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RoboPIV: how robotics enable PIV on a large industrial scale

  • This work demonstrates how the interaction between particle image velocimetry (PIV) and robotics can massively increase measurement efficiency. The interdisciplinary approach is shown using the complex example of an automated, large scale, industrial environment: a typical automotive wind tunnel application. Both the high degree of flexibility in choosing the measurement region and the complete automation of stereo PIV measurements are presented. The setup consists of a combination of three robots, individually used as a 6D traversing unit for the laser illumination system as well as for each of the two cameras. Synchronised movements in the same reference frame are realised through a master-slave setup with a single interface to the user. By integrating the interface into the standard wind tunnel management system, a single measurement plane or a predefined sequence of several planes can be requested through a single trigger event, providing the resulting vector fields within minutes. In this paper, a brief overview on the demands of large scale industrial PIV and the existing solutions is given. Afterwards, the concept of RoboPIV is introduced as a new approach. In a first step, the usability of a selection of commercially available robot arms is analysed. The challenges of pose uncertainty and importance of absolute accuracy are demonstrated through comparative measurements, explaining the individual pros and cons of the analysed systems. Subsequently, the advantage of integrating RoboPIV directly into the existing wind tunnel management system is shown on basis of a typical measurement sequence. In a final step, a practical measurement procedure, including post-processing, is given by using real data and results. Ultimately, the benefits of high automation are demonstrated, leading to a drastic reduction in necessary measurement time compared to non-automated systems, thus massively increasing the efficiency of PIV measurements.

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Metadaten
Author:F. Michaux, P. Mattern, Stephan Kallweit
DOI:https://doi.org/10.1088/1361-6501/aab5c1
ISSN:1361-6501
Parent Title (English):Measurement Science and Technology
Publisher:IOP
Place of publication:Bristol
Document Type:Article
Language:English
Year of Completion:2018
Date of the Publication (Server):2018/06/28
Volume:29
Issue:7
First Page:074009
Note:
Special Section on the 12th International Symposium on Particle Image Velocimetry (PIV 2017)
Link: https://doi.org/10.1088/1361-6501/aab5c1
Zugriffsart:weltweit
Institutes:FH Aachen / Fachbereich Maschinenbau und Mechatronik
collections:Verlag / IOP
Open Access / Hybrid
Licence (German):License LogoCreative Commons - Namensnennung