Open source arc analyzer: Multi-sensor monitoring of wire arc additive manufacturing

• Published in: HardwareX Vol. 8; p. e00137
• Main Authors: Pringle, Adam M., Oberloier, Shane, Petsiuk, Aliaksei L., Sanders, Paul G., Pearce, Joshua M.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01-10-2020; Elsevier
• Subjects: 3-D printing, gas metal arc weld, GMAW, metal inert gas welding, MIG welding, additive manufacturing, metal printing; Metal 3-D printing, low cost metal 3-D printer, open-source metal 3-D printer, GMAW 3-D printing; Open-source hardware; RepRap; WAAM; Welder; Welding; Wire Arc Additive Manufacturing; RepRap; Welder; Welding; Metal 3-D printing, low cost metal 3-D printer, open-source metal 3-D printer, GMAW 3-D printing; Wire Arc Additive Manufacturing; 3-D printing, gas metal arc weld, GMAW, metal inert gas welding, MIG welding, additive manufacturing, metal printing; Open-source hardware; WAAM
• ISSN: 2468-0672; 2468-0672
• DOI: 10.1016/j.ohx.2020.e00137

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Low-cost high-resolution metal 3-D printing remains elusive for the scientific community. Low-cost gas metal arc wire (GMAW)-based 3-D printing enables wire arc additive manufacturing (WAAM) for near net shape applications, but has limited resolution due to the complexities of the arcing process. To begin to monitor and thus control these complexities, the initial designs of the open source GMAW 3-D printer have evolved to include current and voltage monitoring. Building on this prior work, in this study, the design, fabrication and use of the open source arc analyzer is described. The arc analyzer is a multi-sensor monitoring system for quantifying the processing during WAAM, which includes voltage, current, sound, light intensity, radio frequency, and temperature data outputs. The open source arc analyzer is tested here on aluminum WAAM by varying wire feed rate and measuring the resultant changes in the sensor data. Visual inspection and microstructural analysis of the printed samples looking for the presence of porosity are used as the physical indicators of quality. The value of the sensors was assessed and the most impactful sensors were found to be the light and radio frequency sensors, which showed arc extinction events and a characteristic “good weld” peak frequency.