Residual stress in engineering materials: a review
The accurate determination of residual stresses has a crucial role in understanding the
complex interactions between microstructure, mechanical state, mode (s) of failure, and …
complex interactions between microstructure, mechanical state, mode (s) of failure, and …
Stressgan: A generative deep learning model for two-dimensional stress distribution prediction
Using deep learning to analyze mechanical stress distributions is gaining interest with the
demand for fast stress analysis. Deep learning approaches have achieved excellent …
demand for fast stress analysis. Deep learning approaches have achieved excellent …
Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems
Safe and reliable operation of power plants invariably relies on the structural integrity
assessments of pressure vessels and pi** systems. Welded joints are a potential source …
assessments of pressure vessels and pi** systems. Welded joints are a potential source …
[HTML][HTML] Evaluation of plastic properties and equi-biaxial residual stress via indentation and ANN
G Han, B Lee, S Lee, C Jeong, H Lee - Materials & Design, 2024 - Elsevier
This study presents a method for evaluating plastic properties and equi-biaxial residual
stress (RS) simultaneously using the images of generated imprints in indentation tests and …
stress (RS) simultaneously using the images of generated imprints in indentation tests and …
Machine learning of weld joint penetration from weld pool surface using support vector regression
Skilled human welders can control the weld joint penetration through observing the molten
pool. This suggests that a model may be developed to predict the backside bead width, that …
pool. This suggests that a model may be developed to predict the backside bead width, that …
A framework based on nonlinear FE simulations and artificial neural networks for estimating the thermal profile in arc welding
In this paper, a novel strategy based on nonlinear thermal analysis has been developed
using finite element simulations and artificial neural networks in order to predict the time …
using finite element simulations and artificial neural networks in order to predict the time …
[HTML][HTML] Residual stresses in austenitic thin-walled pipe girth welds: Manufacture and measurements
F Hosseinzadeh, B Tafazzoli-Moghaddam… - International Journal of …, 2023 - Elsevier
Determining residual stresses in thin-walled pipes is challenging. They are potentially
difficult targets for simulation, because they may not behave as simple axisymmetric …
difficult targets for simulation, because they may not behave as simple axisymmetric …
Quality prediction and control of assembly and welding process for ship group product based on digital twin
L Li, D Liu, J Liu, H Zhou, J Zhou - Scanning, 2020 - Wiley Online Library
In view of the problems of lagging and poor predictability for ship assembly and welding
quality control, the digital twin technology is applied to realize the quality prediction and …
quality control, the digital twin technology is applied to realize the quality prediction and …
[HTML][HTML] Residual stress prediction of arc welded austenitic pipes with artificial neural network ensemble using experimental data
The prediction of weld-induced residual stress assists the structural integrity assessment of
welded structures. In this study, residual stress measurements of girth welded austenitic …
welded structures. In this study, residual stress measurements of girth welded austenitic …
Prediction of residual stresses in welded structures based on neural network: a review
Y Qin, C Ma, L Mei - Journal of Materials Science, 2024 - Springer
The wide application of welding manufacturing across key significant industries has aroused
an increasing concern on weldments' reliability. Weld residual stress, as a critical factor, is …
an increasing concern on weldments' reliability. Weld residual stress, as a critical factor, is …