High Frequency Acoustic Signal Analysis for Internal Surface Pipe Roughness Classification

Abstract. This research highlights the method of acoustic emission analysis to distinguish the internal surface roughness of the pipe. Internal roughness of the pipe is referred to the level of corrosion occurring, where normally it is difficult to be monitored onl...

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Main Authors:	Z. M., Hafizi, Che Ku Eddy Nizwan, Che Ku Husin
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	TJ Mechanical engineering and machinery TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/1182/ http://umpir.ump.edu.my/id/eprint/1182/1/High_Frequency_Acoustic_Signal_Analysis_for_Internal_Surface_Pipe_Roughness_Classification.pdf

id	ump-1182
recordtype	eprints
spelling	ump-11822019-11-07T04:12:19Z http://umpir.ump.edu.my/id/eprint/1182/ High Frequency Acoustic Signal Analysis for Internal Surface Pipe Roughness Classification Z. M., Hafizi Che Ku Eddy Nizwan, Che Ku Husin TJ Mechanical engineering and machinery TA Engineering (General). Civil engineering (General) Abstract. This research highlights the method of acoustic emission analysis to distinguish the internal surface roughness of the pipe. Internal roughness of the pipe is referred to the level of corrosion occurring, where normally it is difficult to be monitored online. Acoustic Emission (AE) technique can be used as an alternative solution to the corrosion monitoring in pipes, especially for complex pipelines and difficult to achieve by other monitoring devices. This study used the hydraulic bench to provide fluid flow at two different pressures in pipes with different internal surface roughness (rough and smooth). The main source of acoustic emission was from activity in the control valve, coupled with high pressure water flow friction on the surface of the pipe. The signal from these sources was detected by using the AED-2000V instrument and assisted by the Acoustic Emission Detector (AED) software. The time domain parameter; root mean square, RMS amplitude was processed and compared at different pressures for each type of internal pipe roughness at ten different locations. It was observed that a unit less Bangi number, AB, derived from RMS values, can be used for discriminating different level of internal surface roughness. Internal surface pipe can still be considered as smooth if AB value is above than 1.0. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1182/1/High_Frequency_Acoustic_Signal_Analysis_for_Internal_Surface_Pipe_Roughness_Classification.pdf Z. M., Hafizi and Che Ku Eddy Nizwan, Che Ku Husin (2010) High Frequency Acoustic Signal Analysis for Internal Surface Pipe Roughness Classification. In: The International Conference on Experimental Mechanics (ICEM 2010), 29 Nov. – 01 Dec. 2010 , Kuala Lumpur, Malaysia. .
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery TA Engineering (General). Civil engineering (General)
spellingShingle	TJ Mechanical engineering and machinery TA Engineering (General). Civil engineering (General) Z. M., Hafizi Che Ku Eddy Nizwan, Che Ku Husin High Frequency Acoustic Signal Analysis for Internal Surface Pipe Roughness Classification
description	Abstract. This research highlights the method of acoustic emission analysis to distinguish the internal surface roughness of the pipe. Internal roughness of the pipe is referred to the level of corrosion occurring, where normally it is difficult to be monitored online. Acoustic Emission (AE) technique can be used as an alternative solution to the corrosion monitoring in pipes, especially for complex pipelines and difficult to achieve by other monitoring devices. This study used the hydraulic bench to provide fluid flow at two different pressures in pipes with different internal surface roughness (rough and smooth). The main source of acoustic emission was from activity in the control valve, coupled with high pressure water flow friction on the surface of the pipe. The signal from these sources was detected by using the AED-2000V instrument and assisted by the Acoustic Emission Detector (AED) software. The time domain parameter; root mean square, RMS amplitude was processed and compared at different pressures for each type of internal pipe roughness at ten different locations. It was observed that a unit less Bangi number, AB, derived from RMS values, can be used for discriminating different level of internal surface roughness. Internal surface pipe can still be considered as smooth if AB value is above than 1.0.
format	Conference or Workshop Item
author	Z. M., Hafizi Che Ku Eddy Nizwan, Che Ku Husin
author_facet	Z. M., Hafizi Che Ku Eddy Nizwan, Che Ku Husin
author_sort	Z. M., Hafizi
title	High Frequency Acoustic Signal Analysis for Internal Surface Pipe Roughness Classification
title_short	High Frequency Acoustic Signal Analysis for Internal Surface Pipe Roughness Classification
title_full	High Frequency Acoustic Signal Analysis for Internal Surface Pipe Roughness Classification
title_fullStr	High Frequency Acoustic Signal Analysis for Internal Surface Pipe Roughness Classification
title_full_unstemmed	High Frequency Acoustic Signal Analysis for Internal Surface Pipe Roughness Classification
title_sort	high frequency acoustic signal analysis for internal surface pipe roughness classification
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/1182/ http://umpir.ump.edu.my/id/eprint/1182/1/High_Frequency_Acoustic_Signal_Analysis_for_Internal_Surface_Pipe_Roughness_Classification.pdf
first_indexed	2023-09-18T21:54:06Z
last_indexed	2023-09-18T21:54:06Z
_version_	1777413963642830848

High Frequency Acoustic Signal Analysis for Internal Surface Pipe Roughness Classification

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