Flexible Aerodynamic Part Feeding Using High-Speed Image Processing

Download statistics - Document (COUNTER):

Kolditz, T.; Müller, P.; Bansmann, D.; Raatz, A.: Flexible Aerodynamic Part Feeding Using High-Speed Image Processing. In: Behrens, B.-A. et al. (Eds.): Production at the Leading Edge of Technology : Proceedings of the 11th Congress of the German Academic Association for Production Technology (WGP), Dresden, September 2021. Cham : Springer, 2022 (Lecture Notes in Production Engineering), S. 403-411. DOI: https://doi.org/10.1007/978-3-030-78424-9_45

Repository version

To cite the version in the repository, please use this identifier: https://doi.org/10.15488/13321

Selected time period:

year: 
month: 

Sum total of downloads: 71




Thumbnail
Abstract: 
In modern assembly systems, manufacturers expect a high level of flexibility and efficiency. As an interface between internal logistics and the actual assembly, part feeding technology plays a decisive role in the manufacturing process. Therefore, in this work, we propose a new way of flexible part feeding based on image processing and the proven principle of aerodynamic feeding technology. With a high-speed camera, we analyze the workpiece’s movement during the orientation process and automatically adjust the system parameters to ensure reliable and efficient feeding. Based on three parameters of the workpiece’s trajectory, we develop an algorithm that can systematically find suitable parameter combinations for efficient and reliable feeding. With the proposed concept, retooling for new workpieces can be achieved quickly, using only few components for the parameter setting. At the same time, no hardware changes are required for retooling when handling new components.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: BookPart
Publishing status: acceptedVersion
Issue Date: 2021-09-05
Appears in Collections:Fakultät für Maschinenbau

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 51 71.83%
2 image of flag of United States United States 13 18.31%
3 image of flag of Ireland Ireland 3 4.23%
4 image of flag of Hong Kong Hong Kong 1 1.41%
5 image of flag of Spain Spain 1 1.41%
6 image of flag of Canada Canada 1 1.41%
7 image of flag of Bulgaria Bulgaria 1 1.41%

Further download figures and rankings:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository


Browse