Friction stir based welding, processing, extrusion and additive manufacturing

FC Liu, AH Feng, X Pei, Y Hovanski, RS Mishra… - Progress in Materials …, 2024 - Elsevier
Friction stir welding and processing enabled the creation of stronger joints, novel ultrafine-
grained metals, new metal matrix composites, and multifunctional surfaces at user-defined …

Current trends and applications of machine learning in tribology—A review

M Marian, S Tremmel - Lubricants, 2021 - mdpi.com
Machine learning (ML) and artificial intelligence (AI) are rising stars in many scientific
disciplines and industries, and high hopes are being pinned upon them. Likewise, ML and …

Friction stir-based additive manufacturing

RS Mishra, RS Haridas… - Science and Technology …, 2022 - journals.sagepub.com
Additive manufacturing (AM) has completely altered the traditional component
manufacturing and qualification paradigm. It provides unitisation and topological …

Tribo-informatics approaches in tribology research: A review

N Yin, Z Xing, K He, Z Zhang - Friction, 2023 - Springer
Tribology research mainly focuses on the friction, wear, and lubrication between interacting
surfaces. With the continuous increase in the industrialization of human society, tribology …

[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 …

[HTML][HTML] Modeling of friction stir welding process using adaptive neuro-fuzzy inference system integrated with harris hawks optimizer

TA Shehabeldeen, M Abd Elaziz, AH Elsheikh… - Journal of Materials …, 2019 - Elsevier
Abstract Friction Stir Welding (FSW) has been paid more attention in recent years due to its
efficiency in welding materials that are difficult to weld by conventional fusion welding …

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 …

Prediction of tensile strength of friction stir weld joints with adaptive neuro-fuzzy inference system (ANFIS) and neural network

MW Dewan, DJ Huggett, TW Liao, MA Wahab… - Materials & Design, 2016 - Elsevier
Abstract Friction-stir-welding (FSW) is a solid-state joining process where joint properties are
dependent on welding process parameters. In the current study three critical process …

A novel method for predicting tensile strength of friction stir welded AA6061 aluminium alloy joints based on hybrid random vector functional link and henry gas …

TA Shehabeldeen, M Abd Elaziz, AH Elsheikh… - Ieee …, 2020 - ieeexplore.ieee.org
Aluminum alloys have low weldability by conventional fusion welding processes. Friction stir
welding (FSW) is a promising alternative to traditional fusion welding techniques for …

Optimization of friction stir welding process of AA7075 aluminum alloy to achieve desirable mechanical properties using ANFIS models and simulated annealing …

S Babajanzade Roshan, M Behboodi Jooibari… - … International Journal of …, 2013 - Springer
Current work deals with experimental investigation, modeling, and optimization of friction stir
welding process (FSW) to reach desirable mechanical properties of aluminum 7075 plates …