Investigation on the Convergence of the Genetic Algorithm of an Aerodynamic Feeding System Due to the Enlargement of the Solution Space

Author:

Kolditz TorgeORCID,Ince Caner-VeliORCID,Raatz AnnikaORCID

Abstract

AbstractTo meet the demands for flexible assembly technology, an aerodynamic feeding system has been developed. The system autonomously finds the optimal configuration of four parameters – two angles of inclination, nozzle pressure and component speed – using a genetic algorithm, which has been presented in earlier work. To increase the flexibility of the feeding system, an actuator was implemented, that enables the variation of the nozzle position orthogonally to the moving direction of the components. This paper investigates the effects of the more flexible flow against the components on their behavior when passing the nozzle. Additionally, the nozzle position was implemented into the genetic algorithm as a fifth parameter. Therefore, the impact of the enlargement of the solution space of the genetic algorithm due to the implementation of a fifth parameter is investigated in this paper as well.

Publisher

Springer International Publishing

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Aerodynamic Feeding 4.0: A New Concept for Flexible Part Feeding;Procedia CIRP;2022

2. Aerodynamische Zuführtechnik;Zeitschrift für wirtschaftlichen Fabrikbetrieb;2021-11-01

3. Flexible Aerodynamic Part Feeding Using High-Speed Image Processing;Lecture Notes in Production Engineering;2021-09-05

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