On the need to correlate acoustic emission and fatigue strain signals associated to metallic component life assessment

M. Mohammad, Shahrum Abdullah, N. Jamaluddin, M. M. Padzi

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This study discusses the relationship between signals collected from two different sensors, i.e. strain gauges and acoustic emission (AE) piezoelectric transducer in order to assess fatigue failure of metallic components. Both sensors were attached to the SAE 1045 steel specimen during fatigue cyclic test at constant load condition. Three different loads were applied to a specimen during the test in order to observe the different behaviour of the signals. The measured strain loadings were analysed in order to obtain the predicted fatigue life values experienced by the specimens using the three strain-life fatigue models; Coffin-Manson, Morrow and Smith-Watson-Topper. The experimental fatigue lives were based on the number of cycles to failure from the servo-hydraulic fatigue testing machine during the test. In addition, the obtained AE signals were analysed using the global statistical values of the root mean square (r.m.s) and the kurtosis. Thus, a correlation between experiment and predicted value of fatigue life was established. Apart of that, a good correlation between the AE parameters (r.m.s and kurtosis) and the value of predicted fatigue life was also established to confirm that AE technique can be one of tool to predict structural life besides other methods.

Original languageEnglish
Pages (from-to)78-82
Number of pages5
JournalInternational Journal of Mechanical and Materials Engineering
Volume7
Issue number1
Publication statusPublished - Apr 2012

Fingerprint

Acoustic emissions
Fatigue of materials
Piezoelectric transducers
Fatigue testing
Steel
Sensors
Strain gages
Hydraulics
Experiments

Keywords

  • AE
  • Correlation
  • Fatigue life
  • Statistical approach

ASJC Scopus subject areas

  • Mechanical Engineering
  • Mechanics of Materials
  • Materials Science(all)

Cite this

On the need to correlate acoustic emission and fatigue strain signals associated to metallic component life assessment. / Mohammad, M.; Abdullah, Shahrum; Jamaluddin, N.; Padzi, M. M.

In: International Journal of Mechanical and Materials Engineering, Vol. 7, No. 1, 04.2012, p. 78-82.

Research output: Contribution to journalArticle

@article{139807e380be4c5dbc58faddc82f58fd,
title = "On the need to correlate acoustic emission and fatigue strain signals associated to metallic component life assessment",
abstract = "This study discusses the relationship between signals collected from two different sensors, i.e. strain gauges and acoustic emission (AE) piezoelectric transducer in order to assess fatigue failure of metallic components. Both sensors were attached to the SAE 1045 steel specimen during fatigue cyclic test at constant load condition. Three different loads were applied to a specimen during the test in order to observe the different behaviour of the signals. The measured strain loadings were analysed in order to obtain the predicted fatigue life values experienced by the specimens using the three strain-life fatigue models; Coffin-Manson, Morrow and Smith-Watson-Topper. The experimental fatigue lives were based on the number of cycles to failure from the servo-hydraulic fatigue testing machine during the test. In addition, the obtained AE signals were analysed using the global statistical values of the root mean square (r.m.s) and the kurtosis. Thus, a correlation between experiment and predicted value of fatigue life was established. Apart of that, a good correlation between the AE parameters (r.m.s and kurtosis) and the value of predicted fatigue life was also established to confirm that AE technique can be one of tool to predict structural life besides other methods.",
keywords = "AE, Correlation, Fatigue life, Statistical approach",
author = "M. Mohammad and Shahrum Abdullah and N. Jamaluddin and Padzi, {M. M.}",
year = "2012",
month = "4",
language = "English",
volume = "7",
pages = "78--82",
journal = "International Journal of Mechanical and Materials Engineering",
issn = "1823-0334",
publisher = "University of Malaya",
number = "1",

}

TY - JOUR

T1 - On the need to correlate acoustic emission and fatigue strain signals associated to metallic component life assessment

AU - Mohammad, M.

AU - Abdullah, Shahrum

AU - Jamaluddin, N.

AU - Padzi, M. M.

PY - 2012/4

Y1 - 2012/4

N2 - This study discusses the relationship between signals collected from two different sensors, i.e. strain gauges and acoustic emission (AE) piezoelectric transducer in order to assess fatigue failure of metallic components. Both sensors were attached to the SAE 1045 steel specimen during fatigue cyclic test at constant load condition. Three different loads were applied to a specimen during the test in order to observe the different behaviour of the signals. The measured strain loadings were analysed in order to obtain the predicted fatigue life values experienced by the specimens using the three strain-life fatigue models; Coffin-Manson, Morrow and Smith-Watson-Topper. The experimental fatigue lives were based on the number of cycles to failure from the servo-hydraulic fatigue testing machine during the test. In addition, the obtained AE signals were analysed using the global statistical values of the root mean square (r.m.s) and the kurtosis. Thus, a correlation between experiment and predicted value of fatigue life was established. Apart of that, a good correlation between the AE parameters (r.m.s and kurtosis) and the value of predicted fatigue life was also established to confirm that AE technique can be one of tool to predict structural life besides other methods.

AB - This study discusses the relationship between signals collected from two different sensors, i.e. strain gauges and acoustic emission (AE) piezoelectric transducer in order to assess fatigue failure of metallic components. Both sensors were attached to the SAE 1045 steel specimen during fatigue cyclic test at constant load condition. Three different loads were applied to a specimen during the test in order to observe the different behaviour of the signals. The measured strain loadings were analysed in order to obtain the predicted fatigue life values experienced by the specimens using the three strain-life fatigue models; Coffin-Manson, Morrow and Smith-Watson-Topper. The experimental fatigue lives were based on the number of cycles to failure from the servo-hydraulic fatigue testing machine during the test. In addition, the obtained AE signals were analysed using the global statistical values of the root mean square (r.m.s) and the kurtosis. Thus, a correlation between experiment and predicted value of fatigue life was established. Apart of that, a good correlation between the AE parameters (r.m.s and kurtosis) and the value of predicted fatigue life was also established to confirm that AE technique can be one of tool to predict structural life besides other methods.

KW - AE

KW - Correlation

KW - Fatigue life

KW - Statistical approach

UR - http://www.scopus.com/inward/record.url?scp=84861469855&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84861469855&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84861469855

VL - 7

SP - 78

EP - 82

JO - International Journal of Mechanical and Materials Engineering

JF - International Journal of Mechanical and Materials Engineering

SN - 1823-0334

IS - 1

ER -