Abstract
The knowledge of microstructure is essential to compute mechanical properties of hot rolled steel. Depending on process data and the chemical composition of the steel, a physical model is used to calculate microstructure parameters such as grain size, recrystallization and the γ-α-transformation. In addition to the physical model an artificial neural network is employed to calculate mechanical properties. New results from hot rolling mills are presented. The on-line application of the monitor system allows a quick release of strips after rolling and the saving of costs for quality control measurements. Process parameters could be adjusted to achieve desired mechanical properties of the product. Process data can either be obtained on-line from the process itself or can be simulated off-line, e.g. by Siemens’ HYBRid EXpert System HYBREX. Its central component is a high-performance flowsheet simulator, which enables complex plants to be modeled, simulated and evaluated. The architecture and capability of HYBREX will be presented as well as the newly achieved possibilities by integrating the microstructure model to the simulation tool.
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