Machine learning accelerates the materials discovery

J Fang, M **e, X He, J Zhang, J Hu, Y Chen… - Materials Today …, 2022 - Elsevier
As the big data generated by the development of modern experiments and computing
technology becomes more and more accessible, the material design method based on …

Artificial intelligence applications for friction stir welding: A review

B Eren, MA Guvenc, S Mistikoglu - Metals and Materials International, 2021 - Springer
Advances in artificial intelligence (AI) techniques that can be used for different purposes
have enabled it to be used in many different industrial applications. These are mainly used …

A multi-objective optimization of the friction stir welding process using RSM-based-desirability function approach for joining aluminum alloy 6063-T6 pipes

SM Senthil, R Parameshwaran, S Ragu Nathan… - Structural and …, 2020 - Springer
In this study, a multi-objective optimization technique involving response surface
methodology (RSM)-based desirability function approach is used in optimizing the process …

[HTML][HTML] Utilization of Random Vector Functional Link integrated with Marine Predators Algorithm for tensile behavior prediction of dissimilar friction stir welded …

M Abd Elaziz, TA Shehabeldeen, AH Elsheikh… - Journal of Materials …, 2020 - Elsevier
Friction stir welding (FSW) method becomes an effective technique for welding dissimilar
alloys such as AA2024 and AA5083 as the conventional fusion welding methods are not …

Bobbin tool friction stir welding: a review

K Fuse, V Badheka - Science and Technology of Welding …, 2019 - journals.sagepub.com
Friction stir welding is a solid-state welding technique for joining similar and dissimilar
material. Bobbin tool friction stir welding (BTFSW) is a variant of the conventional friction stir …

[HTML][HTML] Prediction of uniaxial tensile flow using finite element-based indentation and optimized artificial neural networks

K Jeong, H Lee, OM Kwon, J Jung, D Kwon, HN Han - Materials & Design, 2020 - Elsevier
This study derives a uniaxial tensile flow from spherical indentation data using an artificial
neural network (ANN) combined with finite element (FE) analysis. The feasibility of the FE …

A critical review of corrosion development and rust removal techniques on the structural/environmental performance of corroded steel bridges

S Guo, R Si, Q Dai, Z You, Y Ma, J Wang - Journal of cleaner production, 2019 - Elsevier
Corrosion is one of the most severe threats to the stability of steel bridges and regular rust
removal techniques is needed for the maintenance of steel bridges. Currently the correlation …

A novel vertical-torrent friction stir lap welding method using tool with conical swirly pins

Q Song, Z Chen, S Ji, Z Zhang, H Zhao, L Ma - Journal of Manufacturing …, 2024 - Elsevier
It is an effective method to fabricate high-strength friction stir lap welding (FSLW) joints by
avoiding the upward-bending lap interface outside the stir zone (SZ) and the continuously …

Improving the mechanical property of dissimilar Al/Mg hybrid friction stir welding joint by PIO-ANN

W Hu, Z Ma, S Ji, S Qi, M Chen, W Jiang - Journal of Materials Science & …, 2020 - Elsevier
Ultrasonic-stationary shoulder assisted friction stir welding (U-SSFSW) is a novel hybrid
welding technique, which reveals promising prospect in joining Al/Mg dissimilar alloys. A …

Finite element modelling, predictive modelling and optimization of metal inert gas, tungsten inert gas and friction stir welding processes: a comprehensive review

K Kalita, D Burande, RK Ghadai… - Archives of Computational …, 2023 - Springer
Welding is an essential fabrication process in any of the construction or manufacturing
industries. Over the years, numerous welding techniques have been developed to fulfil the …