Prediction of Combustion-Driven Dynamic Instability for High Performance Gas Turbine Combustors: Part I

Abstract

This paper describes the development and application of a combined detailed three-dimensional large eddy simulation (LES) and one-dimensional analysis tool to predict and actively control combustion-driven dynamic instabilities in gas turbine combustors. The integration of detailed finite-rate kinetics into LES and use of In-situ Adaptive Tabulation (ISAT) to efficiently calculate multi-species finite-rate kinetics in LES along with the use of global kinetics in the one-dimensional analysis tool was demonstrated. The results showed that LES can be effectively used to simulate complex reacting flows in gas turbine combustors and to identify regions of combustion instabilities. The results also showed that the one-dimensional combustor analysis with global kinetics can then be used both to capture the combustor unstable modes of the predicted regions of instabilities and to actively control these instabilities. In particular, the results demonstrated that by modulating the primary fuel injection rates and the time-lag between the instant of fuel-air mixture injection and heat release, damping out the instabilities may be achieved.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2001
Accession Number
ADP011162

Entities

People

  • B. Sekar
  • M. A. Mawid
  • Suresh Menon
  • T. W. Park

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Chemical Reactions
  • Chemistry
  • Combustion
  • Computational Fluid Dynamics
  • Computational Science
  • Fluid Dynamics
  • Gas Turbines
  • Large Eddy Simulation
  • Military Aircraft
  • Mixing
  • Numerical Analysis
  • Physics Laboratories
  • Turbines
  • Turbulence
  • Turbulent Mixing
  • Vehicles
  • Waves

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Control Systems Engineering.
  • Petroleum Engineering