Efficient Parallel Implementation of a Hybrid Finite Volume/Particle Method for the PDF Equations of Turbulent Reactive Flows

Abstract

Turbulent reacting flows are of great importance in modern society and occur frequently, for example, in internal combustion engines, gas turbines, furnaces etc. The computational modelling of turbulent reacting flows is widely used to aid understanding and control turbulent flames, to improve efficiency, and to reduce pollutant emissions, reduce design costs and development times. However, turbulent combustion remains one of the most complicated phenomena to describe and simulate using numerical tools. In this paper, an efficient parallel implementation of the hybrid finite-volume/particle method for the PDF equations of the turbulent reactive flows is introduced. A method called domain partitioning of particles is implemented. The code has been tested by using a non-reacting case of the vitiated coflow combustor. Results about the speed-up performance in this test case are shown. Since in PDF/Monte Carlo methods the particle properties are advanced independently in time, the speed-up performance of this code for the particle part is very close to ideal. Finally, the speed-up performance with detailed chemistry calculation is analyzed.

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Document Details

Document Type
Technical Report
Publication Date
Jul 30, 2003
Accession Number
AD1005614

Entities

People

  • David A. Caughey
  • Renfeng Cao
  • Stephen B. Pope

Organizations

  • Sibley School of Mechanical and Aerospace Engineering

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Boltzmann Equation
  • Chemistry
  • Combustion
  • Computational Modeling
  • Computations
  • Equations
  • Flames
  • Gas Turbines
  • Grids
  • Internal Combustion Engines
  • Jet Flames
  • Monte Carlo Method
  • Parallel Computing
  • Particles
  • Probability Density Functions
  • Simulations

Fields of Study

  • Physics

Readers

  • Combustion science or combustion engineering.
  • Fluid Mechanics and Fluid Dynamics.
  • Operations Research