ใหม่ น้อยพิทักษ์. Fabrication ofAcoustic Emission Sensor and Calibration of Acoustic Emission System. Doctoral Degree(Production Engineering). King Mongkut's University of Technology Thonburi. KMUTT Library. : King Mongkut's University of Technology Thonburi, 2011.
Fabrication ofAcoustic Emission Sensor and Calibration of Acoustic Emission System
Abstract:
Acoustic emission (AE) testing methods are becoming useful tools for integrity
assessment of structures monitoring of corrosion processes, materials characterization
and fluid leakage for valves and pipes. However, there are no measurement standards
for estimating the absolute strength of the AE sources. The lack of standardization
makes it very difficult to compare the results obtained in different laboratories or AE
sensors and on different structures or materials including obtaining meaningful
repeatability of measurements. The most current methods only give a qualitative rather
than quantitative indication of the damage of structures and materials. The main
objective ofthis dissertation is to study and fabricate an AE sensor and create the model
formulation for the relationship between mechanical energy released from source and
AE signal to transfer AE data between AE sensors and AE measurement systems. In
addition, to verify the AE sensor and model formulation, the air jet implemented is
demonstrated to convert AE energy from different AE sensors. Finally, the AE sensor,
the air jet system calibration, the transferable ofAE data and the model formulation are
applied in the internal valve leakage rate measurement and the uniform corrosion
monitoring, respectively. The experimental results show that the home-built AE sensor
and model formulation can be applied in the internal valve leakage rate measurement
and the uniform corrosion monitoring. For the internal valve leakage rate measurement,
the performance to predict the leakage rate in the laboratory and in the field was tested.
The error is less than 5% in almost cases. The benefit is to reduce the recalibration time
when a part of measurement system is changed. For the uniform corrosion monitoring,
the performance to predict the AE energy for different wave propagation paths and AE
sensors in the laboratory was tested. The error of prediction of the uniform corrosion
energy is also less than 5%. The benefit is outline to forecast the grade of the severity of
uniform corrosion quantitatively when using various AE monitoring conditions.