Predicting the Microstructural Evolution of an Austenitic Stainless Steel by Hybrid Modeling

Andreas Johnsson; Mats Karlberg

doi:10.4028/www.scientific.net/MSF.783-786.2154

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HomeMaterials Science ForumMaterials Science Forum Vols. 783-786Predicting the Microstructural Evolution of an...

Predicting the Microstructural Evolution of an Austenitic Stainless Steel by Hybrid Modeling

Abstract:

During the annealing heat treatment following cold rolling of a 304L austenitic stainless steel sheet material, the material goes through changes in microstructure and mechanical properties. The cold rolling history together with the time/temperature trajectory in the annealing furnace can be used to model the final microstructure. In this work, physically based models for recrystallization and the following grain growth was created for the prediction of the microstructure evolution-both grain size and grain size distribution-, and an artificial neural network, ANN, was added for secondary effects. This is more commonly referred to as a hybrid model. The microstructure hybrid model was tested and validated against cold rolled and annealed production sheet material of various thicknesses and reductions, where the grain size and grain size distribution was measured by Electron Back Scatter Diffraction, EBSD. The recrystallization and grain growth parameters and functionality were fitted for non-isothermal conditions, against experimental tests of cold rolled material. Given process history and time/temperature data from the annealing heat treatment, the model can predict the microstructure, average grain size and grain size distribution with high accuracy and the executing time is short which makes it suitable for in-line use.

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Periodical:

Materials Science Forum (Volumes 783-786)

Pages:

2154-2159

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.783-786.2154

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Online since:

May 2014

Authors:

Andreas Johnsson*, Mats Karlberg

Keywords:

304L, Annealing, Modeling, Sheet Steel

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