Abstract
In previous research, an aerodynamic feeding system was developed, which autonomously adapts to different components by using a genetic algorithm that controls the physical parameters of the system (e.g. angle of inclination, nozzle pressure). The algorithm starts with two individuals with random values, generated within the boundaries of the parameters set by the user. Due to this, the setting time - the time that passes until a satisfactory orientation rate is reached - is hard to predict. The aim of this work is to identify basic interactions of geometric component properties with the physical parameters of the aerodynamic feeding system to determine in which areas of the workspace a satisfactory solution can be expected. By doing so, the initial population of the genetic algorithm can be generated based on certain geometric properties and would therefore no longer be random, presumably reducing setting time.
To identify interactions of component properties and system parameters, exemplary components were developed. They represent relevant single properties that have significant impact on the aerodynamic orientation process. These components were then fed into the aerodynamic orientation process and their behavior was documented. To identify correlations between certain geometric properties and physical parameters of the feeding system, the tests were planned and carried out using Design of Experiments methods. The results of the tests were also used to determine the direct interrelations of said properties and the suitability for aerodynamic orientation.
Chapter PDF
Similar content being viewed by others
References
Boothroyd, G.: Assembly Automation and Product Design. 2nd edn. Talyor & Francis Group, Boca Raton (2005).
Rockland, M.: Flexibilisierung der automatischen Teilebereitstellung in Montageanlagen. Springer, Berlin Heidelberg (1995).
Stocker, C., Hell, M., Reisch, R., Reinhart, G.: Automated Generation of Orienting Devices for Vibratory Bowl Feeders. In: Proceedings of the 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1586-1590. IEEE, Singapore (2017).
Mathiesen, S., Ellekilde, L.-P.: Configuration and Validation of Dynamic Simulation for Design of Vibratory Bowl Feeders. In: Proceedings of the 12th IEEE International Conference on Control & Automation (ICCA), pp. 485-492. IEEE, Kathmandu, Nepal (2016).
Hofmann, D., Huang, H., Reinhart, G.: Automated Shape Optimization of Orienting Devices for Vibratory Bowl Feeders. In: Journal of Manufacturing Science and Engineering Vol. 135 (5): 051017, ASME (2013).
Hansson, M. N., Mathiesen, S., Ellekilde, L.-P., Madsen, O.: Configuration System for Simulation Based Design of Vibratory Bowl Feeders. In: Proceedings of the 2016 IEEE International Conference on Simulation, Modeling and Programming for Autonomous Robots, pp. 147-154. IEEE, San Francisco, USA (2016).
Hofmann, D., Reinhart, G.: Simulationsgestützte Auslegungsmethode für Ordnungsschikanen. In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 108 (3), pp. 148-153. Carl Hanser Verlag, München (2013).
Goemanns, O. C., van der Stappen, A. F.: On the design of traps for feeding 3D parts on vibratory tracks. In: Robotica vol. 26, pp. 537-550. Cambridge University Press, Cambridge (2008).
Busch, J.; Blankemeyer, S.; Raatz, A.; Nyhuis, P.: Implementation and Testing of a Genetic Algorithm for a Self-learning and Automated Parameterization of an Aerodynamic Feeding System. In: Procedia CIRP 44, pp. 79–84. Elsevier (2016).
Busch, J.; Knüppel, K.: Development of a Self-Learning, Automatic Parameterisation of an Aerodynamic Part Feeding System. In: Advanced Materials Research vol. 769, pp. 34–41. (2013).
Fleischer, J.; Herder, S.; Leberle, U.: Automated supply of micro parts based on the micro slide conveying principle. In: CIRP Annals 60 (1), pp. 13–16. (2011).
Frädrich, T.; Pachow‐Frauenhofer, J.; Torsten, F.; Nyhuis, P.: Aerodynamic feeding systems. An example for changeable technology. In Assembly Automation 31 (1), pp. 47–52. (2011).
Lorenz, B.-M.: Aerodynamische Zuführtechnik. In: Fortschritt-Berichte VDI; Reihe 2, Fertigungstechnik, 524. VDI-Verlag, Düsseldorf (1999).
Rybarczyk, A.: Auslegung aerodynamischer Zuführverfahren. In: Berichte aus dem IFA 1, pp. 1-124. Produktionstechnisches Zentrum Hannover, Garbsen (2004).
Busch, J.: Entwicklung einer intelligenten aerodynamischen Zuführanlage für die Hochleistungsmontage. In: Berichte aus dem IFA 7/2016. PZH Verlag, Garbsen (2016).
Chattot, J. J.; Hafez, M. M.: Theoretical and Applied Aerodynamics. Springer, Dodrecht (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Copyright information
© 2020 The Author(s)
About this paper
Cite this paper
Kolditz, T., Wolf, M., Raatz, A. (2020). Correlation between Geometric Component Properties and Physical Parameters of an Aerodynamic Feeding System. In: Schüppstuhl, T., Tracht, K., Henrich, D. (eds) Annals of Scientific Society for Assembly, Handling and Industrial Robotics. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-61755-7_30
Download citation
DOI: https://doi.org/10.1007/978-3-662-61755-7_30
Published:
Publisher Name: Springer Vieweg, Berlin, Heidelberg
Print ISBN: 978-3-662-61754-0
Online ISBN: 978-3-662-61755-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)