Metal Forming Tool Monitoring Based on a 3D Measuring Endoscope Using CAD Assisted Registration.

endoscopy fringe projection maintenance metrology registration

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
05 May 2019
Historique:
received: 28 02 2019
revised: 29 04 2019
accepted: 01 05 2019
entrez: 8 5 2019
pubmed: 8 5 2019
medline: 8 5 2019
Statut: epublish

Résumé

In order to provide timely, reliable, and comprehensive data for the maintenance of highly stressed geometries in sheet-bulk metal forming tools, this article features a possible setup by combining a 3D measuring endoscope with a two-stage kinematic. The measurement principle is based on the projection of structured light, allowing time-effective measurements of larger areas. To obtain data of proper quality, several hundred measurements are performed which then have to be registered and finally merged into one single point cloud. Factors such as heavy, unwieldy specimens affecting precise alignment. The rotational axes are therefore possibly misaligned and the kinematics and the hand-eye transformation remain uncalibrated. By the use of computer-aided design (CAD) data, registration can be improved, allowing a detailed examination of local features like gear geometries while reducing the sensitivity to detect shape deviations.

Identifiants

pubmed: 31060318
pii: s19092084
doi: 10.3390/s19092084
pmc: PMC6540117
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : CRC TR 73

Références

Sensors (Basel). 2009;9(1):568-601
pubmed: 22389618

Auteurs

Lennart Hinz (L)

Insitute of Measurement and Automatic Control, Leibniz University Hannover, Nienburger Straße 17, 30167 Hannover, Germany. lennart.hinz@imr.uni-hannover.de.

Markus Kästner (M)

Insitute of Measurement and Automatic Control, Leibniz University Hannover, Nienburger Straße 17, 30167 Hannover, Germany. markus.kaestner@imr.uni-hannover.de.

Eduard Reithmeier (E)

Insitute of Measurement and Automatic Control, Leibniz University Hannover, Nienburger Straße 17, 30167 Hannover, Germany. eduard.reithmeier@imr.uni-hannover.de.

Classifications MeSH