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Stress Measurement of a Pressurized Vessel Using Ultrasonic Subsurface Longitudinal Wave With 1-3 Composite
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|September 20, 2019
Summary
This study introduces a novel stress-sensing method for pressurized vessels using composite transducers and subsurface longitudinal (SSL) waves. The developed technique accurately measures stress by analyzing wave time delays, outperforming traditional methods.
Area of Science:
- Materials Science
- Mechanical Engineering
- Non-Destructive Testing
Background:
- Ultrasonic subsurface longitudinal (SSL) waves are used for stress sensing in pressurized vessels.
- Excitation of SSL waves using predefined functions with composite transducers requires further investigation.
Purpose of the Study:
- To develop an advanced stress-sensing method for pressurized vessels using 1-3 composite transducers.
- To enhance SSL wave signal intensity and sensor accuracy through specific waveform excitation.
Main Methods:
- Utilized composite-type transducers with wide frequency bandwidth (>60%) and predominant thickness mode.
- Employed a specific toneburst waveform for SSL wave excitation and detection.
- Conducted finite element analysis and pulse-echo tests to validate transducer performance.
- Applied principal component regression (PCR) for stress sensing under varying temperatures.
Main Results:
- Composite-type transducer signal intensity was up to 45.3% higher than single-phase transducers.
- Developed transducer exhibited a frequency bandwidth of 60.7%, suitable for Hanning-windowed toneburst signals.
- A linear relationship (0.335 ns/MPa) was observed between SSL wave time delay and pressurized vessel stress.
- PCR model demonstrated significantly lower error (0.62 MPa) compared to least squares regression (9.49 MPa).
Conclusions:
- The developed composite transducer and toneburst waveform method effectively enhances SSL wave signal intensity and accuracy for stress sensing.
- The study confirms a reliable linear correlation between SSL wave time delay and mechanical stress in pressurized vessels.
- Principal component regression offers a robust and accurate approach for stress sensing, especially under varying temperature conditions.
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