PR-503-047 - 2019 STEELSIM Conference Proceedings

Validation Techniques to Determine the State of Accuracy of Numerical Multiphase Modeling

Tim Haas, Moritz Eickhoff, Herbert Pfeifer

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Owing to temperatures about 1600 C, large scales and the visual opacity of liquid steel, direct measurements of most process parameters are impossible in steel metallurgy. Therefore, many processes are optimized by numerical simulations. However, these have to model almost exclusively multiphase problems. Despite numerous improvements in recent years, these are still understood with a great deal of uncertainty. This makes a validation of the numerical model mandatory. Various measurement methods were used for this purpose. Most often, the slag eye opening area, the bubble rising velocity or the fluid velocity are compared to the computed results. For example, Li et al. [1], Liu et al [2], Ramasetti et al. [3] validated their numerical model by comparing the results with measurements of the slag eye opening area. Sheng and Irons [4] and Mietz and Oeters [5] measured the bubble velocity and the bulk liquid velocity in the plume region by combining laser doppler anemometry (LDA) and magnetic probe in a water model. Like many others, Lou and Zhu [6] used these measurements to validate their numerical model. Flow measurement is the most rarely used validation technique. Lately, Haas et al. [7] used particle image velocimetry (PIV) to validate their numerical model.

Keywords: Ladle, Validation, Computational Fluid Dynamics, Slag Eye Opening, Bubble Swarm Tracking, Particle ImageVelocimetry