Quantitative relationship between strain and acoustic emission response in monitoring fatigue damage

M. Mohammad, Shahrum Abdullah, Nordin Jamaludin, O. Innayatullah

Research output: Contribution to journalArticle

Abstract

This study was carried out to investigate the relationship between the strain and acoustic emission (AE) signals, thus, to confirm the capability of AE technique to monitor the fatigue failure mechanism of a steel component. To achieve this goal, strain and AE signals were captured on the steel specimen during the cyclic fatigue test. Both signals were collected using specific data acquisition system by attaching the strain gauge and AE piezoelectric transducer simultaneously at the specimen during the test. The stress loading used for the test was set at 600 MPa, and the specimens were fabricated using the SAE 1045 carbon steel. The related parameters for both signals were determined at every 2000 seconds until the specimen failed. It was found that a meaningful correlation of all parameters, i.e. amplitude, kurtosis and energy, was established. Finally, all AE parameters are correlated with the damage values, which have been estimated using the Coffin-Manson model. Hence, it was suggested that the AE technique can be used as a monitoring tool for fatigue failure mechanism in a steel component.

Original languageEnglish
Pages (from-to)43-47
Number of pages5
JournalJurnal Teknologi (Sciences and Engineering)
Volume66
Issue number1
DOIs
Publication statusPublished - 2013

Fingerprint

Fatigue damage
Acoustic emissions
Monitoring
Fatigue of materials
Steel
Piezoelectric transducers
Strain gages
Carbon steel
Data acquisition

Keywords

  • Acoustic emission
  • Failure
  • Fatigue
  • Steel
  • Strain

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Quantitative relationship between strain and acoustic emission response in monitoring fatigue damage. / Mohammad, M.; Abdullah, Shahrum; Jamaludin, Nordin; Innayatullah, O.

In: Jurnal Teknologi (Sciences and Engineering), Vol. 66, No. 1, 2013, p. 43-47.

Research output: Contribution to journalArticle

@article{ab045351d8f748c5840a0fc099840bcd,
title = "Quantitative relationship between strain and acoustic emission response in monitoring fatigue damage",
abstract = "This study was carried out to investigate the relationship between the strain and acoustic emission (AE) signals, thus, to confirm the capability of AE technique to monitor the fatigue failure mechanism of a steel component. To achieve this goal, strain and AE signals were captured on the steel specimen during the cyclic fatigue test. Both signals were collected using specific data acquisition system by attaching the strain gauge and AE piezoelectric transducer simultaneously at the specimen during the test. The stress loading used for the test was set at 600 MPa, and the specimens were fabricated using the SAE 1045 carbon steel. The related parameters for both signals were determined at every 2000 seconds until the specimen failed. It was found that a meaningful correlation of all parameters, i.e. amplitude, kurtosis and energy, was established. Finally, all AE parameters are correlated with the damage values, which have been estimated using the Coffin-Manson model. Hence, it was suggested that the AE technique can be used as a monitoring tool for fatigue failure mechanism in a steel component.",
keywords = "Acoustic emission, Failure, Fatigue, Steel, Strain",
author = "M. Mohammad and Shahrum Abdullah and Nordin Jamaludin and O. Innayatullah",
year = "2013",
doi = "10.11113/jt.v66.1349",
language = "English",
volume = "66",
pages = "43--47",
journal = "Jurnal Teknologi",
issn = "0127-9696",
publisher = "Penerbit Universiti Teknologi Malaysia",
number = "1",

}

TY - JOUR

T1 - Quantitative relationship between strain and acoustic emission response in monitoring fatigue damage

AU - Mohammad, M.

AU - Abdullah, Shahrum

AU - Jamaludin, Nordin

AU - Innayatullah, O.

PY - 2013

Y1 - 2013

N2 - This study was carried out to investigate the relationship between the strain and acoustic emission (AE) signals, thus, to confirm the capability of AE technique to monitor the fatigue failure mechanism of a steel component. To achieve this goal, strain and AE signals were captured on the steel specimen during the cyclic fatigue test. Both signals were collected using specific data acquisition system by attaching the strain gauge and AE piezoelectric transducer simultaneously at the specimen during the test. The stress loading used for the test was set at 600 MPa, and the specimens were fabricated using the SAE 1045 carbon steel. The related parameters for both signals were determined at every 2000 seconds until the specimen failed. It was found that a meaningful correlation of all parameters, i.e. amplitude, kurtosis and energy, was established. Finally, all AE parameters are correlated with the damage values, which have been estimated using the Coffin-Manson model. Hence, it was suggested that the AE technique can be used as a monitoring tool for fatigue failure mechanism in a steel component.

AB - This study was carried out to investigate the relationship between the strain and acoustic emission (AE) signals, thus, to confirm the capability of AE technique to monitor the fatigue failure mechanism of a steel component. To achieve this goal, strain and AE signals were captured on the steel specimen during the cyclic fatigue test. Both signals were collected using specific data acquisition system by attaching the strain gauge and AE piezoelectric transducer simultaneously at the specimen during the test. The stress loading used for the test was set at 600 MPa, and the specimens were fabricated using the SAE 1045 carbon steel. The related parameters for both signals were determined at every 2000 seconds until the specimen failed. It was found that a meaningful correlation of all parameters, i.e. amplitude, kurtosis and energy, was established. Finally, all AE parameters are correlated with the damage values, which have been estimated using the Coffin-Manson model. Hence, it was suggested that the AE technique can be used as a monitoring tool for fatigue failure mechanism in a steel component.

KW - Acoustic emission

KW - Failure

KW - Fatigue

KW - Steel

KW - Strain

UR - http://www.scopus.com/inward/record.url?scp=84891384480&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84891384480&partnerID=8YFLogxK

U2 - 10.11113/jt.v66.1349

DO - 10.11113/jt.v66.1349

M3 - Article

VL - 66

SP - 43

EP - 47

JO - Jurnal Teknologi

JF - Jurnal Teknologi

SN - 0127-9696

IS - 1

ER -