Full-range fatigue life prediction of metallic materials using Tanaka-Mura-Wu model

SAE-PP-00164

8/7/2021

Authors
Abstract
Content
In this research, the recently developed Tanaka-Mura-Wu (TMW) model is applied to common engineering materials including nickel-based 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 high entropy alloy (HEA) CoCrFeMnNi over the full fatigue range comprised of low cycle fatigue (LCF) and high cycle fatigue (HCF). The TMW model is shown to provide class A prediction (forecast before the event occurs) of fatigue life in terms of material’s elastic modulus, Poisson ratio, surface energy and Burgers vector. The prediction results agree well with experimental data and/or the Coffin Manson-Basquin fitting curves for the selected materials. This provides an efficient way to evaluate fatigue life, significantly reducing the number of tests required to generate data for regression analysis. Attribution of fatigue scatter to surface roughness and microstructure is discussed through the sensitivity analysis.
Meta TagsDetails
DOI
https://doi.org/10.47953/SAE-PP-00164
Citation
Li, S., Liu, R., Wu, X., and Zhang, Z., "Full-range fatigue life prediction of metallic materials using Tanaka-Mura-Wu model," SAE MobilityRxiv™ Preprint, submitted August 7, 2021, https://doi.org/10.47953/SAE-PP-00164.
Additional Details
Publisher
Published
8/7/2021
Product Code
SAE-PP-00164
Content Type
Pre-Print Article
Language
English