168
F. Qiu et al.
It can be seen from Table 15.2 that hits of AE signal received by sensor 1 arranged
on the outer wall of the tank is less than that of sensors 8 and 9, and the value range
of other parameters such as duration is the smallest. The parameters of AE signal
received by sensor 8 coupled with the surface of simulated corrosion source device
is the largest. Parameters of AE signal received by sensor 9 coupled with water is
between parameters of sensor 1 and sensor 8.
The acoustic wave is generated by the corrosion of the simulated corrosion source
device. Sensor 8 is coupled on the metal surface of corrosion device, and the AE
signal received is the corrosion acoustic source signal. AE parameters can reflect the
characteristics of the acoustic source. It can be seen that the signal characteristics
received by sensor 9 are closer to that of corrosion acoustic source, with less signal
loss. Amplitude, energy, rise time, duration and other parameter characteristics are
closer to that of the source signals.
15.5 Conclusion
The sensor placed in the center of the tank bottom can improve the amplitude of the
signal received by the sensor in the triangle array of time difference location, and
increase the recognition degree of acoustic emission detection to the acoustic source
in any triangle location.
It is feasible and testable to detect the corrosion defects of the tank bottom plate by
using the underwater sensor. It can increase the positioning area of the tank bottom
area and reduce the missed detection caused by signal attenuation. Because the water
sensor is in the tank and surrounded by the medium, its ability to resist the influence
of external interference on positioning is stronger than the sensor arranged outside
the tank. The less interference signals received, the higher the reliability of location.
The AE signal characteristics received by the underwater sensor placed in the
tank can reflect the corrosion process of the tank floor. Moreover, it is closer to the
characteristics of corrosion sound source and less signal loss. Therefore, the research
results of this paper can provide a method for acoustic emission detection of tank
bottom corrosion.
Acknowledgements We would like to thank the “National Key R&D Program of China
(2016YFC0801200)” for financial support. I would also like to thank the State Key Laboratory
of Safety and Control for Chemicals SINOPEC Research Institute of Safety Engineering for their
assistance and suggestions.
References
1. G. Dai, M. Zhang, G. Gao, F. Qiu, Analysis and experimental study on AE source characteristics
of corrosion process in atmospheric vertical tank bottom. Chem. Eng. Mach. 39(6), 704–708
F. Qiu et al.
It can be seen from Table 15.2 that hits of AE signal received by sensor 1 arranged
on the outer wall of the tank is less than that of sensors 8 and 9, and the value range
of other parameters such as duration is the smallest. The parameters of AE signal
received by sensor 8 coupled with the surface of simulated corrosion source device
is the largest. Parameters of AE signal received by sensor 9 coupled with water is
between parameters of sensor 1 and sensor 8.
The acoustic wave is generated by the corrosion of the simulated corrosion source
device. Sensor 8 is coupled on the metal surface of corrosion device, and the AE
signal received is the corrosion acoustic source signal. AE parameters can reflect the
characteristics of the acoustic source. It can be seen that the signal characteristics
received by sensor 9 are closer to that of corrosion acoustic source, with less signal
loss. Amplitude, energy, rise time, duration and other parameter characteristics are
closer to that of the source signals.
15.5 Conclusion
The sensor placed in the center of the tank bottom can improve the amplitude of the
signal received by the sensor in the triangle array of time difference location, and
increase the recognition degree of acoustic emission detection to the acoustic source
in any triangle location.
It is feasible and testable to detect the corrosion defects of the tank bottom plate by
using the underwater sensor. It can increase the positioning area of the tank bottom
area and reduce the missed detection caused by signal attenuation. Because the water
sensor is in the tank and surrounded by the medium, its ability to resist the influence
of external interference on positioning is stronger than the sensor arranged outside
the tank. The less interference signals received, the higher the reliability of location.
The AE signal characteristics received by the underwater sensor placed in the
tank can reflect the corrosion process of the tank floor. Moreover, it is closer to the
characteristics of corrosion sound source and less signal loss. Therefore, the research
results of this paper can provide a method for acoustic emission detection of tank
bottom corrosion.
Acknowledgements We would like to thank the “National Key R&D Program of China
(2016YFC0801200)” for financial support. I would also like to thank the State Key Laboratory
of Safety and Control for Chemicals SINOPEC Research Institute of Safety Engineering for their
assistance and suggestions.
References
1. G. Dai, M. Zhang, G. Gao, F. Qiu, Analysis and experimental study on AE source characteristics
of corrosion process in atmospheric vertical tank bottom. Chem. Eng. Mach. 39(6), 704–708