Ojeda, Juan Eduardo ; Knaack, Ulrich ; Rosendahl, Philipp Laurens
Hrsg.: Rosendahl, Philipp Laurens ; Figueiredo, Bruno ; Turin, Michela ; Knaack, Ulrich ; Cruz, Paulo J.S. (2024)
Geometry Acquisition with Computer Vision Applied to Waam.
In: Research in additive manufacturing for architecture and construction
doi: 10.47982/a82n7r50
Buchkapitel, Bibliographie

Kurzbeschreibung (Abstract)

3D printing with metal, applied to thin non-flat surfaces, requires a digital reconstruction of the 3D surface that will be used as a build plate for the wire arc welding manufacturing process. This article describes an experimental workflow of three-dimensional scanning of thin metal plates using a low-cost hardware setup with depth cameras and computer vision. The process allows users to scan, rebuild a 3D model, generate the code for the welding robot, and update the data continuously through the entire welding process. This update is required to analyse and rectify any change of the surface and the height of the welded layers. The result of this article presents the scanning work-flow, the CAD 3D model, the method used to check the accuracy of the digital reconstruction, and the application of the collected data transferred as coordinates to carry out the WAAM process over a 1 mm steel plate. The long-term goal of this research is to generate a closed-loop of printing and real-time feedback to change the original printing workflow that is based on an open-loop, typical from off-the-shelf 3D printers.

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