Abstract
The Weibull distribution has been widely used in predicting fatigue life of various materials. In this paper, the Weibull distribution plot is proposed in predicting fatigue life of carbon steel. The specimens made of SAE 1045 steel have been exposed to the cyclic test with five different loadings. The strain gauge has been attached on the specimen to collect the strain events. The cyclic tests were carried out at condition of R=-1 and at frequency of 8 Hz. The collected signals were then analysed based on the strain life model of Coffin-Manson, Smith-Watson-Topper and Morrow. These models provide the basis in predicting the fatigue life of SAE 1045 carbon steel. Statistical analysis was carried out to determine the strain range, root means square (r.m.s) and kurtosis value. From the Weibull distribution probability plots, fatigue lives was predicted for SAE 1045 carbon steel based on the given parameters. All plots fitted very well within the 95% confidence interval of the Weibull distribution. Hence, Weibull distribution was suggested to be used as one of assessment tool for fatigue life prediction.
| Original language | English |
|---|---|
| Pages (from-to) | 165-180 |
| Number of pages | 16 |
| Journal | Journal of Mechanical Engineering |
| Volume | 5 |
| Issue number | Specialissue1 |
| Publication status | Published - 1 Jan 2018 |
| Externally published | Yes |
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Keywords
- Carbon steel
- Fatigue life
- Statistical analysis
- Strain
- Weibull distribution introduction
ASJC Scopus subject areas
- Mechanical Engineering
Cite this
Fatigue life assessment of SAE 1045 carbon steel under strain events using the Weibull distribution. / Mohammad, Mazian; Abdullah, Shahrum; Jamaludin, Nordin; Innayatullah, Othman; Mohammad, M.; Abdullah, S.; Jamaludin, N.; Innayatullah, O.
In: Journal of Mechanical Engineering, Vol. 5, No. Specialissue1, 01.01.2018, p. 165-180.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Fatigue life assessment of SAE 1045 carbon steel under strain events using the Weibull distribution
AU - Mohammad, Mazian
AU - Abdullah, Shahrum
AU - Jamaludin, Nordin
AU - Innayatullah, Othman
AU - Mohammad, M.
AU - Abdullah, S.
AU - Jamaludin, N.
AU - Innayatullah, O.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - The Weibull distribution has been widely used in predicting fatigue life of various materials. In this paper, the Weibull distribution plot is proposed in predicting fatigue life of carbon steel. The specimens made of SAE 1045 steel have been exposed to the cyclic test with five different loadings. The strain gauge has been attached on the specimen to collect the strain events. The cyclic tests were carried out at condition of R=-1 and at frequency of 8 Hz. The collected signals were then analysed based on the strain life model of Coffin-Manson, Smith-Watson-Topper and Morrow. These models provide the basis in predicting the fatigue life of SAE 1045 carbon steel. Statistical analysis was carried out to determine the strain range, root means square (r.m.s) and kurtosis value. From the Weibull distribution probability plots, fatigue lives was predicted for SAE 1045 carbon steel based on the given parameters. All plots fitted very well within the 95% confidence interval of the Weibull distribution. Hence, Weibull distribution was suggested to be used as one of assessment tool for fatigue life prediction.
AB - The Weibull distribution has been widely used in predicting fatigue life of various materials. In this paper, the Weibull distribution plot is proposed in predicting fatigue life of carbon steel. The specimens made of SAE 1045 steel have been exposed to the cyclic test with five different loadings. The strain gauge has been attached on the specimen to collect the strain events. The cyclic tests were carried out at condition of R=-1 and at frequency of 8 Hz. The collected signals were then analysed based on the strain life model of Coffin-Manson, Smith-Watson-Topper and Morrow. These models provide the basis in predicting the fatigue life of SAE 1045 carbon steel. Statistical analysis was carried out to determine the strain range, root means square (r.m.s) and kurtosis value. From the Weibull distribution probability plots, fatigue lives was predicted for SAE 1045 carbon steel based on the given parameters. All plots fitted very well within the 95% confidence interval of the Weibull distribution. Hence, Weibull distribution was suggested to be used as one of assessment tool for fatigue life prediction.
KW - Carbon steel
KW - Fatigue life
KW - Statistical analysis
KW - Strain
KW - Weibull distribution introduction
UR - http://www.scopus.com/inward/record.url?scp=85052602651&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052602651&partnerID=8YFLogxK
M3 - Article
VL - 5
SP - 165
EP - 180
JO - Journal of Mechanical Engineering
JF - Journal of Mechanical Engineering
SN - 1823-5514
IS - Specialissue1
ER -