固体火箭发动机喷焰瞬态特性实验

Based on the image data collected from the solid rocket motor mooring experiment, the image mean and variance analysis, the fast Fourier transform (FFT) of the time series of the brightness of the typical position of the flame, and the improved Hilbert-Huang transform (improved HHT) were used to analyze the data. Transient characteristics were analyzed and processed. The analysis results showed that: in the obtained frequency band, there was no obvious main pulsation frequency in the entire exhaust plume, and there were small pulsation components at each frequency, and the pulsation amplitude in the core area was smaller than that in the turbulent mixing zone. There was a correlation between the pulsations in the core region and that in the turbulent mixing zone, and the improved HHT based on the improved adaptive noise complete set empirical mode decomposition algorithm (ICEEMDAN) can be used as an effective means to analyze the transient characteristic change mechanism of non-stationary signals such as solid rocket engine flames.