Prediction of rolled product properties by correlation with as-cast structure and rolled product/plant process variables, including segregation modelling
This project is a collaboration between Teesside Technology Centre - Corus UK Ltd, Centro Sviluppo Materiali (CSM), voestalpine Stahl Donawitz (VASD), Arcelor España, Corrosion and Metals Research Institute (KIMAB) - formerly (SIMR) Swedish Institute of Metals Research, Scuola Superiore Sant'Anna (SSSA) and Helsinki University of Technology (HUT). The project is coordinated by Corus. The aim of the project is to relate centreline segregation severity and distribution to the rolled product quality. This has been achieved by combining plant measurements, modelling and metallurgical assessment and taking an integrated view of the casting and subsequent rolling processes via slab, bloom and billet routes for both long and flat products. Industrial partners and partners with industrial contacts have collected plant process data and segregation data, including sulphur print images, for both as-cast semi products and for final rolled products. Image analysis programs have been used to characterise segregation in as-cast products and quantitative methods employed to determine segregation indices. Regression analyses and neural network studies have been carried out to determine links between as-cast process parameters/product qualities and rolled product qualities. Out of this study of as-cast product and rolled product datasets, correlation coefficients between key parameters have been evaluated and these coefficients have been used in mathematical models developed to predict both segregation profiles during casting and rolled product properties. Macrosegregation models have also been developed to enable slab, bloom and billet segregation profiles to be calculated, depending on process parameters and machine set-up conditions.
Bibliographic Reference: EUR 23309 EN (2008), 154 pp. Euro: 20
Availability: Katalogue Number: KI-NA-23309-EN-S The paper version can be ordered online and the PDF version downloaded at: http://bookshop.europa.eu
ISBN: ISBN: 978-92-79-08210-8
Record Number: 201010073 / Last updated on: 2010-01-22
Original language: en
Available languages: en