Zugriffsnummer 47401
Dokumenttyp Konferenzartikel in Zeitschrift Open Access Gold
Peer Review mit Peer Review
Sprache Englisch
Titel Simulated measurement-uncertainty determination for mass-standard calibration via transfer artefacts
Autor(in); Institution
Lehrmann, Katharina; 1.1, Masse, PTB-Braunschweig
Härtig, Frank; Präsidium, VP, PTB-Braunschweig
Tutsch, Rainer; Technical University Braunschweig, Institute of Production Metrology, Braunschweig, GERMANY
Quelle/Jahr SI: the proceedings of IMEKO 2021. Measurement: Sensors: 18 (2021)
Availability [online only]
ISSN 2665-9174
DOI
Verlag Amsterdam: Elsevier
Konferenzangaben XXIII IMEKO World Congress "Measurement: sparking tomorrow’s smart revolution", Virtual Conference, 30, August 30 - 03, September, 2021
Freie Schlagworte Transfer standards ; Sorption ; artefacts ; Monte Carlo simulation ; Measurement uncertainty ; Mass metrology
Zusammenfassung Monte Carlo methods are appropriate for determining manufacturing accuracy or measurement uncertainty for the calibration of mass standards such as sorption, duplex and buoyancy artefacts, which are referred to as transfer artefacts. Systematic influences and their application-specific measurement uncertainties can be calculated for three important parameters: mass, surface area and volume. The input variables of the simulations yield from the specified manufacturing tolerances as well as from the measurement uncertainties associated with the input variables related to the coordinate measuring machines employed. The model developed here allows the transfer artefacts shown to be calculated with a uniform approach in accordance with the specifications of GUM. Results for silicon transfer artefacts with a nominal mass of 1 kg are presented and discussed.
Kostenfreier Zugang Open Access Gold
Themenbereich der Metrologie Masse und abgeleitete Größen

Zitierung

Lehrmann, K., Härtig, F., & Tutsch, R. (2021). Simulated measurement-uncertainty determination for mass-standard calibration via transfer artefacts. Measurement: Sensors, 18. https://doi.org/10.1016/j.measen.2021.100090

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