Statistical analysis of detonation wave structure
Abstract
Hydrocarbon fueled detonations are imaged in a narrow channel with simultaneous schlieren and broadband chemiluminescence at 5 MHz. Mixtures of stoichiometric methane and oxygen are diluted with various levels of nitrogen and argon to alter the detonation stability. Ethane is added in controlled amounts to methane, oxygen, nitrogen mixtures to simulate the effects of high-order hydrocarbons present in natural gas. Sixteen unique mixtures are characterized by performing statistical analysis on data extracted from the images. The leading shock front of the schlieren images is detected and the normal velocity is calculated at all points along the front. Probability distribution functions of the lead shock speed are generated for all cases and the moments of distribution are computed. A strong correlation is found between mixture instability parameters and the variance and skewness of the probability distribution; mixtures with greater instability have larger skewness and variance. This suggests a quantitative alternative to soot foil analysis for experimentally characterizing the extent of detonation instability. The schlieren and chemiluminescence images are used to define an effective chemical length scale as the distance between the shock front and maximum intensity location along the chemiluminescence front. Joint probability distribution functions of shock speed and chemical length scale enable statistical characterization of coupling between the leading shock and following reaction zone. For more stable, argon dilute mixtures, it is found that the joint distributions follow the trend of the quasi-steady reaction zone. For unstable, nitrogen diluted mixtures, the distribution only follows the quasi-steady solution during high-speed portions of the front. The addition of ethane is shown to have a stabilizing effect on the detonation, consistent with computed instability parameters.
Copyright and License
© 2022 The Combustion Institute. Published by Elsevier.
Acknowledgement
This work was supported by U.S. Air Force Office of Scientific Research grant FA9550-21-1-0013 (PO: Chiping Li). Mark D. Frederick acknowledges support from the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE-1333468. One Shimadzu HPV-X2 used in this work was purchased with DURIP grant FA9550-20-1-0226 (PO: Dr. Chiping Li). The authors are grateful to Hadland Imaging for use of the second Shimadzu HPV-X2.
Data Availability
https://ars.els-cdn.com/content/image/1-s2.0-S1540748922003327-mmc1.mp4
https://ars.els-cdn.com/content/image/1-s2.0-S1540748922003327-mmc2.mp4
https://ars.els-cdn.com/content/image/1-s2.0-S1540748922003327-mmc3.mp4
https://ars.els-cdn.com/content/image/1-s2.0-S1540748922003327-mmc4.xlsx
Conflict of Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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Additional details
- United States Air Force Office of Scientific Research
- FA9550-21-1-0013
- National Science Foundation
- NSF Graduate Research Fellowship DGE-1333468
- United States Air Force Office of Scientific Research
- FA9550-20-1-0226
- Caltech groups
- GALCIT