Online prediction of the mechanical properties of hot rolled strips
A metallurgical model allows the prediction of the mechanical properties and microstructural characteristics of hot rolled steel strips immediately after production. Data collection was carried out in three different hot strip mills for the StripCam model validation. A physically based model, CamModel, developed by Corus, has been evaluated as an alternative to the StripCam model for predicting the microstructures of hot rolled strips. Both models generally produce very similar results. Corus has tried to determine the austenite grain size after reheating. The deviations found in the austenite grain size TKS model have no significant impact on the final results. New equations for the phase transformation kinetics model of CRM StripCam have been recalculated. Concerning the model developed by Arcelor Research, the focus was on the growth rate of ferrite assuming a mix mode mechanism: diffusion of carbon in the austenite and intrinsic mobility of the interface. A microstructural-based model for predicting the mechanical properties in ferrite-pearlite steels was developed by Arcelor Research. A mixture law without a fitting parameter is also proposed to determine the flow curve of a ferrite-pearlite microstructure. A major topic of StripCam improvement concerned the bainite mechanical property model. TKS has obtained new equations for a better prediction of the mechanical properties of annealed and of isothermal formed bainite. A more accurate TS equation was also adjusted by CRM. Neural models are able to predict accurately the mechanical properties if they have been properly trained with an adequate dataset. The final models have been extensively validated, showing a prediction error usually within acceptable tolerance ranges.
Bibliographic Reference: EUR 21978 EN (2006), 207 pp. Euro: 25
Availability: Katalogue Number: KI-NA-21978-EN-S The paper version can be ordered online and the PDF version downloaded at: http://bookshop.europa.eu
ISBN: ISBN: 92-79-01534-6
Record Number: 200719315 / Last updated on: 2007-07-10
Original language: en
Available languages: en