Method and device for continuously detecting uranium content in materials
A technology of uranium content and materials, applied in the field of detection equipment, can solve the problems of not being able to reflect the content of uranium in real time, time-consuming, etc., and achieve the effect of automatic operation
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Embodiment 1
[0053] Embodiment 1 simulation experiment
[0054] First use the device for continuously detecting uranium content in materials of the present invention, manually load and discharge slag samples, and simulate continuous determination of uranium in slag. The average density of the slag is 2.7kg / L, and the ultimate thickness of the slag is 200mm after precise measurement. The detection channel 1 is a cylindrical table made of plastic, with a controllable discharge gate 11 below, and a detection component 2 is arranged on the inner wall of the middle section. The detection channel 1 has a diameter of 150 mm, and the distance between the probe 21 of the detection part 2 and the feeding port is 600 mm, and the distance from the discharging port is 400 mm. Around the probe 21 and on the wall of the detection channel 1, lead bricks with a thickness of 50mm and a height of 400mm are used as shielding.
[0055] The detection part 2 adopts FXY-214 dual-channel spectrometer, which is c...
Embodiment 2
[0058] Embodiment 2 field experiment
[0059] On the basis of Example 1, the test of automatic filling and discharging of FXY-222 three-channel spectrometer was carried out on site. The device for continuously detecting uranium content in materials of the present invention is directly installed on the production line, using FXY-222 spectrometer and digital calculator to measure. The measurement conditions are 164KeV-204KeV for channel I and 300KeV-370KeV for channel II; the K value is 1.66, and the measurement time is 100 seconds. A total of 208 samples were taken for physical and chemical comparison. In the case of low content, the error of chemical analysis itself is also very large. Therefore, the processed data is based on the average value of physical and chemical analysis. It can be seen from the data in the table that the relative error distribution curve conforms to Gaussian distribution, and its standard deviation is about 10%. The physical and chemical comparison o...
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