Pipe inspection system by guide wave using a long distance waveguide

Murayama, Riichi; Kobayashi, Makiko

doi:10.1063/1.4940611

Cited by 3 publications

(1 citation statement)

References 8 publications

(6 reference statements)

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“…The use of PIGs for pipeline line monitoring from previous research exists. According to Murayama [11], there are now only a few sensors that can do non-destructive testing in a high-temperature setting. At temperatures above 50 degrees Celsius, the ultrasonic sensor is typically not employed.…”

Section: Introductionmentioning

confidence: 99%

Pipeline inspection using a low-cost Wi-Fi based intelligent pigging solution

Olugboji¹,

Abolarin²,

Adedipe³

et al. 2022

Nig. J. Tech.

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This study presents a low-cost smart pipeline inspection gauge (PIG) designed for pipeline defect (leakage) detection, and for quick data access and recovery for the purpose of analysis, utilizing locally sourced materials and off-the-shelf sensors and electronics. The PIG’s electronic circuit is designed to house the sensors and allow for easy reception and transfer of pressure measurements to the pipeline manager’s laptop via a WiFi module. A pressure sensor, a motion sensor, a wireless communicator, and an Arduino Microcontroller are utilized in the development of this PIG. The PIG was tested experimentally by being put through stationary, no load-no defect, and no load-defect tests respectively. The PIG was kept still during the stationary tests but was conveyed within a 160 mm diameter Polyvinyl Chloride (PVC) conduit with a length of 6.7 m for both the no load-no defect and no load-defect tests, using a 0.125 Hp direct current (DC) motor, with a gearbox attachment to pull from one end to the other. Using a WiFi module and the PuTTY program, the pressure values were retrieved. The test results revealed that P1 (front pressure) values were higher than P2 (rear pressure) values for the no load tests. P1 readings ranged from 1213 to 1214 Pa, with an average of 1213.86 Pa for the no load-no defect tests. The average P2 value was 1094.24 Pa, with a range of 1094.24 Pa to 1094.75 Pa. The pressure values for the no load-defect cases began at 1226.8 Pa and steadily decreased for the first 1.5 minutes, then remained at an average of 1214.2 Pa for the next 20 seconds until they arrived at the first defected point, where a value of 1216.1 Pa was recorded. The PIG traversed the pipeline until it had caught all of the pressure pulses at the defective sites. The higher pressure pulses (spikes) observed at the points of defects created along the pipeline in the experimental results from the no load-defect tests indicates that the Smart PIG was capable of detecting the created defects and demonstrated that the low-cost Smart PIG can be used to detect leakages on a pipe and can also be deployed in real life situations.

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Section: Introductionmentioning

confidence: 99%

Pipeline inspection using a low-cost Wi-Fi based intelligent pigging solution

Olugboji¹,

Abolarin²,

Adedipe³

et al. 2022

Nig. J. Tech.

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Propagation Characteristics and Defect Sensitivity Analysis of Guided Wave From Single Excitation Source in Elbows

2019

IEEE Access

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Ultrasonic guided wave has received significant attention in the field of nondestructive testing because of their advantages in detecting the entire wall thickness. Since pipe elbows are an important component of the piping system, it is desirable to study the propagation behavior of the guided wave in the elbows. In this paper, instead of using the traditional method of a ring of transducers to generate guided wave at the same time, the propagation behavior of the guided wave in the elbows under the action of a single excitation source is simulated. Using the chirp excitation signal, the transmission signals of the guided wave at different excitation central frequencies are extracted with high efficiency, and the behavior of the guided wave in the elbow under different excitation frequencies is studied. In addition, it is proposed to use the flight time quantity to characterize the complete information of the structure, and the influence of the defects on the flight time is also studied. The results prove that the flight time feature has good detection sensitivity to the defects with varying depth in different locations of the elbow.

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Analysis of Influencing Factors on the Conversion Efficiency of Laser-EMAT Ultrasound Detection with High-Temperature Carbon Steel Forgings

Tong

Shi

Huang

et al. 2023

Journal of Testing and Evaluation

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A method to improve the conversion efficiency based on surface cooling technology was proposed to achieve a low signal-to-noise ratio (SNR) of laser-electromagnetic acoustic transducer (EMAT) detection with high-temperature forgings. A finite element model of the laser-EMAT ultrasonic testing process operated with high-temperature forgings was established to study the effects of the laser source parameters and temperatures on laser-excited ultrasonic waves and their radiated acoustic field. The ratio of the magnetostriction and Lorentz force to the ultrasonic reception efficiency of the EMAT at different temperatures was analyzed and verified experimentally. The results indicate that the surface cooling technology can improve the energy conversion efficiency when the carbon steel temperature exceeds the Curie temperature. With the help of surface cooling technology, the SNR of the longitudinal wave increases by 26.5 dB at 766°C, and the SNR of the shear wave improves by 12.1 dB at 655°C.

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Pipe inspection system by guide wave using a long distance waveguide

Cited by 3 publications

References 8 publications

Pipeline inspection using a low-cost Wi-Fi based intelligent pigging solution

Pipeline inspection using a low-cost Wi-Fi based intelligent pigging solution

Propagation Characteristics and Defect Sensitivity Analysis of Guided Wave From Single Excitation Source in Elbows

Analysis of Influencing Factors on the Conversion Efficiency of Laser-EMAT Ultrasound Detection with High-Temperature Carbon Steel Forgings

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