Giuseppe Musso
Towards uncertainty in dimensional metrology of surface features for advanced manufacturing
Musso, Giuseppe; Senin, Nicola; Galetto, Maurizio; Leach, Richard K.
Authors
Nicola Senin
Maurizio Galetto
Richard K. Leach
Abstract
In previous work, an original approach was developed for the dimensional characterisation of surface features on parts and test artefacts, aimed at supporting researchers involved in the study of advanced manufacturing processes. In the approach, methods and algorithms from image processing, coordinate metrology, surface metrology and reverse engineering are merged into an original framework for feature identification, extraction and dimensional characterisation, starting from areal topography data. With the ultimate goal of associating uncertainty to the results obtained in dimensional characterisation, this paper focuses on specifically investigating reproducibility and repeatability of dimensional characterisation results obtained on a test dataset consisting of a step-like feature manufactured by material jetting.
Citation
Musso, G., Senin, N., Galetto, M., & Leach, R. K. (2016). Towards uncertainty in dimensional metrology of surface features for advanced manufacturing.
Conference Name | euspen 16th International Conference & Exhibition |
---|---|
End Date | Jun 3, 2016 |
Publication Date | May 30, 2016 |
Deposit Date | Jul 22, 2016 |
Publicly Available Date | Jul 22, 2016 |
Peer Reviewed | Peer Reviewed |
Keywords | Surface metrology; Advanced manufacturing processes Dimensional characterisation; Uncertainty in measurement; Repeatability; Reproducibility |
Public URL | https://nottingham-repository.worktribe.com/output/788109 |
Publisher URL | http://www.euspen.eu/OurEvents/Nottingham2016.aspx |
Files
euspen 2.pdf
(3.6 Mb)
PDF
You might also like
Improving the localisation of features for the calibration of cameras using EfficientNets
(2023)
Journal Article
Autonomous image background removal for accurate and efficient close-range photogrammetry
(2022)
Journal Article
Applications of data fusion in optical coordinate metrology: a review
(2022)
Journal Article
Smart optical coordinate and surface metrology
(2022)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search