scholarly journals Use of Guided Wave Thickness Resonance for Monitoring Pipeline Wall Thinning Using an Internal PIG

10.5772/62985 ◽  
2016 ◽  
Author(s):  
Ángela Angulo ◽  
Slim Soua ◽  
Tat-Hean Gan
Keyword(s):  
Guided Wave ◽  
Wall Thinning ◽  
Pipeline Wall

Application of Laser-Generated Ultrasound for Evaluation of Thickness Reduction in Carbon Steel Pipes

2006 ◽  
Vol 321-323 ◽  
pp. 743-746 ◽  
Author(s):  
Jong Ho Park ◽  
Joon Hyun Lee ◽  
Gyeong Chul Seo ◽  
Sang Woo Choi
Keyword(s):  
Carbon Steel ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Guided Wave ◽  
Thickness Reduction ◽  
Steel Pipes ◽  
Time Frequency ◽  
Wall Thinning ◽  
Local Wall Thinning

In carbon steel pipes of nuclear power plants, local wall thinning may result from erosion-corrosion or flow-accelerated corrosion(FAC) damage. Local wall thinning is one of the major causes for the structural fracture of these pipes. Therefore, assessment of local wall thinning due to corrosion is an important issue in nondestructive evaluation for the integrity of nuclear power plants. In this study, laser-generated ultrasound technique was employed to evaluate local wall thinning due to corrosion. Guided waves were generated in the thermoelastic regime using a Q-switched pulsed Nd:YAG laser with a linear slit array. . In this paper, time-frequency analysis of ultrasonic waveforms using wavelet transform allowed the identification of generated guided wave modes by comparison with the theoretical dispersion curves. Modes conversion and group velocity were employed to detect thickness reduction.

A Wall Thinning Detection and Quantification Based on Guided Wave Mode Conversion Features

2006 ◽  
Vol 321-323 ◽  
pp. 795-798 ◽  
Author(s):  
Youn Ho Cho ◽  
Won Deok Oh ◽  
Joon Hyun Lee
Keyword(s):  
Long Range ◽  
Guided Waves ◽  
Velocity Dispersion ◽  
Mode Conversion ◽  
Group Velocity Dispersion ◽  
Wave Mode ◽  
Guided Wave ◽  
Wall Thinning ◽  
Theoretical Analyses ◽  
Data Calibration

This study presents a feasibility of using guided waves for a long-range inspection of pipe through investigation of mode conversion and scattering pattern from edge and wall-thinning in a steel pipe. Phase and group velocity dispersion curves for reference modes of pipes are illustrated for theoretical analyses. Predicted modes could be successfully generated by controlling frequency, receiver angle and wavelength. The dispersive characteristics of the modes from and edge wall-thinning are compared and analyzed respectively. The mode conversion characteristics are distinct depending on dispersive pattern of modes. Experimental feasibility study on the guided waves was carried out to explore wall thinning part in pipe for data calibration of a long range pipe monitoring by comb transducer and laser.

NUMERICAL MODELING OF WALL THINNING DEFECTS CHARACTERIZATION: APPLICATIONS IN LAMB WAVE GENERATION AND INTERACTION

2008 ◽  
Vol 22 (11) ◽  
pp. 935-940
Author(s):  
HYUNJO JEONG ◽  
SEUNG-SEOK LEE ◽  
YOUNG-GIL KIM
Keyword(s):  
Guided Waves ◽  
Lamb Waves ◽  
Mode Conversion ◽  
Wave Interaction ◽  
Guided Wave ◽  
Destructive Interference ◽  
Wall Thinning ◽  
Mode Dispersion ◽  
Periodic Ring ◽  
Axisymmetric Scattering

The generation of axisymmetric Lamb waves and interaction with wall thinning (corrosion) defects in hollow cylinders are simulated using the finite element method. Guided wave interaction with defects in cylinders is challenged by the multi-mode dispersion and the mode conversion. In this paper, two longitudinal, axisymmetric modes are generated using the concept of a time-delay periodic ring arrays (TDPRA), which makes use of the constructive/destructive interference concept to achieve the unidirectional emission and reception of guided waves. The axisymmetric scattering by the wall thinning extending in full circumference of a cylinder is studied with a two-dimensional FE simulation. The effect of wall thinning depth, axial extension, and the edge shape on the reflections of guided waves is discussed.

Shear Horizontal Guided Wave Corrosion Detection and Quantification in Pipes via Linear Scanning Magnetostrictive Transducers (MST)

2021 ◽  
Author(s):  
Xin Chen ◽  
Sergey Vinogradov ◽  
Adam Cobb
Keyword(s):  
Guided Waves ◽  
Guided Wave ◽  
Outer Diameter ◽  
Corrosion Detection ◽  
Promising Tool ◽  
Wall Thinning ◽  
Synthetic Aperture Focusing ◽  
Shear Horizontal ◽  
Detection And Quantification ◽  
Linear Scanning

Abstract Shear horizontal (SH) guided waves are being widely considered as a promising tool for locating wall thinning corrosion in pipelike structures. One established approach to excite such waves in pipes is through the magnetostrictive transducers (MsT), which is an electromagnetic-based guided wave transducer that offers unique advantages over other transducer types. A common practice for fast screening of defects is using an automated probe positioning system. In this paper, we report the usage of a newly designed linear scanning MsT, where an iron cobalt (FeCo) strip of a predefined length wound with radio frequency (RF) coils is attached to the testing structure using shear wave couplants and a moving permanent magnet driven by a stepper motor is used to excite SH guided waves at predefined positions. In this fashion, manual manipulation of probe is minimized which significantly increases testing speed. The performance of the linear scanning MsT at corrosion inspection is evaluated experimentally by introducing “V” shaped gradual wall thinning patches of different depths and locations on a 406 mm outer diameter (OD) steel pipe with 10 mm wall thickness. The reflection and transmission amplitudes of SH modes, as well as indications from B-scan and synthetic aperture focusing technique (SAFT) images, are extracted for corrosion detection and quantification. Numerical modeling is also conducted to facilitate the understanding of SH waves interaction with defects.

Ultrasonic Guided Wave Testing System for Piping

2009 ◽  
Author(s):  
Yukihisa Imagawa ◽  
Hideki Wada ◽  
Yasuhiko Wakibe ◽  
Hideaki Kitagawa ◽  
Junichi Kusumoto ◽  
...  
Keyword(s):  
Ultrasonic Testing ◽  
Guided Wave ◽  
Testing System ◽  
Reliability Improvement ◽  
Wall Thinning ◽  
Ultrasonic Guided Wave ◽  
Acoustic Transducer ◽  
Thickness Gage ◽  
Electro Magnetic ◽  
Ultrasonic Thickness

In the operation of electric power plant, it is necessary to understand the condition of the pipe quantitatively. The purpose is to prevent the accident caused of the wall thinning portion due to erosion or corrosion. The thickness of the pipe is partially measured with the ultrasonic thickness gage now. However, it is difficult to investigate the wall thinning portion in the pipe quantitatively without confirming it beforehand. In this study, for the purpose to identify the location of thinning, we have developed the ultrasonic testing system using the guided wave that was able to investigate partially the wall thinning portion of all aspects of pipe to be inspected at a time. This system propagates guided wave by using an electro-magnetic acoustic transducer. We understand the extensive condition of the pipe by using this system. Therefore, the efficient investigation of the pipe is available. For that reason, it is expected to contribute to the reliability improvement of facilities and the reduction of maintenance and repairs.

scholarly journals Pipeline Wall Thinning Rate Prediction Model Based on Machine Learning

2021 ◽  
Author(s):  
Seongin Moon ◽  
Kyongmo Kim ◽  
Gyeong-Geun Lee ◽  
Yongkyun Yu ◽  
Dong-Jin Kim
Keyword(s):  
Machine Learning ◽  
Prediction Model ◽  
Rate Prediction ◽  
Model Based ◽  
Wall Thinning ◽  
Pipeline Wall ◽  
Thinning Rate

scholarly journals Effects of alloys and flow velocity on welded pipeline wall thinning in simulated secondary environment for nuclear power plants

2016 ◽  
Vol 15 (5) ◽  
pp. 245-252
Author(s):  
Kyung Mo Kim ◽  
Yong-Moo Choeng ◽  
Eun Hee Lee ◽  
Jong Yeon Lee ◽  
Se-Beom Oh ◽  
...  
Keyword(s):  
Flow Velocity ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Wall Thinning ◽  
Pipeline Wall
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