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The main objective of the present work was to identify quantitatively the microstructure parameters which control grain growth kinetics and texture evolution during annealing of some commercial Si-Fe steels. Therefore an extensive experimental investigation was carried out and the Statistical Model was applied in order to simulate grain growth as a function of annealing time on some industrial materials. A microstructure characterization was carried out in 3%Si and 1%Si non-oriented silicon-iron after different annealing treatments. Experimental grain size and distribution, texture, inhibition factor after primary recrystallization and Fe-Si boundary energy and mobility were the input data for computer simulations. A detailed group of simulations were performed to investigate the secondary recrystallization in grain oriented 3% Silicon-Iron and define the necessary conditions for the proper texture evolution during grain growth and the parameters affecting the optimal texture selectivity. The results of this work have shown how the Statistical Model is able to predict quantitavely the degree and mode of grain growth and textures. Such prediction capability of the Statistical Model is very important for production process control and improvement of magnetic properties of currently producted steels.

Additional information

Authors: CAMPOPIANO A, Centro sviluppo materiali SpA, Roma (IT);MATERA S, Centro sviluppo materiali SpA, Roma (IT)
Bibliographic Reference: EUR 16700 IT (1997) 135pp., FS, ECU 23.00
Availability: Available from the (2)
ISBN: ISBN 92-828-0839-4
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