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Related Experiment Videos

Chaos in thermal pulse combustion.

C. Stuart Daw1, John F. Thomas, George A. Richards

  • 1Engineering Technology Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831U.S. Department of Energy, Morgantown Energy Technology Center, Morgantown, West Virginia 26505Embry-Riddle Aeronautical University, Department of Aerospace Engineering, Daytona Beach, Florida 32114.

Chaos (Woodbury, N.Y.)
|December 1, 1995
PubMed
Summary

This study reveals that thermal pulse combustors can exhibit chaotic behavior, driven by period-doubling bifurcations as operating parameters approach flameout. Chaotic time series analysis aids in understanding combustor dynamics and validating models.

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Maintenance of chaos in a computational model of a thermal pulse combustor.

Chaos (Woodbury, N.Y.)·2003
See all related articles

Area of Science:

  • Combustion science
  • Nonlinear dynamics
  • Chaos theory

Background:

  • Thermal pulse combustors are complex systems with potential for nonlinear behavior.
  • Understanding combustion instabilities is crucial for efficient and stable operation.

Purpose of the Study:

  • To investigate the chaotic dynamics of a thermal pulse combustor.
  • To develop and validate a differential equation model for predicting chaotic behavior.
  • To explore the use of chaotic time series analysis for characterizing combustor dynamics.

Main Methods:

  • Experimental investigation of a thermal pulse combustor.
  • Development of a differential equation model simulating combustor operation.
  • Analysis of pressure fluctuations using chaotic time series methods (correlation dimension, Kolmogorov entropy).

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Main Results:

  • The model predicts chaotic behavior via period-doubling bifurcations near flameout conditions.
  • Experimental pressure fluctuations show dynamic features similar to model predictions.
  • Chaotic time series analysis effectively classifies combustor dynamics and aids model-experiment comparison.

Conclusions:

  • Thermal pulse combustors can exhibit chaos under specific operating conditions.
  • The developed model shows promise in capturing combustor dynamics, though further improvements are suggested.
  • Chaotic time series analysis is a valuable tool for studying combustion instabilities and validating models.