The modelling of the measuring point reproduction error for optical coordinate measuring machines
Authors:
- Wiktor Harmatys,
- Michael Marxer,
- Piotr Gąska,
- Maciej Gruza,
- Adam Gąska
Abstract
Coordinate measuring machines (CMMs) are the most common measuring systems used for assessing the compliance of manufactured components with their geometrical specifications. Optical CMMs are currently gaining popularity as they enable fast and contactless measurement with accuracy almost as high as in case of tactile measurement. During the performing of measurement, the points at which the measurement is conducted are usually not exactly at the intended location, but due to different impacts (error sources), they are in the area surrounding this location. This paper presents a method for modelling the reproduction of point coordinates as probability ellipses geometrically limiting the area in which the actual measurement points may lie. Different mathematical algorithms for the description of these ellipses were examined and a discussion on the selection of the best method is presented in this paper.
- Record ID
- CUT48984ad048ba4898938f7f4bf4a956da
- Publication categories
- ; ;
- Author
- Pages
- [1-7]
- Other elements of collation
- fot.; rys.; Bibliografia (na s.) - 7; Bibliografia (liczba pozycji) - 11; Oznaczenie streszczenia - Abstr.
- Substantive notes
- Section: E-mobility, Sustainable Materials and Technologies
- Book
- Tracz Tomasz, Tomasz Tracz Mróz Katarzyna, Katarzyna Mróz Zdeb Tomasz Tomasz Zdeb (eds.): MATBUD’2020 – Scientific-Technical Conference: E-mobility, Sustainable Materials and Technologies, MATEC Web of Conferences, no. 322, 2020, [S.l.], EDP Sciences, ISBN 978-2-7598-9108-5
- Keywords in English
- optical cmm, accuracy, uncertainty
- DOI
- DOI:10.1051/matecconf/202032201053 Opening in a new tab
- URL
- https://www.matec-conferences.org/articles/matecconf/abs/2020/18/matecconf_matbud2020_01053/matecconf_matbud2020_01053.html Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 5
- Additional fields
- Indeksowana w: Web of Science
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT48984ad048ba4898938f7f4bf4a956da/
- URN
urn:pkr-prod:CUT48984ad048ba4898938f7f4bf4a956da
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.