EventsThe 3rd International Online Conference on Metals
Published
This submission belongs to the session S5. Additive Manufacturing of the event The 3rd International Online Conference on Metals
Published date
08 Oct, 2026
Academic Editor
author-avatarAbdollah Saboori
Citation
Jaivindra Singh, Bruno Lobo, Thibault Guet, João Pedro Oliveira, Real-Time Arc Welding Process Stability Monitoring, in Proceedings of The 3rd International Online Conference on Metals, 12 October–14 October 2026, MDPI: Basel, Switzerland
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Real-Time Arc Welding Process Stability Monitoring

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Thibault Guet 3
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1. CENIMAT/I3N, Department of Materials Science, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Caparica 2829-516, Portugal
2. Department of Materials Science, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516, Caparica, Portugal
3. Département Mécanique et Systèmes, Polytech Tours, 7 avenue Marcel Dassault 37200 Tours, FRANCE
Abstract

The stability of the arc welding process plays a fundamental role in determining weld quality, consistency, and overall performance. This study investigates the suitability and capability of a digital oscilloscope as an effective tool for evaluating arc welding process stability through both real-time monitoring and post-processing analysis. During arc welding, voltage and current signals are continuously acquired, enabling immediate observation of arc behavior and detailed offline examination.

Real-time monitoring provides rapid insight into process conditions, allowing for the detection of abrupt disturbances, arc instabilities, and transient fluctuations as they occur. However, the true potential of the approach lies in the post-processing of the recorded electrical waveforms. Through offline analysis, a more comprehensive evaluation of arc dynamics can be achieved, including the identification of subtle variations, irregular metal transfer modes, and patterns associated with spatter formation and arc interruptions.

Digital oscilloscopes offer high sampling rates, precise signal acquisition, and advanced data visualization capabilities, making them particularly suitable for capturing the complex and dynamic nature of welding processes. The combination of real-time observation and post-processing analysis enables both immediate diagnostics and in-depth characterization of process stability.

The findings demonstrate that digital oscilloscopes provide a reliable and powerful framework for the integrated assessment of arc welding stability, supporting improved parameter optimization, enhanced process control, and ultimately higher weld quality and operational reliability.

Keywords
Welding Process Stability
Digital Oscilloscope
Arc Stability
Real-Time Monitoring
Signal Analysis
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