Articles | Volume 10, issue 2
https://doi.org/10.5194/jsss-10-219-2021
https://doi.org/10.5194/jsss-10-219-2021
Review paper
 | 
13 Aug 2021
Review paper |  | 13 Aug 2021

Methods and procedure of referenced in situ control of lateral contour displacements in additive manufacturing

Martin Lerchen, Jakob Hornung, Yu Zou, and Tino Hausotte

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Cited articles

Aminzadeh, M.: A machine vision system for in-situ quality inspection in metal powder-bed additive manufacturing, Ph.D. thesis, Georgia Institute of Technology, Georgia, USA, 2016. a
Anagnostopoulos, G. C.: SVM-based target recognition from synthetic aperture radar images using target region outline descriptors, Nonlinear Anal.-Theor., 71–12, e2934–e2939, https://doi.org/10.1016/j.na.2009.07.030, 2009. a
Andresen, K.: Ermittlung von Raumelementen aus Kanten im Bild, Zeitschrift für Photogrammetrie und Fernerkundung, 59, 212–220, 1991. a
Burt, P.: The pyramid as a structure for efficient computation, in: Multiresolution image processing and analysis, Springer Berlin-Heidelberg, 6–35, https://doi.org/10.1007/978-3-642-51590-3, 1984. a
Caltanissetta, F., Grasso, M., Petrò, S., and Colosimo, B. M.: Characterization of in-situ measurements based on layerwise imaging in laser powder bed fusion, Additive Manufacturing, 24, 183–199, https://doi.org/10.1016/j.addma.2018.09.017, 2018. a
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Short summary
The publication contributes to a uniform procedure for in-process measurement data acquisition in additive manufacturing, which is essential for a controlled correction of detected manufacturing deviations. The developed methodology is based on an analysis of the melt pool contours relative to a referencing system integrated in the powder bed. By recording the referenced melt pool and the shimmering contours after powder application, manufacturing deviations can be evaluated more accurately.