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Investigation on parameters influence for intrinsic instability analysis of solid propellant (AP+HTPB+TDI) using computational image-processing technique

ABSTRACT
The effect of the different mixture in a high volumetric concentration of oxidizer (AP) with least percentage of binder (HTPB+TDI) for improving the propellant burn rate was investigated. The combustion experiment is performed using a window bomb setup and the high-speed camera is utilized to capture the flame images. An image processing approach is used to measure the burn rate and intrinsic instability of flame by discrete wavelet transform method. Region growing algorithm technique is used for image segmentation. The morphological operation is implemented with Euclidean distance measurement for the identification of flame height in configuring with dependent parameters (burning rate, diffusion flame height). The qualitative analysis (signal characterization) and quantitative analysis (mean, kurtosis, skewness, standard deviation and frequency) were used to study the intrinsic instability characteristics of the flame diffusion. A result obtained from the analysis proves that the instability in fuel combustion occurs at higher mix and pressure level.
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PAPER SUBMITTED: 2016-11-19
PAPER REVISED: 2017-03-18
PAPER ACCEPTED: 2017-04-03
PUBLISHED ONLINE: 2017-04-08
DOI REFERENCE: https://doi.org/10.2298/TSCI161119103S
REFERENCES
  1. Beckstead, M.W., Derr, R.L., Price, C.F., A model of composite solid-propellant combustion based on multiple flames, AIAA J. 8 (1970) pp. 2200-2207.
  2. Jayaraman, Production and characterization of Nano-Aluminium and Its Effects In Solid Propellant Combustion, Thesis, Indian Institute of Technology-Madras, Chennai, India, 2008.
  3. Lu, G., Yan, Y., Colechin, M., A digital imaging based multifunctional flame monitoring system. IEEE Trans Instrum Meas, 53 (2004) pp.1152-1158.
  4. Lu G, Yan Y, Huang Y, Reed A., An intelligent vision system for monitoring and control of combustion flames, Meas Control 32 (1999) pp.164-168.
  5. Lu, G., Yan, Y., Colechin, M., Hill, R., Monitoring of oscillatory characteristics of pulverized coal flames through image processing and spectral analysis, IEEE Transactions on Instrumentation and Measurement 55 (2006) pp.226-231.
  6. Lu, G., et al., Impact of co-firing coal and biomass on flame characteristics and stability, Fuel 87 (2008) pp.1133-1140.
  7. Masafumi tanaka, Yoshinori nakayama, Tomonari yoshioka, Intrinsic instability of AP composite propellants in an intermediate pressure range, 41st Aerospace Sciences Meeting and Exhibit 6-9 January, AIAA 2003-1160.
  8. Reddy, Busireddy, Nagarjuna, and Siba Udgata. K. Energy Efficient Aggregation in Wireless Sensor Networks for Multiple Base Stations, Lecture Notes in Computer Science. (2013).
  9. Shu-yin Xia, et al,. Effectiveness of the Euclidean distance in high dimensional spaces, Optik - International Journal for Light and Electron Optics. (2015)
  10. Vesna Rodic, Miomir Bajlovski, Influence of trimodal fraction mixture of ammonium perchlorate on the characteristics of composite rocket propellants, Sci. Technol. Rev. LVI. (2006)
  11. Williams, F. A. Combustion Theory (2nd edition). CA: The Benjamin/Cummings Publishing Company. (1985).