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

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