AUTOMATIC GEOMETRIC INSPECTION IN DIGITAL FABRICATION

Additive Manufacturing in construction allows to create complex objects of different materials. Accordingly, an appropriate co-registration and comparison between the printed object and its digital model is needed for several purposes: quality control (QC) to ensure that tolerances are maintained an...

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Main Authors: K. Mawas, M. Maboudi, M. Gerke
Format: Article
Language:English
Published: Copernicus Publications 2022-05-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2022/459/2022/isprs-archives-XLIII-B1-2022-459-2022.pdf
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author K. Mawas
M. Maboudi
M. Gerke
author_facet K. Mawas
M. Maboudi
M. Gerke
author_sort K. Mawas
collection DOAJ
description Additive Manufacturing in construction allows to create complex objects of different materials. Accordingly, an appropriate co-registration and comparison between the printed object and its digital model is needed for several purposes: quality control (QC) to ensure that tolerances are maintained and the realisation of a digital twin which holds the actual geometry. In this paper, we introduce an automated robotic data capturing and direct co-registration method. That is, a terrestrial laser scanner (TLS) is mounted on a robot to be moved freely in the printing room. In addition, various strategies are employed for quality control. The scanner is also mounted on the tripods, to validate the accuracy of our data capturing and co-registration solution. Furthermore, the experiment on real data is conducted for two different objects: a shotcrete printed object and a wax material object. Our experiments revealed that there is almost no influence on the scanner position accuracy compared to classical setup (mounting the TLS on tripod). The scanner position accuracy when mounted on tripods is 0.76 mm and the accuracy achieved by mounting the scanner on the robot is 1.03 mm. From the simulation it is noticed that C2M cannot detect missing extruded parts. To cope this problem, we used C2C and M3C2 algorithms. For real data scenario, without edge trimming and surface finishing it is challenging to interpret the data directly. However, M3C2 provided better results but it requires parameters tuning. In case of the surface finished object C2M and M3C2 algorithms have almost similar results.
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spelling doaj.art-5f9c903bdb934401a40be6ad31f53c622022-12-22T00:19:31ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342022-05-01XLIII-B1-202245946610.5194/isprs-archives-XLIII-B1-2022-459-2022AUTOMATIC GEOMETRIC INSPECTION IN DIGITAL FABRICATIONK. Mawas0M. Maboudi1M. Gerke2Institute of Geodesy and Photogrammetry, Technische Universität Braunschweig, GermanyInstitute of Geodesy and Photogrammetry, Technische Universität Braunschweig, GermanyInstitute of Geodesy and Photogrammetry, Technische Universität Braunschweig, GermanyAdditive Manufacturing in construction allows to create complex objects of different materials. Accordingly, an appropriate co-registration and comparison between the printed object and its digital model is needed for several purposes: quality control (QC) to ensure that tolerances are maintained and the realisation of a digital twin which holds the actual geometry. In this paper, we introduce an automated robotic data capturing and direct co-registration method. That is, a terrestrial laser scanner (TLS) is mounted on a robot to be moved freely in the printing room. In addition, various strategies are employed for quality control. The scanner is also mounted on the tripods, to validate the accuracy of our data capturing and co-registration solution. Furthermore, the experiment on real data is conducted for two different objects: a shotcrete printed object and a wax material object. Our experiments revealed that there is almost no influence on the scanner position accuracy compared to classical setup (mounting the TLS on tripod). The scanner position accuracy when mounted on tripods is 0.76 mm and the accuracy achieved by mounting the scanner on the robot is 1.03 mm. From the simulation it is noticed that C2M cannot detect missing extruded parts. To cope this problem, we used C2C and M3C2 algorithms. For real data scenario, without edge trimming and surface finishing it is challenging to interpret the data directly. However, M3C2 provided better results but it requires parameters tuning. In case of the surface finished object C2M and M3C2 algorithms have almost similar results.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2022/459/2022/isprs-archives-XLIII-B1-2022-459-2022.pdf
spellingShingle K. Mawas
M. Maboudi
M. Gerke
AUTOMATIC GEOMETRIC INSPECTION IN DIGITAL FABRICATION
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title AUTOMATIC GEOMETRIC INSPECTION IN DIGITAL FABRICATION
title_full AUTOMATIC GEOMETRIC INSPECTION IN DIGITAL FABRICATION
title_fullStr AUTOMATIC GEOMETRIC INSPECTION IN DIGITAL FABRICATION
title_full_unstemmed AUTOMATIC GEOMETRIC INSPECTION IN DIGITAL FABRICATION
title_short AUTOMATIC GEOMETRIC INSPECTION IN DIGITAL FABRICATION
title_sort automatic geometric inspection in digital fabrication
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B1-2022/459/2022/isprs-archives-XLIII-B1-2022-459-2022.pdf
work_keys_str_mv AT kmawas automaticgeometricinspectionindigitalfabrication
AT mmaboudi automaticgeometricinspectionindigitalfabrication
AT mgerke automaticgeometricinspectionindigitalfabrication