Evaluation of defect-related fatigue performance of additive manufacturing GH4169 via small punch test
X Wang, L Xu, L Zhao, Y Han - Theoretical and Applied Fracture Mechanics, 2023 - Elsevier
Suffering from irregularly distributed defects, the fatigue performance of additive
manufacturing (AM) GH4169 was scattered and difficult to evaluate. Therefore, the micro …
manufacturing (AM) GH4169 was scattered and difficult to evaluate. Therefore, the micro …
Machine learning method for estimating the defect-related mechanical properties of additive manufactured alloys
X Wang, L Xu, L Zhao, W Ren, Q Li, Y Han - Engineering Fracture …, 2023 - Elsevier
The mechanical properties of the additive manufactured (AM) nickel-based alloys: GH4169
and Hastelloy X were estimated via small punch tensile (SPT) tests. The surface defects of …
and Hastelloy X were estimated via small punch tensile (SPT) tests. The surface defects of …
A machine learning method for HTLCF life prediction of titanium aluminum alloys with consideration of manufacturing processes
H Yang, J Gao, P Zhu, Q Cheng, F Heng… - Engineering Fracture …, 2023 - Elsevier
Most conventional methods only consider the effects of materials and loading conditions
when predicting the high-temperature low-cycle fatigue life of titanium aluminum alloys …
when predicting the high-temperature low-cycle fatigue life of titanium aluminum alloys …
A deep learning-based approach for crack damage detection using strain field
Z Huang, D Chang, X Yang, H Zuo - Engineering Fracture Mechanics, 2023 - Elsevier
This paper proposes a novel approach that utilizes a deep convolutional neural network
(DCNN) for crack damage detection in thin plates. The DCNN model converts the detection …
(DCNN) for crack damage detection in thin plates. The DCNN model converts the detection …
Using deep learning method to predict dimensionless values of stress intensity factors and T‐stress of edge notch disk bend (ENDB) specimen
M Hassani Niaki, M Pashaian - Fatigue & Fracture of …, 2024 - Wiley Online Library
A deep learning (DL) approach is implemented to determine the dimensionless stress
intensity factors of mode‐I (YI) and mode‐III (YIII), as well as the normalized T‐stress (T*) of …
intensity factors of mode‐I (YI) and mode‐III (YIII), as well as the normalized T‐stress (T*) of …
Unlocking the strength: the predictions of silicon carbide fracture toughness revealed through data-driven approach
J Xu, X Zhu, Q Liu, S Du, Y Zhang - Materials Research Express, 2024 - iopscience.iop.org
Silicon carbide ceramics are widely used within various applications, including mechanical,
chemical, aerospace and military; where the fracture toughness plays a crucial role. From …
chemical, aerospace and military; where the fracture toughness plays a crucial role. From …