AUTHORS: Gelu Ovidiu Tirian, Csaba Attila Gheorghiu, Teodor Heput, Andreea Tirian
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ABSTRACT: The paper present an intelligent system for crack detection in continuous casting processes. The intelligent system is made up by a neural network used for crack detection and a fuzzy-controller for predicting and eliminating them. This system uses all data in the process to correct the casting speed and the cooling water. We have changed the system in a Matlab-Simulink environment, and hence, we have designed a simulation pattern, the input signal generators, the fuzzy controller, and the prediction block for all speed and water flow values. When using the model, we have applied a number of input data sets, and the pattern has generated real output values, also acknowledging the system design. The solution is a new concept who combine neural networks with fuzzy logic for a good solution to control continuous casting process.
KEYWORDS: control system, continuous casting, cracks, fuzzy logic, neural networks, casting speed, water flow
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