Abstract
In previous research, an aerodynamic feeding system was developed, which autonomously adapts to different components by using a genetic algorithm that controls the physical parameters of the system (e.g. angle of inclination, nozzle pressure). The algorithm starts with two individuals with random values, generated within the boundaries of the parameters set by the user. Due to this, the setting time - the time that passes until a satisfactory orientation rate is reached - is hard to predict. The aim of this work is to identify basic interactions of geometric component properties with the physical parameters of the aerodynamic feeding system to determine in which areas of the workspace a satisfactory solution can be expected. By doing so, the initial population of the genetic algorithm can be generated based on certain geometric properties and would therefore no longer be random, presumably reducing setting time.
Highlights
IntroductionIn the highly automated assembly processes seen in modern production, part feeding plays a vital role
The essential component of a vibratory bowl feeder (VBF) is the bowl with a spiral track, which is connected to a drive unit, which creates an alternating rotational movement of the bowl using suspension springs and electromagnets [3]
The results of the two screening trials show a high consistency regarding the orientation rates measured for each parameter configuration
Summary
In the highly automated assembly processes seen in modern production, part feeding plays a vital role. The essential component of a VBF is the bowl with a spiral track, which is connected to a drive unit, which creates an alternating rotational movement of the bowl using suspension springs and electromagnets [3]. This vibration is used to separate parts from the bulk at the bottom of the bowl and transport them up the spiral track, where traps are used to either reorient or reject components that are not in the desired orientation. Even with simulation tools at hand, retooling of the orienting devices requires manual labor in the manufacturing and assembly of the specially designed bowls and traps
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