Projects / Programmes
Simulation of hot rolling for topmost steel grades
| Code |
Science |
Field |
Subfield |
| 2.13.01 |
Engineering sciences and technologies |
Process engineering |
Multi-phase systems |
| Code |
Science |
Field |
| 2.03 |
Engineering and Technology |
Mechanical engineering |
Steel, hot rolling, multiphase systems, large deformation, computational solid mechanics, fracture mechanics, dammage mechanics, multiscale modelling, meshless methods, through process modelling and simulation, optimization.
Researchers (15)
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
05912 |
PhD Andrej Bombač |
Process engineering |
Researcher |
2022 - 2023 |
0 |
| 2. |
35645 |
PhD Jaka Burja |
Materials science and technology |
Researcher |
2021 - 2024 |
0 |
| 3. |
38848 |
PhD Tadej Dobravec |
Process engineering |
Researcher |
2020 - 2023 |
0 |
| 4. |
30833 |
PhD Umut Hanoglu |
Process engineering |
Head |
2020 - 2024 |
0 |
| 5. |
37412 |
PhD Vanja Hatić |
Process engineering |
Researcher |
2020 - 2021 |
0 |
| 6. |
21381 |
PhD Miha Kovačič |
Manufacturing technologies and systems |
Researcher |
2020 - 2024 |
0 |
| 7. |
33584 |
PhD Qingguo Liu |
Process engineering |
Researcher |
2020 - 2024 |
0 |
| 8. |
36364 |
PhD Boštjan Mavrič |
Process engineering |
Researcher |
2020 |
0 |
| 9. |
35031 |
PhD Katarina Mramor |
Process engineering |
Researcher |
2020 - 2024 |
0 |
| 10. |
15269 |
PhD Bojan Podgornik |
Materials science and technology |
Researcher |
2020 - 2024 |
0 |
| 11. |
51900 |
Khush Bakhat Rana |
Process engineering |
Junior researcher |
2020 - 2024 |
0 |
| 12. |
01371 |
PhD Zlatko Rek |
Process engineering |
Researcher |
2020 - 2024 |
0 |
| 13. |
04101 |
PhD Božidar Šarler |
Process engineering |
Researcher |
2020 - 2024 |
0 |
| 14. |
23018 |
PhD Robert Vertnik |
Manufacturing technologies and systems |
Researcher |
2020 - 2024 |
0 |
| 15. |
53510 |
Gašper Vuga |
Process engineering |
Junior researcher |
2020 - 2024 |
0 |
Organisations (3)
Abstract
The co-funder of the project is internationally recognised topmost Slovenian steel producer Štore Steel. The company is globally recognised because of topmost products, used in automotive, airplane, spacecraft, sports and defence industries. The products are mainly exported to demanding foreign markets where they stand out in technical completeness and exceeding high quality standards, set by the customers. The project contents are tied to a sequence of our previous, successfully completed industrial research projects for Štore Steel in the period 15.9.2015-30.6.2020. This projects were based on previously successfully completed young researcher status of the principal investigator of the present project and knowledge acquired in the framework of the projects J2-4120 (2011-.2014), J2-7383 (2016-2018) and L2-6775 (2014-2017) led by his supervisor Prof. Šarler. All projects were reviewed with exceptional marks regarding all criteria after completion. These projects resulted in development of a slice model based simulation system for hot rolling of steel for reversing rolling mill and finishing rolling mill. The simulation system is computationally based on our originally developed meshless computing technology for which we obtained several domestic and foreign awards. The main aim of this applied project is to further develop and enhence the existing rolling simulation system which focuses on fracture mechanics, damage mechanics, deformation theory and process optimization. For this also the preheating phase and cooling after the rolling needs to be added and coupling with the continuous casting model. In this project, an integrated multiscale and multiobjective model of the mentioned rolling process will be further developed and will describe the phenomena from the reheating furnace to the cooling of the billets. A model of such complexity has never been developed before for specific usage of rolling and will be world leading. The multiscale coupling will include relations between the process parameters, macrostructure, microstructure and properties. The multi-objective features will enable proper setting and optimisation of process parameters as a function of rolling productivity, product quality and/or environmental impact. The macrostructure models will rely on continuum mechanics with coupled equations of deformation and heat transfer. The microstructure models will rely on the empirical relations, obtained from the experiments. Any possible crack formation will be predicted based on damage mechanics and initialy defined cracks will be simulated in regard to fracture mechanics. The models will be evaluated in three dimensional settings by using our original meshless methods for which we received numerous awards. The numerical implementation will be established on common computational platform that will be developed for the needs of this project. The platform will utilize domain-decomposition approach. This will exploit the parallel computing capabilities of modern supercomputers on which it will be installed. The models will be validated based on in-plant measurements and laboratory materials characterisation. The final goal of this modelling is the prediction of the product properties and evolution of casting defects (in particular the surface and internal cracks) during hot rolling as a function of complex process parameters as well as estimation of the possible design changes of the rolling mill. The expected effects of the new knowledge are: improved quality, enhanced process capabilities and productivity in production of a broad spectrum of products. Like in the previous projects, the results will be implemented in production, published in top impact factor journals and presented as keynotes on large international meetings.
