Siemens Aktiengesellschaft

Siemens Aktiengesell Schaft

Gunter Sorgel

Otto Gramckow

Thomas Martinetz

Friedemann Schmid

Thomas Poppe

Peter Protzel

Friedmann Schmid

A system for calculating an output of a multi-stage forming process using a model of the forming process with which the output of the forming process is determined as a function of properties of the forming process. Selected properties of the forming process are determined using a neural network-based information processing arrangement.

System for calculating an output of a multi-stage forming process

In the control of a material-processing process in a regulated system, a preliminary adjustment of the system takes place at the beginning of each process cycle as a function of a precalculated process parameter. A material characteristic which is relevant for the process and which in turn is dependent on state variables (such as the composition of the material and its temperature), is included in an advance calculation of the process parameter. The relationship between the state variables and the material property is modelled in a neural network which forms a prediction value for the material property on its output side. As a function of the deviation between the prediction value and an actual value for the material property which is determined based on measuring the process parameter during the process cycle, an adaptive change of the network parameters takes place in the sense of reducing this deviation.

Method and control device for controlling a material-processing process

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Nurnberg, Germany

Gunter Sorgel