Journal of Sensors and Sensor Systems
Journal of Sensors and Sensor Systems
JSSS
Articles | Volume 10, issue 1
Articles | Volume 10, issue 1
https://doi.org/10.5194/jsss-10-101-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/jsss-10-101-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 1
Regular research article
 | 
22 Apr 2021
Regular research article |  | 22 Apr 2021

Measurement uncertainty assessment for virtual assembly

Manuel Kaufmann, Ira Effenberger, and Marco F. Huber

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Latest update: 13 Dec 2024
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Short summary
Virtual assembly (VA) is a method for the quality prediction of assemblies considering local form deviations of relevant geometries. Point clouds of measured objects are registered in order to recreate the objects’ hypothetical physical assembly state, which is strongly influenced by the measurement uncertainty of individual points. Thus, we studied the propagation of uncertainties by VA. The results reveal larger propagated uncertainties by VA compared to the unconstrained Gaussian best fit.
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Special issue
Sensors and Measurement Science International SMSI 2020