An Investigation of Acoustic Emission Signal Attenuation for Monitoring of Progressive Failure in Fiberglass Reinforced Composite Laminates

Glass fiber reinforced polymer (GFRP) laminates have a high damping characteristic which can retard ultra-high frequency guided wave signals from propagating along the plate. Owing to this, the identification of an effective area for sensor location is essential. Appropriate signal processing, inc...

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Main Authors:	Z. M., Hafizi, Epaarachchi, J., Lau, K. T.
Format:	Article
Language:	English
Published:	Universiti Malaysia Pahang 2013
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/6192/ http://umpir.ump.edu.my/id/eprint/6192/ http://umpir.ump.edu.my/id/eprint/6192/ http://umpir.ump.edu.my/id/eprint/6192/1/An_investigation_of_acoustic_emission_signal_attenuation_for_monitoring_of_progressive_failure_in_fiberglass_reinforced_composite_laminates.pdf

id	ump-6192
recordtype	eprints
spelling	ump-61922019-11-07T04:22:17Z http://umpir.ump.edu.my/id/eprint/6192/ An Investigation of Acoustic Emission Signal Attenuation for Monitoring of Progressive Failure in Fiberglass Reinforced Composite Laminates Z. M., Hafizi Epaarachchi, J. Lau, K. T. TJ Mechanical engineering and machinery Glass fiber reinforced polymer (GFRP) laminates have a high damping characteristic which can retard ultra-high frequency guided wave signals from propagating along the plate. Owing to this, the identification of an effective area for sensor location is essential. Appropriate signal processing, including wavelet analysis was done, in order to observe the details of an acoustic emission (AE) signal which was emitted at a distance from it source. This study reveals that it is necessary to consider the near field and far field effects of AE signal attenuation, in particular, to determine a composite's micro failure characterization. Consequently, this attenuation behavior was used to develop the non-velocity based source mapping to monitor the progressive failure in composite laminates. This paper details the outcomes of the signal energy attenuation method with an improved algorithm for progressive failure monitoring in fiberglass reinforced composite laminates and the 'effective length' for better AE detection. Universiti Malaysia Pahang 2013 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/6192/1/An_investigation_of_acoustic_emission_signal_attenuation_for_monitoring_of_progressive_failure_in_fiberglass_reinforced_composite_laminates.pdf Z. M., Hafizi and Epaarachchi, J. and Lau, K. T. (2013) An Investigation of Acoustic Emission Signal Attenuation for Monitoring of Progressive Failure in Fiberglass Reinforced Composite Laminates. International Journal of Automotive and Mechanical Engineering (IJAME), 8. pp. 1442-1456. ISSN 2229-8649 (Print); 2180-1606 (Online) http://dx.doi.org/10.15282/ijame.8.2013.31.0119 http://dx.doi.org/10.15282/ijame.8.2013.31.0119
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
spellingShingle	TJ Mechanical engineering and machinery Z. M., Hafizi Epaarachchi, J. Lau, K. T. An Investigation of Acoustic Emission Signal Attenuation for Monitoring of Progressive Failure in Fiberglass Reinforced Composite Laminates
description	Glass fiber reinforced polymer (GFRP) laminates have a high damping characteristic which can retard ultra-high frequency guided wave signals from propagating along the plate. Owing to this, the identification of an effective area for sensor location is essential. Appropriate signal processing, including wavelet analysis was done, in order to observe the details of an acoustic emission (AE) signal which was emitted at a distance from it source. This study reveals that it is necessary to consider the near field and far field effects of AE signal attenuation, in particular, to determine a composite's micro failure characterization. Consequently, this attenuation behavior was used to develop the non-velocity based source mapping to monitor the progressive failure in composite laminates. This paper details the outcomes of the signal energy attenuation method with an improved algorithm for progressive failure monitoring in fiberglass reinforced composite laminates and the 'effective length' for better AE detection.
format	Article
author	Z. M., Hafizi Epaarachchi, J. Lau, K. T.
author_facet	Z. M., Hafizi Epaarachchi, J. Lau, K. T.
author_sort	Z. M., Hafizi
title	An Investigation of Acoustic Emission Signal Attenuation for Monitoring of Progressive Failure in Fiberglass Reinforced Composite Laminates
title_short	An Investigation of Acoustic Emission Signal Attenuation for Monitoring of Progressive Failure in Fiberglass Reinforced Composite Laminates
title_full	An Investigation of Acoustic Emission Signal Attenuation for Monitoring of Progressive Failure in Fiberglass Reinforced Composite Laminates
title_fullStr	An Investigation of Acoustic Emission Signal Attenuation for Monitoring of Progressive Failure in Fiberglass Reinforced Composite Laminates
title_full_unstemmed	An Investigation of Acoustic Emission Signal Attenuation for Monitoring of Progressive Failure in Fiberglass Reinforced Composite Laminates
title_sort	investigation of acoustic emission signal attenuation for monitoring of progressive failure in fiberglass reinforced composite laminates
publisher	Universiti Malaysia Pahang
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6192/ http://umpir.ump.edu.my/id/eprint/6192/ http://umpir.ump.edu.my/id/eprint/6192/ http://umpir.ump.edu.my/id/eprint/6192/1/An_investigation_of_acoustic_emission_signal_attenuation_for_monitoring_of_progressive_failure_in_fiberglass_reinforced_composite_laminates.pdf
first_indexed	2023-09-18T22:01:46Z
last_indexed	2023-09-18T22:01:46Z
_version_	1777414445448822784

An Investigation of Acoustic Emission Signal Attenuation for Monitoring of Progressive Failure in Fiberglass Reinforced Composite Laminates

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