In-Situ Contour Detection of Additive Manufactured Workpieces

Heinl M, Karl Schmitt F, Hausotte T (2018)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Publisher: Elsevier

Pages Range: 664-668

Conference Proceedings Title: ScienceDirect - Procedia CIRP 74

Event location: Rosenstraße 50 90762 Fürth DE

DOI: 10.1016/j.procir.2018.08.051

Open Access Link: https://www.sciencedirect.com/science/article/pii/S2212827118308357

Abstract

Due to the growing number of applications for additive manufacturing (AM) there is an increasing need for enhanced quality control methods. One approach is the in-situ analysis of manufactured workpiece contours layer by layer and the associated melting pool dimensions to ensure the conformity with the geometrical product specifications. For this purpose an accurate optical detection of the workpiece contour in combination with an alignment to the ideal layer model is needed. Considering a selective laser sintering (SLS) process, edge-detection algorithms have been compared and applied with improved settings. Image sets with varying illumination conditions of different directions are recorded and evaluated. In addition, the influences of the resulting shadows at the contour edges have been investigated. In this context filter methods are tested to further optimize the captured images for the detection process. Consequently an adapted in-situ measurement system is implemented to achieve the specific requirements of powder bed based additive manufacturing processes.


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APA:

Heinl, M., Karl Schmitt, F., & Hausotte, T. (2018). In-Situ Contour Detection of Additive Manufactured Workpieces. In ScienceDirect - Procedia CIRP 74 (pp. 664-668). Rosenstraße 50 90762 Fürth, DE: Elsevier.

MLA:

Heinl, Martin, Fabian Karl Schmitt, and Tino Hausotte. "In-Situ Contour Detection of Additive Manufactured Workpieces." Proceedings of the 10th CIRP Conference on Photonic Technologies [LANE], Rosenstraße 50 90762 Fürth Elsevier, 2018. 664-668.

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