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Artificial intelligence applications for friction stir welding: A review
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 …
have enabled it to be used in many different industrial applications. These are mainly used …
A survey of machine learning in friction stir welding, including unresolved issues and future research directions
Friction stir welding is a method used to weld together materials considered challenging by
fusion welding. FSW is primarily a solid phase method that has been proven efficient due to …
fusion welding. FSW is primarily a solid phase method that has been proven efficient due to …
Artificial neural network based fatigue life assessment of friction stir welding AA2024-T351 aluminum alloy and multi-objective optimization of welding parameters
In this paper, the fracture behavior and fatigue crack growth rate of the 2024-T351 aluminum
alloy has been investigated. At first, the 2024-T351 aluminum alloys have been welded …
alloy has been investigated. At first, the 2024-T351 aluminum alloys have been welded …
Finite element modelling, predictive modelling and optimization of metal inert gas, tungsten inert gas and friction stir welding processes: a comprehensive review
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 …
industries. Over the years, numerous welding techniques have been developed to fulfil the …
Prediction of the ultimate tensile strength (UTS) of asymmetric friction stir welding using ensemble machine learning methods
This research aims to develop ensemble machine-learning methods for forecasting the
ultimate tensile strength (UTS) of friction stir welding (FSW). The substance utilized in the …
ultimate tensile strength (UTS) of friction stir welding (FSW). The substance utilized in the …
[HTML][HTML] Numerical and experimental study of underwater friction stir welding of 1Cr11Ni2W2MoV heat-resistant stainless steel
M Ragab, H Liu, HA Abdel-Aleem… - Journal of Materials …, 2024 - Elsevier
Due to the benefits of solid-state joining, friction stir welding (FSW) has seen an increase in
applications in the aircraft and automotive industries. However, short tool life and heat …
applications in the aircraft and automotive industries. However, short tool life and heat …
Investigation on material flow and microstructural evolution mechanism in non-thinning and penetrating friction stir welded Al–Cu aluminum alloy
D Li, H Liu, S Du, X Li, Y Gao, Y Zuo - Materials Science and Engineering: A, 2023 - Elsevier
Non-thinning and penetrating friction stir welding (NTPFSW) was proposed through an
innovative welding system. The traditional backing plate was replaced by a small-size …
innovative welding system. The traditional backing plate was replaced by a small-size …
Ultrasonic spot welding of aluminum-copper dissimilar metals: a study on joint strength by experimentation and machine learning techniques
Ultrasonic metal welding (USMW) is one of the solid state joining techniques which provides
an alternative approach of joining soft and highly conductive materials like aluminum and …
an alternative approach of joining soft and highly conductive materials like aluminum and …
[HTML][HTML] Finite element prediction of residual stress and deformation induced by double-pass TIG welding of Al 2219 plate
AS Ahmad, Y Wu, H Gong, L Nie - Materials, 2019 - mdpi.com
Finite element (FE) analysis of welding residual stress and deformation is one of the
essential stages in the manufacturing process of mechanical structures and parts. It aids in …
essential stages in the manufacturing process of mechanical structures and parts. It aids in …
[HTML][HTML] Improving prediction of springback in sheet metal forming using multilayer perceptron-based genetic algorithm
This paper presents the results of predictions of springback of cold-rolled anisotropic steel
sheets using an approach based on a multilayer perceptron-based artificial neural network …
sheets using an approach based on a multilayer perceptron-based artificial neural network …