Full Range Fatigue Life Prediction of Metallic Materials Using Tanaka-Mura Wu Model

被引:8
|
作者
Li, Siqi [1 ]
Wu, Xijia [2 ]
Liu, Rong [1 ]
Zhang, Zhong [2 ]
机构
[1] Carleton Univ, Dept Mech & Aerosp Engn, Ottawa, ON K1S 5B6, Canada
[2] Natl Res Council Canada, Inst Aerosp Res, Struct & Mat Performance Lab, Ottawa, ON K1A 0R6, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Tanaka-Mura-Wu model; Coffin-Manson-Basquin relation; Low-cycle fatigue; High-cycle fatigue; Fatigue life prediction; LOW-CYCLE FATIGUE; TEMPERATURE; BEHAVIOR; ALLOY; DISC;
D O I
10.4271/05-15-02-0010
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
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-6AI-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.
引用
收藏
页码:133 / 153
页数:21
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