Multi-Objective Optimization of an Aerodynamic Feeding System Using Genetic Algorithm

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Busch, J. & Nyhuis, P.: Multi-Objective Optimization of an Aerodynamic Feeding System Using Genetic Algorithm. In: International Journal of Mechanical and Mechatronics Engineering 9 (2015), S. 2084-2091. DOI: https://doi.org/10.5281/zenodo.1338548

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Sum total of downloads: 44




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Abstract: 
Considering the challenges of short product life cycles and growing variant diversity, cost minimization and manufacturing flexibility increasingly gain importance to maintain a competitive edge in today’s global and dynamic markets. In this context, an aerodynamic part feeding system for high-speed industrial assembly applications has been developed at the Institute of Production Systems and Logistics (IFA), Leibniz Universitaet Hannover. The aerodynamic part feeding system outperforms conventional systems with respect to its process safety, reliability, and operating speed. In this paper, a multi-objective optimisation of the aerodynamic feeding system regarding the orientation rate, the feeding velocity, and the required nozzle pressure is presented.
License of this version: CC BY 4.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2015
Appears in Collections:Fakultät für Maschinenbau

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pos. country downloads
total perc.
1 image of flag of Germany Germany 28 63.64%
2 image of flag of United States United States 5 11.36%
3 image of flag of Namibia Namibia 3 6.82%
4 image of flag of China China 2 4.55%
5 image of flag of No geo information available No geo information available 1 2.27%
6 image of flag of Turkey Turkey 1 2.27%
7 image of flag of Russian Federation Russian Federation 1 2.27%
8 image of flag of Romania Romania 1 2.27%
9 image of flag of Panama Panama 1 2.27%
10 image of flag of Italy Italy 1 2.27%

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