A fast computation technique for the direct numerical simulation of rigid particulate flows

Nitin Sharma, Neelesh A. Patankar*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

179 Scopus citations

Abstract

In this paper, we present a computation technique for the direct numerical simulation of freely moving rigid bodies in fluids. We solve three-dimensional laminar flow problems using a control volume approach. The key feature of this approach is that the computational overhead (relative to a pure fluid solver) to solve for the motion of rigid particle is very small. The formulation is convenient for handling irregular geometries. We present results for the sedimentation of particles of different shapes. Convergence tests are presented to assess the order of accuracy of the numerical scheme. Various test cases are considered and the numerical results are compared with experimental values to validate the code. Due to the ability to perform fast computations, this method has been used for animations and its application to the direct numerical simulation of turbulent particulate flows merits investigation. The technique is not restricted to any constitutive model of the suspending fluid. Hence, it may potentially be used in Large Eddy Simulations (LES) or Reynolds Averaged Navier-Stokes (RANS) type simulations.

Original languageEnglish (US)
Pages (from-to)439-457
Number of pages19
JournalJournal of Computational Physics
Volume205
Issue number2
DOIs
StatePublished - May 20 2005

Keywords

  • Animation
  • Direct numerical simulation
  • Distributed Lagrange multiplier
  • Rigid particulate flow
  • Turbulent flows

ASJC Scopus subject areas

  • Numerical Analysis
  • Modeling and Simulation
  • Physics and Astronomy (miscellaneous)
  • Physics and Astronomy(all)
  • Computer Science Applications
  • Computational Mathematics
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'A fast computation technique for the direct numerical simulation of rigid particulate flows'. Together they form a unique fingerprint.

Cite this