Uncertainty of data and the digital twin: a review. (22nd January 2021)

• Record Type: Journal Article
• Authors: Ríos, José; Staudter, Georg; Weber, Moritz; Anderl, Reiner; Bernard, Alain
• Is Part Of: International journal of product lifecycle management. Volume 12:Number 4(2019)
• Page Start: 329
• Page End: 358
• Publication Date: 2021-01-22
• Subjects: uncertainty -- digital twin -- reconstructed 3D model -- as-manufactured -- data transfer standards; Product life cycle -- Periodicals; 658.56
• Languages: English
• ISSNs: 1743-5110

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.