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doi: 10.5281/zenodo.54574
This research data set includes accelerometer sensory data collected during a print job on Ultimaker 2 3D printer. We used ViFDAQ which is a mobile and wireless data-acquisition system developed at the VIRTUAL VEHICLE to capture the data. Sensors were installed on printer head (x,y,z achses) and on printing plate (x,y,z achses). During the print job, we conducted a series of events (e.g. vibrations on the printer plate, table ... ), to influence the quality of the printed object. We then applied a series of machine learning algorithms in order to detect the disturbances. A research paper is in production. ViFDAQ Info: http://www.v2c2.at/produkte/vifdaq/
ultimaker, accelerometer, machine learning
ultimaker, accelerometer, machine learning
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