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Optimisation of the metallurgical structures and mechanical properties by improving the heat-treatment processes in flat and long production lines with new setup and control methods (ESTEP OPTIMET)
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Optimisation of the metallurgical structures and mechanical properties by improving the heat-treatment processes in flat and long production lines with new setup and control methods (ESTEP OPTIMET)

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The project aims at optimising the heat treatment processes in the downstream area to improve the metallurgical quality of the final product and reduction of costs, based on models and online measurements of the mechanical properties. One focus was on evaluating different pyrometers and testing and evaluating different radiation shields addressing the problem with measurements with hot furnace background radiation. Work has concentrated on developing applicable physically and data-based material models for the annealing of austenitic stainless steels, with parameters fitted in based on existing material data. The second main aspect is the development of statistical models to predict the hardness (yield point and strength stress) at the exit of a continuous annealing line based on process data and using data mining techniques. Different processing technologies for long products have been investigated, and a methodology and tool have been developed to fine tune the heat treatment processes in order to obtain the desired mechanical characteristics eliminating unwanted scattered values of hardness, due to uneven heating along the furnace. An FE model based on the moving fluid approach, as well as simplified models have been developed for the description and simulation of the dynamic (temperature) behaviour of annealing lines, and validated/adapted using measured process data and optimisation techniques. The last focus was on the design of model predictive control (MPC) and iterative learning control (ILC) systems. A simulator for annealing furnaces has been developed, integrating the property models as well the designed controllers.
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ISSN 1831-9424
ISBN 978-92-79-33082-7
DOI 10.2777/41542
Αριθμός καταλόγου KI-NA-26174-EN-N
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ISSN 1831-9424 ISBN 978-92-79-33082-7 DOI 10.2777/41542 Αριθμός καταλόγου KI-NA-26174-EN-N
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