MULTISCALE COMPUTER SIMULATION OF METASTABLE STEEL ROD DRAWING BY USING STATISTICAL REPRESENTATION OF MICROSTRUCTURE

1 KONSTANTINOV Dmitrii
Co-authors:
2 BZOWSKI Krzysztof 1 KORCHUNOV Alexey 1 KUZNETSOVA Alla 3 SHIRYAEV Oleg
Institutions:
1 Nosov Magnitogorsk State Technical University, Magnitogorsk, Russian Federation
2 AGH University of Science and Technology, Krakow, Poland
3 MMK-METIZ, Magnitogorsk, Russian Federation
Conference:
26th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, May 24th - 26th 2017
Proceedings:
Proceedings 26th International Conference on Metallurgy and Materials
Pages:
863-869
ISBN:
978-80-87294-79-6
ISSN:
2694-9296
Published:
9th January 2018
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
19 views / 2 downloads
Abstract

The article describes the state of the art computer simulation in the field of metal forming processes the main problem points of traditional methods were identified. The method, that allows predict the deformation distribution in the volume of deformable metal with taking into account of microstructure behavioral characteristics in deformation load conditions, was described. The article compares the results of modelling the TRIP effect and overlooking it. The comparison shows that martensite, which forms in the microstructure, causes a significant rise of equivalent stresses across the entire representative volume, which is extremely critical in the drawing process engineering. The method applied also gave a better understanding of how the microstructural elements interact in TRIP steel under strain, which helped explain more intense (2 or 3 times as high compared with the average values) radial strains in the plastic phases close to bigger grain clusters of stronger bainite and martensite phases. To save computing time, statistical representation of the microstructure was applied. Statistically Similar Representative Volume Element (SSRVE), representing meta-stable steel microstructure, was developed. Applying the SSRVE concept dramatically decreased the calculation time of the model while maintaining the overall accuracy. The study helped obtain initial data that can be used to design the drawing processes for TRIP steels. This will enable advanced and technically flexible materials to be used in the conventional drawing process, thus expanding the range of applicable steels.

Keywords: multiscale modeling, drawing, Statistical Representative Volume Element, microstructure, stress-strain state.
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