Projection-based model order reduction for residence time distribution analysis of an industrial-scale continuous casting tundish
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866915511697145856 |
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| author | Gowrachari, Harshith Barra, Mattia Giuseppe Khamlich, Moaad Stabile, Giovanni Bazzaro, Gianluca Rozza, Gianluigi |
| author_facet | Gowrachari, Harshith Barra, Mattia Giuseppe Khamlich, Moaad Stabile, Giovanni Bazzaro, Gianluca Rozza, Gianluigi |
| contents | The flow behavior in the continuous casting tundish plays a critical role in steel quality and is typically characterized via residence time distribution (RTD) curves. This study investigates the fluid flow behaviour in a single-strand tundish using numerical and experimental approaches. Full-order model (FOM) steady-state simulations were conducted under both isothermal and non-isothermal conditions to assess the influence of thermal buoyancy on the flow characteristics. The results show that buoyancy effects under non-isothermal conditions have a negligible impact on the overall velocity field. The converged flow fields serve as initial conditions for transient tracer transport simulations, enabling evaluation of RTD curves and volume partitioning. A Galerkin projection-based reduced-order model (ROM) is developed to efficiently derive RTD curves. Comparison of RTD curves from experiments, FOM simulations, and ROM predictions demonstrates strong agreement, with both computational approaches closely matching experimental data. A parameter-time dependent ROM is subsequently developed using Galerkin projection and operator interpolation. This enables efficient evaluation of RTD curves across varying parameter values with significantly reduced computational cost compared to full-order simulations. The ROM framework is well-suited for real-time analysis, design processes, optimization, and digital twin applications in metallurgical processes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_20366 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Projection-based model order reduction for residence time distribution analysis of an industrial-scale continuous casting tundish Gowrachari, Harshith Barra, Mattia Giuseppe Khamlich, Moaad Stabile, Giovanni Bazzaro, Gianluca Rozza, Gianluigi Fluid Dynamics The flow behavior in the continuous casting tundish plays a critical role in steel quality and is typically characterized via residence time distribution (RTD) curves. This study investigates the fluid flow behaviour in a single-strand tundish using numerical and experimental approaches. Full-order model (FOM) steady-state simulations were conducted under both isothermal and non-isothermal conditions to assess the influence of thermal buoyancy on the flow characteristics. The results show that buoyancy effects under non-isothermal conditions have a negligible impact on the overall velocity field. The converged flow fields serve as initial conditions for transient tracer transport simulations, enabling evaluation of RTD curves and volume partitioning. A Galerkin projection-based reduced-order model (ROM) is developed to efficiently derive RTD curves. Comparison of RTD curves from experiments, FOM simulations, and ROM predictions demonstrates strong agreement, with both computational approaches closely matching experimental data. A parameter-time dependent ROM is subsequently developed using Galerkin projection and operator interpolation. This enables efficient evaluation of RTD curves across varying parameter values with significantly reduced computational cost compared to full-order simulations. The ROM framework is well-suited for real-time analysis, design processes, optimization, and digital twin applications in metallurgical processes. |
| title | Projection-based model order reduction for residence time distribution analysis of an industrial-scale continuous casting tundish |
| topic | Fluid Dynamics |
| url | https://arxiv.org/abs/2509.20366 |