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 survey of machine learning in friction stir welding, including unresolved issues and future research directions

U Chadha, SK Selvaraj, N Gunreddy… - Material Design & …, 2022 - Wiley Online Library
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 …

Artificial neural network based fatigue life assessment of friction stir welding AA2024-T351 aluminum alloy and multi-objective optimization of welding parameters

RM Nejad, N Sina, DG Moghadam, R Branco… - International Journal of …, 2022 - Elsevier
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 …

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 …

Prediction of the ultimate tensile strength (UTS) of asymmetric friction stir welding using ensemble machine learning methods

S Matitopanum, R Pitakaso, K Sethanan, T Srichok… - Processes, 2023 - mdpi.com
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 …

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 …

Ultrasonic spot welding of aluminum-copper dissimilar metals: a study on joint strength by experimentation and machine learning techniques

MP Satpathy, SB Mishra, SK Sahoo - Journal of Manufacturing Processes, 2018 - Elsevier
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 …

Dynamic recrystallization, Laves phase evolution and mechanical performance of nuclear-grade Nb containing FeCrAl alloy joints fabricated by friction stir welding

Y Hu, W Yang, B Wang, X Ma, Y Zhao - Materials Science and Engineering …, 2022 - Elsevier
Nb containing FeCrAl alloys are a new class of promising candidates for accident-tolerant-
fuel (ATF) materials used in nuclear power plants. The macrostructure, dynamic …

[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 …

[HTML][HTML] Nano-alumina reinforcement on AA 8079 acquired from waste aluminium food containers for altering microhardness and wear resistance

T Sathish, N Sabarirajan, R Saravanan - Journal of Materials Research and …, 2021 - Elsevier
The recycling of waste is act of charity as it takes part of maintain environmental clean as
well as offer balance in supply to meet the same or alternate use. Thin Aluminium sheets …