Modeling under-cooling and equiaxed grain growth in continuous casting flow simulations

Mirko Javurek*, Alija Vila

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

The accurate knowledge of the cooling heat-flux in continuous casting spray cooling is essential to exactly control the cooling conditions. Recent investigations on laboratory test rigs by other research groups showed that the cooling heat-flux depends on many parameters and can not sufficiently be described by simple re­lations between spray water/air density and heat-flux density. In addition to the flow rates, parameters like nozzle type and arrangement, casting speed, surface temperature and orientation as well as the surrounding roll and roll bearing geometries influence the cooling heat-flux. Only measurements on hot surfaces can pro­vide the needed heat-transfer data for each individual cooling situation. A test rig for such measurements developed at PRIMETALS is presented. The test rig consists of a hot plate that can be moved in relation to water nozzles to simulate the strand moving with casting speed. Both nozzles and plate can be rotated to ar­bitrary angels with respect to gravity to simulate different orientations of the strand surface on a curved caster. Roll dummies can be mounted to analyze the influence of the rolls. The cooling heat flux is measured by applying an inverse modeling algorithm on the time signal of temperature sensors immersed in the hot plate. The design of the immersed sensor is optimized to minimize the inherent errors of the method in order to get accurate results. Process parameter studies are presented to show the influence of the parameters on the cooling effect of the nozzles.
Original languageEnglish
Number of pages9
JournalIronmaking & Steelmaking: Processes, Products and Applications
DOIs
Publication statusE-pub ahead of print - 30 Jul 2025
EventSteelSim 2023 - University of Warwick, Coventry, United Kingdom
Duration: 12 Sept 2023 → …

Fields of science

  • 203 Mechanical Engineering
  • 102009 Computer simulation
  • 211104 Metallurgy
  • 103032 Fluid mechanics
  • 205019 Material sciences

JKU Focus areas

  • Digital Transformation

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