Proof of concept and new developments on a Kibble extension
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Markus Pabst
, Falko Hilbrunner
Abstract
This article describes the proof of concept of a Kibble extension for vacuum mass comparators and its further development. A Kibble extension is a technical extension for vacuum mass comparators to connect to the new definition of the International System of Units (SI) of 2019. A commercially available high-vacuum prototype mass comparator from Sartorius serves as the basis. It is used to compare kilogram prototypes, such as the international prototype kilogram
Zusammenfassung
Dieser Artikel beschreibt den Konzeptnachweis einer Kibble-Erweiterung für Vakuum-Massekomparatoren und ihre weitere Entwicklung. Eine Kibble-Erweiterung ist eine technische Erweiterung für Vakuum-Massekomparatoren zum Anschluss an die neue Definition des Internationalen Einheitensystems (SI) aus dem Jahr 2019. Als Grundlage dient ein kommerziell erhältlicher Hochvakuum-Prototyp-Massekomparator von Sartorius. Damit lassen sich Kilogrammprototypen, wie der internationale Prototyp des Kilogramms
About the authors

Dr.-Ing. Markus Pabst is a postdoc in the Process Measurement Technology Group at the Department of Mechanical Engineering at Technische Universität Ilmenau.

Dr.-Ing. Falko Hilbrunner works in research and development in the field of mass comparators at Sartorius Lab Instruments GmbH & Co. KG.

Univ.-Prof. Dr.-Ing. habil. Thomas Fröhlich is the head of the Process Measurement Technology Group at the Department of Mechanical Engineering at Technische Universität Ilmenau.
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Research ethics: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
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Articles in the same Issue
- Frontmatter
- Editorial
- Measurement uncertainty, data quality and data-driven modelling
- Research Articles
- Metrology for sensor networks: metrological traceability and measurement uncertainties for air quality monitoring
- Proof of concept and new developments on a Kibble extension
- Leveraging measurement data quality by adoption of the FAIR guiding principles
- Combination of generic novelty detection and supervised classification pipelines for industrial condition monitoring
- Test of conformance or non-conformance with geometrical specifications
- Data-driven modeling in metrology – A short introduction, current developments and future perspectives
Articles in the same Issue
- Frontmatter
- Editorial
- Measurement uncertainty, data quality and data-driven modelling
- Research Articles
- Metrology for sensor networks: metrological traceability and measurement uncertainties for air quality monitoring
- Proof of concept and new developments on a Kibble extension
- Leveraging measurement data quality by adoption of the FAIR guiding principles
- Combination of generic novelty detection and supervised classification pipelines for industrial condition monitoring
- Test of conformance or non-conformance with geometrical specifications
- Data-driven modeling in metrology – A short introduction, current developments and future perspectives