Modeling Under-Cooling and Equiaxed Grain Growth in Continuous Casting Flow Simulations

Mirko Javurek, Alija Vila

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Electromagnetic stirring in continuous casting is known to increase the amount of equiaxed crystals. The numerical simulation of liquid steel flow and temperature in the strand with and without stirring is an established tool to design stirring tools. Nevertheless, it is difficult to conclude the increase of equiaxed crystals in the cast product from the simulation results. Previously published criterions or relations insufficiently consider (or even ignore) the impact of convective heat transfer in the liquid steel. In a first step, the local super-heat temperature (or under-cooling temperature, if negative) is determined from the temperature field of the strand flow simulation: Using the approach of a dimensionless temperature field, the local super-heat temperature can be calculated a posteriori (i.e. without the need to run the simulation again) for arbitrary inflow-super-heat temperatures and concentration-dependent solidus/liquidus temperature intervals resulting from the steel grade phase diagram. The results show that the region of under-cooled steel is probably larger than commonly expected due the huge influence of convective heat transfer. In a second step, a local equiaxed crystal growth velocity for the under-cooled regions is derived based on the local liquid steel temperature. This growth effect can be implemented in the strand simulation as a scalar transport equation for the equiaxed crystal size.
Original languageGerman (Austria)
Title of host publicationSteelSIM 2023 Abstract Booklet
Publication statusPublished - 11 Sept 2023
EventSteelSim 2023 - University of Warwick, Coventry, United Kingdom
Duration: 12 Sept 2023 → …

Conference

ConferenceSteelSim 2023
Country/TerritoryUnited Kingdom
Period12.09.2023 → …

Fields of science

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

JKU Focus areas

  • Digital Transformation

Cite this