Gigacycle Fatigue Behavior of 1800 MPa Grade High Strength Spring Steel for Automobile Lightweight

Gigacycle fatigue behavior of 60Si2CrVA high strength spring steel was investigated by ultrasonic fatigue test machine. Fatigue fractography was observed by scanning electron microscopy (SEM). Maximum inclusion sizes and fatigue strength in different volumes were estimated by statistics of extreme v...

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Bibliographic Details
Published in:Journal of iron and steel research, international international, 2014-06, Vol.21 (6), p.614-618
Main Authors: ZHANG, Ji-ming, JI, Ling-kang, BAO, Dong-jie, FENG, Yao-rong, LI, Shou-xin, WENG, Yu-qing
Format: Article
Language:English
Subjects:
Applied and Technical Physics
Engineering
Fatigue (materials)
Fatigue limit
Fatigue strength
fish-eye
fractography
generalized Pareto distribution (GPD)
gigacycle fatigue
High strength
inclusion
Inclusions
Iron and steel industry
Machines
Manufacturing
Materials Engineering
Materials Science
Metallic Materials
Physical Chemistry
Processes
S-N curve
Spring steels
statistics of extreme value (SEV)
Ultrasonic testing
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Summary:Gigacycle fatigue behavior of 60Si2CrVA high strength spring steel was investigated by ultrasonic fatigue test machine. Fatigue fractography was observed by scanning electron microscopy (SEM). Maximum inclusion sizes and fatigue strength in different volumes were estimated by statistics of extreme values (SEV) and generalized Pareto distribution (GPD) methods. The results showed that S-N curves of 60Si2CrVA spring steels for two rolling processes were not horizontal asymptotes but a gradient in a regime of 109 cycles, and traditional fatigue limits were eliminated. Surface machined topography and inclusions in steel were major factors that led to elimination of fatigue limit for 60Si2CrVA spring steel. The SEV and GPD methods could effectively predict size of the maximum inclusion and fatigue strength in different volumes of 60Si2CrVA spring steel. Predicted fatigue strength was in accordance with experimental results by ultrasonic fatigue testing.
ISSN:1006-706X
2210-3988
DOI:10.1016/S1006-706X(14)60095-9