Abstract: Due to its great productivity, Gas metal arc welding (GMAW) has been become the most frequently used automated welding process. Unfortunately, the metal transfer changes from solid to liquid ...

AI-driven process monitoring enhances the qualification of additively manufactured stainless-steel parts. By analysing high-frequency welding current and voltage signals in both the time and frequency ...

Abstract: In this study, different process deviations of gas metal arc welding were classified using transient optical and electrical process data by means of artificial neural networks. The examined ...

This study analyzed the average temperature value of the metallic droplets and weldpool of the Pulsed GMAW welding process using 309L-Si electrode as the addition metal. The study was based on the ...

In pursuit of smarter and more efficient welding methods, assessing the quality of welded components remains critical but is often constrained by traditional destructive testing methods for evaluating ...

This repository contains the implementation for our research on out-of-distribution (OOD) detection in gas metal arc welding (GMAW) quality prediction. Our work addresses critical challenges in ...

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Manufacturing costs have increased significantly in the last few years due to a number of external factors. The current challenge for manufacturers is to manage costs in the welding process without ...