Nicola Senin
Information-rich surface metrology
Senin, Nicola; Leach, Richard K.
Abstract
Information-rich metrology refers to the incorporation of any type of available information in the data acquisition and processing pipeline of a measurement process, in order to improve the efficiency and quality of the measurement. In this work, the information-rich metrology paradigm is explored as it is applied to the measurement and characterisation of surface topography. The advantages and challenges of introducing heterogeneous information sources in the surface characterisation pipeline are illustrated. Examples are provided about the incorporation of structured knowledge about a part nominal geometry, the manufacturing processes with their signature topographic features and set-up parameters, and the measurement instruments with their performance characteristics and behaviour in relation to the specific properties of the surfaces being measured. A wide array of surface metrology applications, ranging from product inspection, to surface classification, to defect identification and to the investigation of advanced manufacturing processes, is used to illustrate the information-rich paradigm.
Citation
Senin, N., & Leach, R. K. (2018). Information-rich surface metrology. Procedia CIRP, 75, 19-26. https://doi.org/10.1016/j.procir.2018.05.003
Journal Article Type | Article |
---|---|
Acceptance Date | May 16, 2018 |
Online Publication Date | Sep 3, 2018 |
Publication Date | Sep 3, 2018 |
Deposit Date | May 21, 2018 |
Publicly Available Date | Sep 3, 2018 |
Journal | Procedia CIRP |
Print ISSN | 2212-8271 |
Electronic ISSN | 2212-8271 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 75 |
Pages | 19-26 |
DOI | https://doi.org/10.1016/j.procir.2018.05.003 |
Keywords | Surface metrology; Areal topography characterisation; Information rich metrology |
Public URL | https://nottingham-repository.worktribe.com/output/932481 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S2212827118306310 |
Additional Information | Paper from 15th CIRP Conference on Computer Aided Tolerancing – CIRP CAT 2018, 11-13 Jun 2018, Milan, Italy. |
Files
CIRP CAT 2018_NS and RKL Keynote v2.1.pdf
(7.5 Mb)
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Information-rich surface metrology
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Publisher Licence URL
https://creativecommons.org/licenses/publicdomain
Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf
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