Arc length monitoring and closed-loop quality control for GTA-WAAM

This study aims to enhance the monitoring and control of arc length in Wire Arc Additive Manufacturing with Gas Tungsten Arc (GTA-WAAM). Accurate measurement and closed-loop control of arc length in WAAM is challenging, especially under conditions of low image quality or high-intensity lighting. To address these challenges, we propose the arc length monitoring methodology by combining automatic image segmentation, robust target tracking, and accurate abnormal image identification. A feedback control method is also developed based on adaptive fuzzy logic for manufacturing quality control. Based on arc length measurement, the process parameter is attuned to stabilize the arc length, in order to control manufacturing quality. Our quality control experiments on rod manufacturing demonstrated the effectiveness of the proposed arc length measurement and feedback control methods. The monitoring and feedback control methods developed in this study can help facilitate the development of the next generation metal additive manufacturing technology with high precision and control.

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Publication Details

Journal
Virtual and Physical Prototyping
Published
2025-06-22
DOI
https://doi.org/10.1080/17452759.2025.2513004
Citations
2
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
1.35
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article

Arc length monitoring and closed-loop quality control for GTA-WAAM

Longxi Luo, Changmeng Liu, Jiashun Si, Jiping Lu
2 citations
Virtual and Physical Prototyping
Advanced X-ray and CT Imaging
1.35
article

Arc length monitoring and closed-loop quality control for GTA-WAAM

Longxi Luo, Changmeng Liu, Jiashun Si, Jiping Lu
article en
2 citations

Abstract

This study aims to enhance the monitoring and control of arc length in Wire Arc Additive Manufacturing with Gas Tungsten Arc (GTA-WAAM). Accurate measurement and closed-loop control of arc length in WAAM is challenging, especially under conditions of low image quality or high-intensity lighting. To address these challenges, we propose the arc length monitoring methodology by combining automatic image segmentation, robust target tracking, and accurate abnormal image identification. A feedback control method is also developed based on adaptive fuzzy logic for manufacturing quality control. Based on arc length measurement, the process parameter is attuned to stabilize the arc length, in order to control manufacturing quality. Our quality control experiments on rod manufacturing demonstrated the effectiveness of the proposed arc length measurement and feedback control methods. The monitoring and feedback control methods developed in this study can help facilitate the development of the next generation metal additive manufacturing technology with high precision and control.

Virtual and Physical PrototypingVol. 20(1)
Beijing Institute of Technology (CN)
Openalex Percentile: Top 19%
Advanced X-ray and CT Imaging
1.35
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Arc length monitoring and closed-loop quality control for GTA-WAAM — Longxi Luo, Changmeng Liu, et al. · Virtual and Physical Prototyping (2025) | TGRS Research Map | TGRS