Grain Size Prediction By Using A Meshless Rolling Simulation System*

- Organization:
- Associacao Brasileira de Metalurgia, Materiais e Mineracao
- Pages:
- 11
- File Size:
- 1059 KB
- Publication Date:
- Oct 1, 2019
Abstract
A rolling simulation system has been developed to calculate the macroscopic rate of deformation, stress, strain, and temperature fields by using a novel meshless method. The model is based on two-dimensional traveling slice assumption. The slices are aligned towards the rolling direction. The initial size of the billet, bloom or slab and the geometry of the grooves at each rolling stand, the distances between the rolling stands, and continuous or reverse rolling can be arbitrarily considered. The purpose of this paper is to complement these development by predicting and visualizing also the grain size of steel over the strand cross-section for each position in the rolling mill. The grain size models have been in one-way coupled to the macroscopic calculations. First the critical strain for dynamic recrystallization is being checked. If the calculated strain is higher than that, considering also the time for meta-dynamic recrystallization, dynamic or meta-dynamic grain size calculations are carried out. If the strain is too low then only the static recrystallization is considered together with its required time. Finally, austenite grain size and ferrite grain size are calculated respectively as the steel cools down. The listed physical models are based on collection of empirical relations found in literature. The user of the system is free to choose or create the model he wants with his own parameters. The simulation system has been coded as a user friendly computer application for an industrial use based on C# and .NET framework and runs on regular PCs. The computational time for a rolling simulation is usually less than one hour and can thus be straightforwardly used for optimization of the rolling mill design in a reasonable time.
Citation
APA:
(2019) Grain Size Prediction By Using A Meshless Rolling Simulation System*MLA: Grain Size Prediction By Using A Meshless Rolling Simulation System*. Associacao Brasileira de Metalurgia, Materiais e Mineracao, 2019.