A remaining multiaxial ductility-based fracture toughness prediction model for metallic alloys
Predicting fracture toughness is an important part of developing an overall structural integrity
methodology for components. This study therefore tries to establish a fracture toughness …
methodology for components. This study therefore tries to establish a fracture toughness …
Prediction of fracture toughness using small specimens based on machine learning
J Pan, C Song - Theoretical and Applied Fracture Mechanics, 2024 - Elsevier
In this study, a neural network was used to predict the fracture toughness of standard
specimens of 16MnDR steel in the tough-brittle transition zone. The main factors such as …
specimens of 16MnDR steel in the tough-brittle transition zone. The main factors such as …
[HTML][HTML] Fracture Behavior and Mechanism of Nb-Si-Based Alloys with Heterogeneous Layered Structure
S Wang, X Wang, Z Wang, Z Sun, W Ye, Q Zhao - Materials, 2024 - mdpi.com
Novel Nb-Si-based alloys with heterogeneous layers that have the same composition (Nb-
16 at.% Si) but different phase morphologies were designed in this work. Heterogeneous …
16 at.% Si) but different phase morphologies were designed in this work. Heterogeneous …
Study on the Composition Design, Microstructure, Wear and Corrosion Resistant of Duplex Stainless Steels Based on Machine Learning
J Liang, N Lv, Z Xie, X Yin, S Chen, C Liu - Metals and Materials …, 2024 - Springer
Duplex stainless steels (DSS) had good wear and corrosion resistance, making them
potential substitutes instead of martensitic stainless steel as the material for water turbine …
potential substitutes instead of martensitic stainless steel as the material for water turbine …
[HTML][HTML] Accelerating the design of multivariate Nb-Si based alloys with excellent strength and toughness matching through machine learning
X Yin, J Liang, C Liu, S Chen, S Shang, C Liu - Next Materials, 2025 - Elsevier
Abstract The applications of Nb-Si-based alloys for new-generation engines are heavily
influenced by their strength and toughness. Therefore, accurately and effectively predicting …
influenced by their strength and toughness. Therefore, accurately and effectively predicting …
Establishment of critical non-depositing velocity prediction model for sediment in drip irrigation laterals based on PSO-SVM
C Wang, D Bai, Y Li, Q Zhang, X Ma, D Tian… - Journal of Cleaner …, 2024 - Elsevier
Accurately determining the critical non-depositing velocity for sediment (CNDVS) in drip
irrigation laterals is essential to address issues of sediment deposition and clogging in drip …
irrigation laterals is essential to address issues of sediment deposition and clogging in drip …
Electromagnetic shielding material database and machine learning preparing for laser cladding FeCo-based alloy
L Wang, S Chen, X Zhu, Z Fang… - Advances in Engineering …, 2024 - ewadirect.com
The compilation and preprocessing of electromagnetic shielding material databases using
machine learning techniques are pivotal in contemporary materials science and …
machine learning techniques are pivotal in contemporary materials science and …