Applications of machine learning in friction stir welding: Prediction of joint properties, real-time control and tool failure diagnosis
AH Elsheikh - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Abstract Machine learning (ML) methods have received immense attention as potential
models for modeling different manufacturing systems. This paper presents a comprehensive …
models for modeling different manufacturing systems. This paper presents a comprehensive …
Error metrics and performance fitness indicators for artificial intelligence and machine learning in engineering and sciences
Artificial intelligence (AI) and Machine learning (ML) train machines to achieve a high level
of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily …
of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily …
Friction stir based welding, processing, extrusion and additive manufacturing
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 …
grained metals, new metal matrix composites, and multifunctional surfaces at user-defined …
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 …
manufacturing and qualification paradigm. It provides unitisation and topological …
Recent advances in friction-stir welding–process, weldment structure and properties
Friction-stir welding is a refreshing approach to the joining of metals. Although originally
intended for aluminium alloys, the reach of FSW has now extended to a variety of materials …
intended for aluminium alloys, the reach of FSW has now extended to a variety of materials …
[HTML][HTML] A new fine-tuned random vector functional link model using Hunger games search optimizer for modeling friction stir welding process of polymeric materials
Modeling of manufacturing processes using artificial intelligence-based techniques has
recently received considerable attention. The current investigation introduces a new artificial …
recently received considerable attention. The current investigation introduces a new artificial …
[HTML][HTML] Joining of automotive sheet materials by friction-based welding methods: A review
M Haghshenas, AP Gerlich - Engineering science and technology, an …, 2018 - Elsevier
The demands for higher fuel efficiency in the automotive sector have motivated the
increased use of multi-material combinations for lightweight designs in recent years. This …
increased use of multi-material combinations for lightweight designs in recent years. This …
Optimization of different welding processes using statistical and numerical approaches–A reference guide
KY Benyounis, AG Olabi - Advances in engineering software, 2008 - Elsevier
Welding input parameters play a very significant role in determining the quality of a weld
joint. The joint quality can be defined in terms of properties such as weld-bead geometry …
joint. The joint quality can be defined in terms of properties such as weld-bead geometry …
[HTML][HTML] Utilization of Random Vector Functional Link integrated with Marine Predators Algorithm for tensile behavior prediction of dissimilar friction stir welded …
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 …
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
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 …
efficiency in welding materials that are difficult to weld by conventional fusion welding …