Method for detecting atomization quality of liquid
A liquid atomization and detection method technology, applied in the direction of measuring devices, particle size analysis, scientific instruments, etc., can solve the problems of difficult application of industrial monitoring, precision and expensive equipment, cumbersome operation, etc., to achieve wide application range, small measurement error, and characterization The effect of simple method
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Embodiment 1
[0043] use as figure 1 In the detection device shown, the inner diameter of the atomizing nozzle is 1 mm, and an acoustic emission sensor is set, and the setting position is shown in Figure 2(a). The range of liquid ejection speed is 0~120 m s -1 , select 6 typical atomization states at different liquid ejection velocities, and shoot the spray beam with the camera method, such as image 3 shown. The acoustic emission sensor receives the acoustic emission signal generated by the impact of atomized liquid droplets on the baffle, and the sampling frequency is 500 kHz. Select the energy value of the acoustic emission signal E As eigenvalues, analyze the acoustic emission signals collected in six typical atomization states, and calculate their energy values E , the result is as Figure 4 shown.
[0044] image 3 With the liquid ejection velocity v With the increase of , the atomization quality of the liquid becomes better gradually. In state 4, the liquid is fully broken, t...
Embodiment 2
[0046] use as figure 1 For the detection device shown, the detection conditions are the same as in Example 1. The power spectrum analysis of the acoustic emission signal shows that the power spectrum shows a low-frequency peak at a frequency of 0-5 kHz, and a high-frequency peak at a frequency of 110-170 kHz. Calculate the area ratio of high-frequency peaks and low-frequency peaks in the power spectrum under different atomization states n , the result is as Figure 5 shown. Figure 5 Among them, as the atomization quality of the liquid gradually improves, the area ratio of the high-frequency peak to the low-frequency peak in the power spectrum n rise slowly when v = 78.9 m s -1 hour, n It begins to increase rapidly, and the turning point of the curve corresponds to the spray entering a good atomization state. Therefore, the quality of liquid atomization can be accurately detected by using the change in the area ratio of the high-frequency peak to the low-frequency peak ...
Embodiment 3
[0048] use as figure 1 For the detection device shown, the detection conditions are the same as in Example 1. The acoustic emission signal is divided into 8 frequency bands by wavelet decomposition, as shown in Table 1. Perform FFT analysis on the acoustic emission signal, compare the wavelet decomposition frequency band, and find that the frequency range of the second wavelet frequency band corresponds to the characteristic frequency obtained by FFT analysis, so the acoustic energy fraction of the second wavelet frequency band is selected R J As a characteristic variable, its relationship with the change of liquid atomization quality is as follows Figure 6 shown. Figure 6 In , as the atomization quality of the liquid becomes better gradually, the energy fraction of the characteristic wavelet frequency band R J rise slowly when v = 78.9 m s -1 hour, R J It begins to increase rapidly, and the turning point of the curve corresponds to a good atomization state. Theref...
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