Abstract
The increased demand and requirements for high-strength
steels drives the need to better understand and predict
the fatigue endurance and crack growth challenges related
to their use in critical machine components. Non-metallic
inclusions or defects in the steel become increasingly
important as the hardness or strength of the steel
increases. The distribution and the ability to predict
the largest inclusion that causes failure is crucial for
the proper and successful design and production of the
components.
The extreme value distribution is effective in predicting
the maximum inclusion in a volume of steel. The proper
prediction and use of inclusion data gathered from
polished specimen as well as differences in anisotropy
are important to consider when gathering data for use in
design and prediction of fatigue life or failure. The
difference in non-metallic inclusions and the forging
direction affects the distribution of the size of the
inclusions as well as the fatigue endurance limit and its
scatter of the steel. The extreme value distributions
combined with the Murakami-Endo model are used as a
design approach for fatigue failure for components with
ultra-long fatigue lives and step loading. This design
approach uses the master curve for Optically Dark Area
(ODA) growth obtained by Murakami et al. and combines it
with the prediction of the largest non-metallic inclusion
along with the estimate of the fatigue life of the
component.
The initiation and growth of small cracks from inclusions
as well as small Focused Ion Beam (FIB) notches behave in
a similar manner and show a strong tendency to follow the
local microstructure. The effect of the local
microstructure on the small fatigue crack growth is
studied using FIB milling to create cross-sections of the
microstructure. This showed that the microstructure is
also linked to the formation of ODA around non-metallic
inclusions in ultra-long fatigue. The behaviour of a
small crack growing from notches in high cycle fatigue is
studied by using high-speed microscopy and Rumul fatigue
testing machines. The test results show that small cracks
initiate and grow quickly in the beginning of the fatigue
life after which they propagate slowly at a stress
intensity range lower than the large crack growth
threshold until it is reached.
Comparing different data results for different R-ratios
shows that the parameter ?K+ works well to compare the
crack growth rate of small cracks in the studied quenched
and tempered steel. For crack arrest the ?K+ or Kmax
thresholds are lower for cracks with higher compressive
loading. Also test results showed that increasing only
the compressive portion of loading can reinitiate
arrested.
| Original language | English |
|---|---|
| Qualification | Doctor Degree |
| Awarding Institution |
|
| Supervisors/Advisors |
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| Award date | 27 Oct 2017 |
| Place of Publication | Espoo |
| Publisher | |
| Print ISBNs | 978-952-60-7649-2, 978-951-38-8579-3 |
| Electronic ISBNs | 978-952-60-7648-5, 978-951-38-8578-6 |
| Publication status | Published - 2017 |
| MoE publication type | G5 Doctoral dissertation (article) |
Keywords
- non-metallic inclusions
- small crack growth
- fatigue
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Dive into the research topics of 'Interaction of non-metallic inclusions, microstructure, and fatigue loading with small crack growth in high-strength steels: Dissertation'. Together they form a unique fingerprint.Research output
- 2 Article
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Behavior of small cracks under negative stress ratio fatigue loading
Roiko, A., Solin, J. & Hänninen, H., 2017, In: International Journal of Fatigue. 104, p. 379-388Research output: Contribution to journal › Article › Scientific › peer-review
7 Link opens in a new tab Citations (Scopus) -
The paths of small fatigue cracks in high-strength steels initiated from inclusions and small defects
Roiko, A., Solin, J., Sarikka, T. & Hänninen, H., 19 Oct 2017, In: Materials Performance and Characterization. 6, 1, p. 388-403Research output: Contribution to journal › Article › Scientific › peer-review
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