Wan Sofian, Wan Hamat and M. F., Ghazali and Priyandoko, Gigih (2016) Ultrasonic Guided Wave Method For Crack Detection In Buried Plastic Pipe. In: MATEC Web of Conferences: The 3rd International Conference on Mechanical Engineering Research (ICMER 2015) , 18-19 August 2015 , Zenith Hotel, Kuantan, Pahang, Malaysia. pp. 1-5., 74 (00012). ISSN 2261-236X
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Ultrasonic Guided Wave Method For Crack Detection In Buried Plastic.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Plastic pipe are widely used in many fields for the fluid or gaseous product conveyance but basic components of a plastic material made it very sensitive to damage, which requires techniques for detecting damage reliable and efficient. Ultrasonic guided wave is a sensitive method based on propagation of low-frequency excitation in solid structures for damage detection. Ultrasonic guided wave method are performed to investigate the effect of crack to the frequency signal using Fast Fourier Transform (FFT) analysis. This paper researched to determine performance of ultrasonic guided wave method in order to detect crack in buried pipeline. It was found that for an uncrack pipe, FFT analysis shows one peak which is the operating frequency by the piezoelectric actuator itself while the FFT analysis for single cracked pipe shows two peak which is the operating frequency by the piezoelectric actuator itself and the resultant frequency from the crack. For multi cracked pipe, the frequency signal shows more than two peak depend the number of crack. The results presented here may facilitate improvements in the accuracy and precision of pipeline crack detection.
| Item Type: | Conference or Workshop Item (Speech) |
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| Uncontrolled Keywords: | Plastic Pipe; Crack Detection; Fast Fourier Transform (FFT) |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Mechanical Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 10 Nov 2016 00:21 |
| Last Modified: | 12 Jan 2018 02:21 |
| URI: | http://umpir.ump.edu.my/id/eprint/14536 |
| Download Statistic: | View Download Statistics |
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