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
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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total | perc. | |||
1 | Germany | 61 | 53.98% | |
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3 | China | 7 | 6.19% | |
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5 | India | 2 | 1.77% | |
6 | Turkey | 1 | 0.88% | |
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8 | Romania | 1 | 0.88% | |
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10 | Bulgaria | 1 | 0.88% | |
other countries | 7 | 6.19% |
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