Leaders:  Prof. Annika Raatz, Prof. Peter Nyhuis
Email:  kolditz@match.uni-hannover.de
Team:  Torge Kolditz
Year:  2017
Date:  01-12-17
Sponsors:  DFG
Lifespan:  2017-2020

starting situation

An aerodynamic feeding system was developed at the IFA to counteract existing deficits in conventional feeding technology with regard to feeding performance, reliability and variant flexibility. This is characterised in particular by high feed rates of up to 1000 workpieces per minute and high technical availability. This feeding system can be adapted to different workpiece geometries by configuring only four system parameters. However, identifying the best possible values for these parameters was very time-consuming. For this reason, a genetic algorithm (GA) has been developed in previous research activities, which enables the feeder to independently identify the best possible values for these parameters and to adjust them automatically via appropriate hardware. As a result, the time needed to set up the feed system has been significantly reduced.


The goal is to increase the spectrum of workpieces to be fed and to further reduce the duration of the independent adjustment of the aerodynamic feeding system by further development of the simulation model as well as by the use of effective dependencies between workpiece properties and the optimum design of the GA. The simulation should be generally valid with regard to the limit values of workpiece properties to be specified and can be used for system parameterization without the presence of simulation expertise. In addition, the method of dynamically adapting to varying environmental conditions is to be expanded to maximize the feeding performance of the aerodynamic feeding system.


In addition to the design adaptation of the aerodynamic feeding system to increase the component range, a spectrum of workpieces shall be derived based on the experimental identification of limit values for workpiece properties. Based on this, a model is developed which can simulate the corresponding workpiece behaviour in aerodynamic orientation by extracting relevant workpiece data from the CAD models of workpieces. In this way, it should be possible to determine the optimum settings of any workpiece using simulation without having to carry out time-consuming and expensive analyses beforehand. Subsequently, the already developed method for dynamic parameterization is to be optimized so that the feed performance remains at the highest possible level even under changing environmental conditions.