Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 225-234 |
| Seitenumfang | 10 |
| Fachzeitschrift | Materials Science and Engineering A |
| Jahrgang | 517 |
| Ausgabenummer | 1-2 |
| Publikationsstatus | Veröffentlicht - 20 Aug. 2009 |
| Extern publiziert | Ja |
Abstract
The digital image correlation (DIC) technique was successfully utilized to detect fatigue-induced damage and monitor its evolution in ultrafine-grained interstitial-free steels of three different microstructures in the low-cycle fatigue regime. Specifically, visualization of strain localization with DIC allows for detecting the crack initiation sites after only a few cycles into the deformation. Furthermore, optical microscopy, atomic force microscopy and electron backscatter diffraction analyses revealed a direct correlation between elongated grains and the crack initiation sites. The results of a crystal plasticity model demonstrated that higher overall stresses are prevalent in the microstructures with elongated grains, which is attributed to strain localizations, and corresponding stress concentrations responsible for crack initiation. Overall, the current findings show that DIC is a novel and promising non-destructive technique for determining the crack initiation sites at the very early stages of cyclic deformation.
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Allgemeine Materialwissenschaften
- Physik und Astronomie (insg.)
- Physik der kondensierten Materie
- Ingenieurwesen (insg.)
- Werkstoffmechanik
- Ingenieurwesen (insg.)
- Maschinenbau
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in: Materials Science and Engineering A, Jahrgang 517, Nr. 1-2, 20.08.2009, S. 225-234.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Monitoring the fatigue-induced damage evolution in ultrafine-grained interstitial-free steel utilizing digital image correlation
AU - Niendorf, T.
AU - Dadda, J.
AU - Canadinc, D.
AU - Maier, H. J.
AU - Karaman, I.
PY - 2009/8/20
Y1 - 2009/8/20
N2 - The digital image correlation (DIC) technique was successfully utilized to detect fatigue-induced damage and monitor its evolution in ultrafine-grained interstitial-free steels of three different microstructures in the low-cycle fatigue regime. Specifically, visualization of strain localization with DIC allows for detecting the crack initiation sites after only a few cycles into the deformation. Furthermore, optical microscopy, atomic force microscopy and electron backscatter diffraction analyses revealed a direct correlation between elongated grains and the crack initiation sites. The results of a crystal plasticity model demonstrated that higher overall stresses are prevalent in the microstructures with elongated grains, which is attributed to strain localizations, and corresponding stress concentrations responsible for crack initiation. Overall, the current findings show that DIC is a novel and promising non-destructive technique for determining the crack initiation sites at the very early stages of cyclic deformation.
AB - The digital image correlation (DIC) technique was successfully utilized to detect fatigue-induced damage and monitor its evolution in ultrafine-grained interstitial-free steels of three different microstructures in the low-cycle fatigue regime. Specifically, visualization of strain localization with DIC allows for detecting the crack initiation sites after only a few cycles into the deformation. Furthermore, optical microscopy, atomic force microscopy and electron backscatter diffraction analyses revealed a direct correlation between elongated grains and the crack initiation sites. The results of a crystal plasticity model demonstrated that higher overall stresses are prevalent in the microstructures with elongated grains, which is attributed to strain localizations, and corresponding stress concentrations responsible for crack initiation. Overall, the current findings show that DIC is a novel and promising non-destructive technique for determining the crack initiation sites at the very early stages of cyclic deformation.
KW - Digital image correlation
KW - Fatigue
KW - Non-destructive testing
KW - Ultrafine-grained material
KW - Visco-plastic self-consistent modeling
UR - http://www.scopus.com/inward/record.url?scp=67649400541&partnerID=8YFLogxK
U2 - 10.1016/j.msea.2009.04.053
DO - 10.1016/j.msea.2009.04.053
M3 - Article
AN - SCOPUS:67649400541
VL - 517
SP - 225
EP - 234
JO - Materials Science and Engineering A
JF - Materials Science and Engineering A
SN - 0921-5093
IS - 1-2
ER -