Estimation and Prediction of Coordinate Measurement Uncertainty: Recent Trends and Developments
A special issue of Metrology (ISSN 2673-8244).
Deadline for manuscript submissions: 15 October 2026 | Viewed by 215
Special Issue Editors
Interests: coordinate metrology (in scales ranging from nanometers to large volume objects); in-process metrology; coordinate measuring systems (including portable measuring systems and computed tomography systems); measurement accuracy; simulation and numerical methods in metrology (especially the Monte Carlo method); methods for identifying and correcting geometric errors of machines
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to consolidate knowledge on developed and currently emerging solutions enabling the determination and prediction of measurement uncertainty at the measurement task design stage. Early-stage uncertainty forecasting supports the simulation of measurement strategies for hard-to-access features, facilitates efficient production line design, enables the optimal selection of measurement equipment for specific applications, and shortens the procurement processes of coordinate measuring machines (CMMs). Such capabilities are particularly important in situations of limited access to measuring equipment or when the measured object does not yet exist.
From a metrological perspective, uncertainty estimation is a key and indispensable element of conformity assessment processes, and knowledge of its level at an early stage enables informed and reliable decision-making.
In the era of the rapid development of artificial intelligence, database-driven solutions that exploit existing knowledge and archival data across various processes are being intensively developed. This Special Issue seeks to gather research on the current directions in the development of such solutions, including concepts of virtual machines and digital twins that support uncertainty estimation processes in coordinate metrology. Bringing these topics together in a single forum will enable comprehensive research on this highly significant issue and inspire the metrology community to develop effective solutions that integrate diverse research approaches.
Prof. Dr. Adam Gąska
Guest Editor
Dr. Danuta Owczarek
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- uncertainty estimation
- prediction
- simulation
- virtual machines
- digital twins
- databases
- artificial intelligence
- machine learning
- coordinate measuring machines (CMMs)
- virtual coordinate measuring machine
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