Technical Papers
Mar 19, 2019

Numerical Evaluation of Fatigue Crack Growth Rate of Hot-Rolled 16Mn Steel Based on Compliance Method

Publication: Journal of Engineering Mechanics
Volume 145, Issue 6

Abstract

Reliable evaluation of the fatigue crack growth rates in different kinds of specimen is necessary for the design of engineering components working in fatigue-load conditions. In this study, a new numerical model for evaluation of the fatigue crack growth rate in a three-point-bend specimen was proposed on the basis of compliance method. A three-point-bending fatigue test machine with a displacement-controlled loading system was developed to measure decrease of the fatigue load due to increase of the compliance of the specimen caused by crack growth. Evaluation of the fatigue crack growth rates of hot-rolled 16Mn steel was carried out using the test machine and the numerical model. The analysis results of the crack growth rates revealed different tendencies of slope for the former and latter processes of the subcritical propagation. Paris’s constants of hot-rolled 16Mn steel for the former process were obtained as c=1.17×109 and m=4.47, whereas the same parameters for the latter process were obtained as c=3.09×105 and m=0.84. The threshold value of the stress-intensity factor range for the material was determined as ΔKth=10.8  MPam.

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Acknowledgments

H.J. Song is grateful to the NCST (National Committee of Science and Technology) for giving the financial support needed for the development of the bending fatigue test machine with a displacement-controlled loading system.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 145Issue 6June 2019

History

Received: Apr 24, 2018
Accepted: Oct 5, 2018
Published online: Mar 19, 2019
Published in print: Jun 1, 2019
Discussion open until: Aug 19, 2019

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Authors

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Hak Jin Song [email protected]
Associate Professor, Dept. of Mechanics of Materials, Kim Chaek Univ. of Technology, Pyongyang, Democratic People’s Republic of Korea (corresponding author). Email: [email protected]
Sun Jong Jon
Associate Professor, Laboratory of Power-Driven Machine, Kim Chaek Univ. of Technology, Pyongyang, Democratic People’s Republic of Korea.
Gi Chol Yang
Professor, Dept. of Scientific Research, Kim Chaek Univ. of Technology, Pyongyang, Democratic People’s Republic of Korea.

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