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An industry oriented computational tool for modelling microstructure in continuous casting of steel

Reference number
Coordinator Swerea KIMAB AB
Funding from Vinnova SEK 282 400
Project duration March 2017 - September 2017
Status Completed
Venture Materials based competitiveness 2016
Call Materials based competitiveness - Fall 2016

Purpose and goal

In this pre-study an industry oriented computational tool (MiCAST) for modelling microstructure in the continuous casting of steel has been developed, which can support the development of new product and process optimization with cooperation of one active steel producer. The project is expected to strengthen Swedish steel producer’s materials based competitiveness, increase their growth potential through the use of advanced simulation tools and access to specialist expertise in the field. The model can be further developed and validated with production data.

Expected results and effects

For the development of new steel grades or products, MiCAST could be used as a computational tool, providing fast results by using Thermo-Calc and 2D finite element method. With simulation it is possible at an early stage to exclude unsuitable ideas, and identify and focus on suitable process parameters. This accelerates the production of materials and reducing unnecessary waste of material in the product development process. It is particularly important when producing difficult-to-cast steels.

Planned approach and implementation

At first, a special program based on Thermo-Calc is used for calculating solidification related thermo-physical material properties and phase fraction. Secondly, a solidification of steel coupled finite element analysis is performed to get temperature histories and explore the solidification process. Finally, a user-friendly and easy-to-use interface was developed and utilized for verifying real continuous casting of steel using industrial data.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 25 November 2019

Reference number 2016-05414

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