Lagrangian Fluid Dynamics for Combustion Modelling.

Abstract

Recent flow visualization experiments have shown the need to follow the behavior of dynamically interacting coherent structures in both cold flows and flames. Since these structures move the fluid, a Lagrangian approach is especially useful in theoretical calculations because we can observe the interaction of a particular fluid element with its changing environments as the flow evolves. One-dimensional Lagrangian flame models are successful because they also minimize the effects of numerical diffusion which is the bane of laminar flame calculations. However, most two- and three-dimensional flame models are Eulerian because of problems in standard Lagrangian formulations for multi-dimensional models and because phenomenological turbulent diffusion terms are usually added which mask the numerical diffusion. The purpose of this paper is to describe one- and multi-dimensional Lagrangian algorithms which eliminate many of the problems previously associated with this approach. An example of a one-dimensional flame calculation which incorporates the new ideas will be given. Finally, examples will be given of the two-dimensional Lagrangian triangular gridding technique and it will be indicated how this may be applied to multi-phase combustion problem. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 21, 1981
Accession Number
ADA101980

Entities

People

  • Elaine Oran
  • Jay Paul Boris
  • M. J. Fritts

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Boundary Layer
  • Cell Size
  • Chemical Reactions
  • Combustion
  • Computational Fluid Dynamics
  • Diffusion
  • Flow Visualization
  • Fluid Dynamics
  • Fluid Flow
  • Hydrodynamics
  • Shear Flow
  • Simulations
  • Temperature Gradients
  • Three Dimensional
  • Turbulent Mixing
  • Two Dimensional

Readers

  • Combustion science or combustion engineering.
  • Computational Fluid Dynamics (CFD)