Abstract Machine learning (ML) methods have received immense attention as potential
models for modeling different manufacturing systems. This paper presents a comprehensive …

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 …

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 …

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 …

This study proposes a strategy for developing force-data-driven machine learning models to
precisely predict defects and their types in friction stir welding (FSW). The characteristics of …

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 …

Aluminum alloys have low weldability by conventional fusion welding processes. Friction stir
welding (FSW) is a promising alternative to traditional fusion welding techniques for …

In this paper, parameter optimization of FSW of cryorolled AA2219 alloy was carried out to
obtain defect free weld joint with maximum weld strength. To achieve this, artificial neural …

Friction stir welded joints often contain voids that are detrimental to their mechanical
properties. Here we investigate the conditions for void formation using a decision tree and a …

The solid-state welding method known as friction stir welding (FSW) bonds two metallic work
parts, whether the same or different, by plastically deforming the base metal. The frictional …