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- Title:
Nozzle-to-Work Distance Measurement and Control in Wire Arc Additive Manufacturing
- Document type:
- Konferenzbeitrag
- Author(s):
- Reisch, Raven Thomas; Hauser, Tobias; Franke, Jan; Heinrich, Florian; Theodorou, Konstantinos; Kamps, Tobias; Knoll, Alois
- Abstract:
- In multi-axes Wire Arc Additive Manufacturing, keeping the correct nozzle-to-work distance is crucial to avoid collisions and process defects. Measuring this distance is challenging as the welding arc complicates the usage of conventional distance measurements without positional offset in-process. For that reason, this study investigated and evaluated the usage of several sensors (wire feed sensor, current and voltage sensor, microphone, welding camera, spectrometer, structural acoustic sensor) for a direction independent in-process measurement. Features were extracted based on domain knowledge and selected by means of a correlation analysis. The spectrometer (Pearson’s r = −0.90) showed the most robust measurements for stable process parameters when computing the relative intensity at a wavelength of 960 nm, followed by the welding camera (Pearson’s r = 0.84) when analyzing the images with a convolutional neural network. Based on the findings, a closed-loop-control was created. As a system identification revealed a high impact of the welding speed on the track height in comparison to the wire feed rate (Pearson’s r − 0.90 < > − 0.16), the closed-loop-control was realized by means of a simple P-control for the welding speed. The proposed approach enabled the manufacturing of multi-layer multi-bead parts with multi-axes deposition paths.
- Book / Congress title:
- 2021 2nd European Symposium on Software Engineering
- Publisher:
- ACM
- Date of publication:
- 19.11.2021
- Year:
- 2021
- Year / month:
- 2021-11
- Reviewed:
- ja
- Language:
- en
- Fulltext / DOI:
- doi:10.1145/3501774.3501798
- WWW:
- ACM link
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