Title: Managing the uncertainty in data-acquisition by in situ measurements: a review and evaluation of sensing machine element-approaches in the context of digital twins

Authors: Maximilian Hausmann; Yanik Koch; Eckhard Kirchner

Addresses: Institute for Product Development and Machine Elements, Technical University of Darmstadt, Otto-Berndt-Straße 2, 64287 Darmstadt, Germany ' Institute for Product Development and Machine Elements, Technical University of Darmstadt, Otto-Berndt-Straße 2, 64287 Darmstadt, Germany ' Institute for Product Development and Machine Elements, Technical University of Darmstadt, Otto-Berndt-Straße 2, 64287 Darmstadt, Germany

Abstract: The acquisition of data is important for the digitalisation of production and product development as well as for digital twins. In the scope of this contribution, the integration of sensors close to a process for measuring the quantity of interest at its point of origin is presented. Therefore, a classification of measurement locations in in situ and ex situ measurements based on the complexity of the required transfer path of the quantity of interest and the prevailing uncertainty is proposed. A promising way for sensor integration are sensing machine elements (SMEs), which are suitable for capturing data for digital twins due to their simple applicability, measurement at the point of interest as well as reduced structural changes. In a short overview, possible uncertainties for different measurement locations are presented and potentials as well as challenges for the in situ measurement in the context of digital twins are derived.

Keywords: uncertainty; digitalisation; metrology; sensor integration; in situ measurement; digital twin; sensing machine element; SME.

DOI: 10.1504/IJPLM.2021.115700

International Journal of Product Lifecycle Management, 2021 Vol.13 No.1, pp.48 - 65

Received: 01 Aug 2020
Accepted: 27 Jan 2021

Published online: 11 Jun 2021 *

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