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Genetic algorithm for the optimization of vision acquisition for on-the-fly position measurement of individual layers in fuel cell stack assembly

Schäfer, Jens; Allmendinger, Simeon; Hofmann, Janna; Fleischer, Jürgen


Polymer electrolyte membrane (PEM) fuel cells consist of hundreds of stacked individual layers. As misplacement can lead to product-malfunctions the positioning accuracy plays a crucial role during assembly. Thus, to increase accuracy and to lower the cycle time, this paper presents a camera-integrated gripper for single layer handling of fuel cell components. The overlapping of suction holes within a gripper system is used for position measurement of fuel cell layers. The hole pattern is optimized applying a genetic algorithm to precisely measure the position of individual layers.

Verlagsausgabe §
DOI: 10.5445/IR/1000141783
Veröffentlicht am 11.01.2022
DOI: 10.1016/j.procir.2021.11.237
Zitationen: 2
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2212-8271
KITopen-ID: 1000141783
Erschienen in 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0. Ed.: D. Mourtzis
Veranstaltung 54th CIRP Conference on Manufacturing Systems (CMS 2021), Online, 22.09.2021 – 24.09.2021
Verlag Elsevier
Seiten 1407-1411
Serie Procedia CIRP ; 104
Schlagwörter Handling; Positioning; Fuel Cell
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