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ISSN Online: 2379-1748

ISBN Flash Drive: 978-1-56700-472-4

ISBN Online: 978-1-56700-471-7

3rd Thermal and Fluids Engineering Conference (TFEC)
March, 4–7, 2018, Fort Lauderdale, FL, USA

OPTIMAL TUNDISH DEISGN USING OPENFOAM

Get access (open in a dialog) pages 969-972
DOI: 10.1615/TFEC2018.fip.022059

摘要

Tundish plays a crucial role in maintaining steel cleanliness (quality) by facilitating the removal of inclusions from molten steel. It is observed that floatation of inclusions is improved by increasing the residence time of molten steel in tundish through incorporation of flow modifiers such as dams, weirs, and turbo-pad in the tundish geometry. These flow modifiers also help in reducing the dead/short-circuit volume within tundish which is essential for maintaining thermal and chemical homogeneity of the steel. Thus it becomes important to analyze the flow of molten steel in tundish for different configuration of flow modifiers. In the present work, effect of varying position and height/depth of dam and weir on dead, plug and mixed volumes in tundish is studied. Thermal and flow profiles of molten steel within a tundish are obtained using OpenFOAM. Thereafter, Residence Time Distribution (RTD) analysis is carried out to calculate percentages of dead, plug and mixed volumes in the tundish. Design of Experiments method is used to generate different tundish configurations for various positions and heights/depths of dam and weir. Percentages of dead, plug and mixed volumes for each tundish design are obtained. Surrogate models to predict the responses (ratio of plug and mixed to dead volume) in tundish, with positions and heights/depths of dam and weir as variables are computed using a machine learning algorithm. These models are then used in an optimization framework to obtain the optimal tundish configuration for maximizing the responses using genetic algorithm.