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Full-Range Fatigue Life Prediction of Metallic Materials Using Tanaka-Mura-Wu Model
Journal Article
05-15-02-0010
ISSN: 1946-3979, e-ISSN: 1946-3987
Sector:
Topic:
Citation:
Li, S., Wu, X., Liu, R., and Zhang, Z., "Full-Range Fatigue Life Prediction of Metallic Materials Using Tanaka-Mura-Wu Model," SAE Int. J. Mater. Manf. 15(2):133-153, 2022, https://doi.org/10.4271/05-15-02-0010.
Language:
English
Abstract:
In this research, the recently developed Tanaka-Mura-Wu (TMW) model is applied to
common engineering materials including Ni-base superalloys Haynes 282 and
Inconel 617, aluminum alloys 7075-T6 and 2024-T3, alloy steels SAE 4340 and SAE
1020, and titanium alloy Ti-6Al-4V, as well as a high-entropy alloy (HEA)
CoCrFeMnNi over the full fatigue range comprised of low-cycle fatigue (LCF) and
high-cycle fatigue (HCF). Through the analysis, it is shown that the TMW model
is able to provide class A prediction for LCF (forecast before the event occurs)
without resorting to fatigue testing; and with calibration at one stress level,
it can be extended to the HCF regime. A relationship of fatigue life versus the
total strain is established with the use of the Ramberg-Osgood equation. The TMW
model predictions agree well with the experimental data and/or the
Coffin-Manson-Basquin relation for the above materials. The TMW model describes
the full-range fatigue life in terms of material’s elastic modulus, Poisson’s
ratio, surface energy, and the Burgers vector. Thus it establishes a
physics-based baseline for characterizing the effects of other contributing
factors such as microstructure and surface roughness, which contribute to the
uncertainty in the fatigue scatter.