Title: Uncertainty of data and the digital twin: a review

Authors: José Ríos; Georg Staudter; Moritz Weber; Reiner Anderl; Alain Bernard

Addresses: Department of Computer Integrated Design (DiK), Technische Universität Darmstadt, Darmstadt, Germany; Department of Mechanical Engineering, Universidad Politécnica de Madrid, Madrid, Spain ' Department of Computer Integrated Design (DiK), Technische Universität Darmstadt, Darmstadt, Germany ' Department of Computer Integrated Design (DiK), Technische Universität Darmstadt, Darmstadt, Germany ' Department of Computer Integrated Design (DiK), Technische Universität Darmstadt, Darmstadt, Germany ' Laboratory for Digital Sciences of Nantes (LS2N), Ecole Centrale de Nantes, Nantes, France

Abstract: The digital twin (DT) incorporates measured data from the physical domain to create as-built or as-manufactured and as-operated product models. To comprehend some implications of creating a DT, this work provides a holistic review of the uncertainty of measured data and of the data flow context where they must be integrated. This work is based on the review of a selected group of publications and standards. The emphasis is on the as-built or as-manufactured 3D models and the showed uncertainty values refer to dimensional measurement data. The uncertainty ranges for different geometric data capture techniques are compare against the international dimensional tolerance grades. The alternative of predicting as-manufactured models is also discussed. Considering that parts must be manufactured within tolerances, the need to create as-manufactured 3D models, only for simulation purposes, is questioned. The uncertainty representation was also reviewed in three main groups of standards, and their location within the main data flow of the DT is illustrated.

Keywords: uncertainty; digital twin; reconstructed 3D model; as-manufactured; data transfer standards.

DOI: 10.1504/IJPLM.2020.112778

International Journal of Product Lifecycle Management, 2020 Vol.12 No.4, pp.329 - 358

Received: 18 Dec 2019
Accepted: 17 Sep 2020
Published online: 02 Feb 2021 *

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