| Abstract Scope |
The results of wire-arc additive manufacturing (WAAM) processes have proven to be sensitive to several factors such as shielding gas, welding parameters, thermal boundary conditions and process instabilities. As the capabilities of WAAM processes are continually explored, there is a growing need for greater process monitoring capabilities to provide insights into features such as arc stability, interpass temperature and melt pool dynamics. To enable the capability to analyze several features at once, there is a need to implement data collection from various sensor modalities. For this task, a data acquisition program has been developed using Python due to it being easy to program, open-source, and able to spatially and temporally synchronize data from various sensors. Progress will be demonstrated on exemplar depositions and part builds to collect robot trajectory, infrared thermography, thermocouple temperatures, welding arc voltage and current, and acoustic signatures. |