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  • Physical metallurgy of rolling and finishing, the prediction of the mechanical properties of hot-rolled strip products by means of hybrid methods


The aim of the project was to acquire the essential metallurgical know-how needed to develop and establish the physical-neural models that would predict the variation of mechanical properties across the length and width of the product. The mechanical properties of steels in the hot-rolled condition should be predicted for a wide range of material compositions - based on the commercial steel grades.
The project can divide into physical and neural modelling. In the physical modelling, the input is the time-temperature-strain sequence during hot rolling and the predicted microstructure estimates the R(p0.2), R(m) and A(g) values. A neural network model able to account for various types of steel was the second main objective. Before modelling, the steels were classified with mathematical analysis into five classes based on the chemical composition, the rolling and coiling temperatures and the final thickness. The test results showed clearly that the neural network models were operating successfully for various steel types.
The third main objective was to develop hybrid models that combine physical models with neural networks. Furthermore, a hybrid model was also developed that specifies the results of neural network calculations using physical models. However, it was realised that, using this preliminary hybrid model for this kind of application, the accuracy of the predictions of mechanical properties of hot-rolled products is not improved essentially, so this development stage can only be taken as an intermediate one.

Additional information

Authors: KOMI J, Rautaruukki Oyi, Raahe (FI);RUHA P, Rautaruukki Oyi, Raahe (FI);ENGBERG G, SSAB, Borlange (SE);BORGGREN U, SSAB, Borlange (SE);KARLBERG M, MEFOS, Lulea (SE);ABAJO MARTINEZ N, Aceralia, Aviles (ES);LOPEZ J, Aceralia, Aviles (ES);KARJALAINEN P, University of Oulu, Oulu (FI)
Bibliographic Reference: EUR 20939 EN (2004), 320 pp. Euro: 45
Availability: EUR-OP reference: KI-NA-20939-EN-S Available from EUR-OP sales agents URL:
ISBN: ISBN: 92-894-7490-4
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