Multi-sensor metrology for microparts in innovative industrial products

Third Party Funds Group - Sub project

Overall project details

Overall project: Multi-sensor metrology for microparts in innovative industrial products

Project Details

Project leader:
Prof. Dr.-Ing. Tino Hausotte

Project members:
Matthias Fleßner
Eric Helmecke

Contributing FAU Organisations:
Lehrstuhl für Fertigungsmesstechnik

Funding source: Sonstige EU-Programme (z. B. RFCS, DG Health, IMI, Artemis)
Funding source: andere Förderorganisation (European Association of National Metrology Institutes (EURAMET e.V.))
Acronym: Microparts
Start date: 01/09/2013
End date: 31/05/2016

Abstract (technical / expert description):

The overall goal of the Joint Research Project is a significant improvement of state-of-the-art measurement capabilities of multi-sensor coordinate measuring machines (CMMs) for microparts used, e.g. in automotive, medical and optical applications. The project will address the specific problems related to dimensional measurements of small complex features at high accuracy and all forms of sensors used for the measurement of microparts will be included. These specific problems have a strong influence on measurement uncertainties. The project will also address the issue of traceability, comparability, handling and fusion of measurement data from multiple sensors, which are important issues for the industrial application of multi-sensor coordinate metrology.

External Partners

Physikalisch-Technische Bundesanstalt (PTB)
Bundesanstalt für Materialforschung und -prüfung (BAM)
Danish Technological Institute (DTI) / Teknologisk Institut
Laboratoire National de Métrologie et d'Essais (LNE)
Eidgenössisches Institut für Metrologie (METAS)
The National Physical Laboratory (NPL)
Dutch Metrology Institute (VSL)
Robert Bosch GmbH
IBS Precision Engineering BV (IBSPE)
LEGO Group
Novo Nordisk A/S
Science and Technology Facilities Council
XPRESS Precision Engineering B.V.
Loughborough University
University of Nottingham


Wohlgemuth, F., Müller, A., & Hausotte, T. (2018). Development of a virtual metrological CT for numerical measurement uncertainty determination using aRTist 2. Tm-Technisches Messen, 85(12), 728-737.

Last updated on 2019-04-06 at 16:01