (2014). Comparison of particle dispersion obtained with simple stochastic models and les in pipe flow. In: "XII Congreso Internacional de Métodos Numéricos en Ingeniería y Ciencias Aplicadas", 23/03/2014 - 26/03/2014, Isla de Margarita, Venezuela. pp. 1-5.

Description

Title: Comparison of particle dispersion obtained with simple stochastic models and les in pipe flow
Author/s:
  • García García, Javier
  • Crespo Martínez, Antonio
  • Torres, Josefina
Item Type: Presentation at Congress or Conference (Article)
Event Title: XII Congreso Internacional de Métodos Numéricos en Ingeniería y Ciencias Aplicadas
Event Dates: 23/03/2014 - 26/03/2014
Event Location: Isla de Margarita, Venezuela
Title of Book: XII Congreso Internacional de Métodos Numéricos en Ingeniería y Ciencias Aplicadas
Date: 2014
Subjects:
Freetext Keywords: Langevin equation, LES, inhomogeneous turbulence
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Energética y Fluidomecánica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

A hybrid Eulerian-Lagrangian approach is employed to simulate heavy particle dispersion in turbulent pipe flow. The mean flow is provided by the Eulerian simulations developed by mean of JetCode, whereas the fluid fluctuations seen by particles are prescribed by a stochastic differential equation based on normalized Langevin. The statistics of particle velocity are compared to LES data which contain detailed statistics of velocity for particles with diameter equal to 20.4 µm. The model is in good agreement with the LES data for axial mean velocity whereas rms of axial and radial velocities should be adjusted.

More information

Item ID: 22793
DC Identifier: http://oa.upm.es/22793/
OAI Identifier: oai:oa.upm.es:22793
Deposited by: Memoria Investigacion
Deposited on: 22 Mar 2014 12:32
Last Modified: 21 Apr 2016 20:26
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