Journal
2022 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE)
Volume -, Issue -, Pages 2369-2374Publisher
IEEE
DOI: 10.1109/CASE49997.2022.9926447
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This paper introduces a method for estimating the penetration depth of weld bead using emitted acoustic signal, which can be used for quality monitoring in industrial robotic Gas Metal Arc Welding systems. The method allows for online measurement of penetration depth and shows promising potential as a reliable solution.
Process monitoring and quality control for industrial robotic Gas Metal Arc Welding (GMAW) systems are key components in ensuring the reliability of the produced products. While being a widely used process, there is still a lack of a robust, plug and play monitoring solution. In particular, weld bead penetration depth is a crucial factor in many fabrication applications, where substantial bonding strength is crucial. This paper introduces a new penetration depth estimation method using the emitted acoustic signal to monitor the droplet transfer process. By monitoring the droplet transfer, an estimation of the welding energy transferred to the base material can be obtained while accounting for variations in the welding process. Using this method, the penetration depth is able to be measured within an error of +-15%, proving to be a promising solution for online monitoring in robotic welding applications.
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