An image recognition based multiaxial low-cycle fatigue life prediction method with CNN model

X Sun, T Zhou, K Song, X Chen - International Journal of Fatigue, 2023 - Elsevier
A CNN model for hysteresis loop image recognition is proposed to predict multiaxial low-
cycle fatigue life. The samples are two-channel dynamic hysteresis images made by half-life …

Ferrite formation and its effect on deformation mechanism of wire arc additive manufactured 308 L stainless steel

Y Li, Y Luo, J Li, D Song, B Xu, X Chen - Journal of Nuclear Materials, 2021 - Elsevier
Wire arc additive manufacturing (WAAM) with many superior characteristics, such as high
deposition rate, low cost, free shape, and environmental friendliness has attracted much …

Enhanced cryogenic tensile properties through cryogenic cyclic plastic strengthening in a metastable austenitic stainless steel

Z Wang, S Shi, J Yu, B Li, Y Li, X Chen - Scripta Materialia, 2023 - Elsevier
Pre-strain with large deformation is an effective method to improve the yield ratio of
metastable austenitic stainless steel, but it will lead to a significant reduction in elongation …

[HTML][HTML] Cyclic behaviour and microstructural evolution of metastable austenitic stainless steel 304l produced by laser powder bed fusion

M Šmíd, D Koutný, K Neumannová, Z Chlup… - Additive …, 2023 - Elsevier
It has been documented that the hierarchical character of microstructure produced by laser
powder bed fusion (L-PBF) is the key to superior mechanical properties. Especially …

A physics-guided modelling method of artificial neural network for multiaxial fatigue life prediction under irregular loading

T Zhou, X Sun, X Chen - Philosophical Transactions of …, 2023 - royalsocietypublishing.org
To improve the generalization of the artificial neural network (ANN) model on the prediction
of multiaxial irregular cases, a physics-guided modelling method is proposed with …

Enhancement of fatigue resistance of additively manufactured 304L SS by unique heterogeneous microstructure

H Zhang, M Xu, P Kumar, C Li, W Dai, Z Liu… - Virtual and Physical …, 2021 - Taylor & Francis
Selective laser melting (SLM), as a revolutionary technology for metal manufacturing,
attracts tremendous attention because it can produce complex components to benefit the …

Multiaxial isothermal and thermomechanical fatigue behavior of 316LN stainless steel

Q Lin, X Chen, Y Zheng, Z Zhang, G Chen… - International Journal of …, 2022 - Elsevier
Abstract Effects of multiaxial loading on the isothermal fatigue (IF) and thermomechanical
fatigue (TMF) behavior of 316LN stainless steel were comparatively studied. Results …

Comparison of critical plane models based on multiaxial low-cycle fatigue tests of 316L steel

L Poczklán, J Polák, T Kruml - International Journal of Fatigue, 2023 - Elsevier
An endurance against multiaxial fatigue of 316L steel is studied. A fatigue life curve of
torsional mode is substantially shifted to longer fatigue lives while tension/compression …

Fatigue and tensile deformation behaviors of laser powder bed fused 304L austenitic stainless steel

H Zhang, C Li, Y Shi, G Yao, Y Zhang - Materials Science and Engineering …, 2022 - Elsevier
Unique microstructure equilibrium state induced by the laser powder bed fusion (LPBF)
process endows the deposited metallic parts with excellent mechanical properties. However …

Measurement and modeling of deformation-induced martensitic transformation in a metastable austenitic stainless steel under cyclic loadings

C Luo, H Yuan - Acta Materialia, 2022 - Elsevier
Deformation-induced martensitic transformation (DIMT) under cyclic loading in metastable
austenitic steel AISI 348 was in-situ monitored through the magnetic permeability method …