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Automated image processing method to quantify rotating detonation wave behavior.

J W Bennewitz1, B R Bigler2, S A Schumaker1

  • 1Air Force Research Laboratory, 10 E. Saturn Blvd., Edwards AFB, California 93524, USA.

The Review of Scientific Instruments
|July 1, 2019
PubMed
Summary
This summary is machine-generated.

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A new image processing technique automatically analyzes detonation waves in rotating detonation rocket engines (RDREs). This method quantifies wave speed and frequency, advancing RDRE understanding and potential performance gains.

Area of Science:

  • Propulsion Engineering
  • Fluid Dynamics
  • Combustion Science

Background:

  • Rotating detonation rocket engines (RDREs) offer potential performance advantages over traditional constant pressure engines.
  • Accurate characterization of detonation wave dynamics is crucial for RDRE development and optimization.
  • Existing methods for analyzing detonation waves can be complex and may not capture instantaneous properties.

Purpose of the Study:

  • To develop and validate an automated image processing technique for analyzing detonation wave properties in RDREs.
  • To quantify average and instantaneous detonation wave characteristics, including speed, frequency, and wave number.
  • To provide insights into wave-to-wave variability, modal transitions, and mode stability within RDREs.

Main Methods:

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  • High-speed imaging of the RDRE annulus.
  • Segmentation of the annular image into 200 azimuthal bins.
  • Tracking integrated pixel intensity and analyzing temporal histories to create a detonation surface.
  • Applying 2D Fourier analysis to determine average modal properties (wave speed, frequency, wave number).
  • Calculating instantaneous wave speeds via numerical differentiation of wave angular position.

    • Main Results:

    • The technique successfully visualizes detonation front propagation as a detonation surface.
    • Average wave speeds (Ūwv) ranged from 900-1700 m/s (33%-71% of CJ speed).
    • Operational frequencies (fdet) were 20-45 kHz (average 40 kHz) with 2-14 waves (m).
    • Instantaneous wave speeds revealed wave-to-wave variability and supported analysis of modal stability.

    Conclusions:

    • The developed image processing technique provides an automated and effective means to characterize RDRE detonation waves.
    • Detailed insights into wave dynamics, including instantaneous properties and variability, are now achievable.
    • This advancement in measurement capability can significantly contribute to the understanding and performance enhancement of RDREs.