Flow Pattern Discrimination Method and System Based on Spectrum Analysis of Two-phase Flow Pressure Drop Noise
A technology of frequency spectrum analysis and phase flow, which is applied in the field of flow pattern discrimination based on two-phase flow pressure drop noise spectrum analysis and its system field, can solve the problems of no recognition rule given and rough recognition effect, and achieve light weight and structure The effect of simplicity, size and power consumption
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Embodiment 1
[0076] The flow pattern discrimination method based on the two-phase flow pressure drop noise spectrum analysis of the present invention comprises the following steps:
[0077] Step 1: Collect the corresponding continuous pressure drop time-domain signals at both ends of the pipeline measurement section and at both ends of the liquid pump respectively;
[0078] Step 2: performing high-frequency sampling on the continuous voltage drop time-domain signal to obtain a voltage drop time-domain diagram;
[0079] Step 3: transforming the pressure drop time-domain map into a pressure drop spectrogram by using Fast Fourier Transform;
[0080] Step 4: Correlation judgment is made between the pressure drop spectrum diagram at both ends of the pipeline measurement section and the pressure drop spectrum diagram at both ends of the liquid pump, and the category of the two-phase flow is obtained.
[0081] Wherein, if the pressure drop spectrogram corresponding to the pipeline measurement se...
Embodiment 2
[0126] The water-nitrogen mixed working fluid two-phase pipeline has an inner diameter of 2mm, and the driving force source is air pressure. Schematic see Figure 8 .
[0127] Select the working condition of slug flow, and make an analog square wave signal diagram related only to the acceleration pressure drop according to the flow process captured by the high-speed camera. Fourier transform, compare the spectrogram of the experimental pressure drop sampling data, the result is as follows Figure 9 shown.
[0128]
[0129] Form Three
[0130] Figure 9 Table 4 shows that the simulated square wave signal spectrum and the experimental pressure drop data spectrum have similar two characteristic noises in the low frequency band, so it can be proved that in the non-pump flooding experimental pipeline, the influence of accelerated pressure drop is also reflected in the pressure drop spectrum In the low-frequency band, the flow pattern can also be preliminarily judged by depr...
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