@inproceedings{2cc7810f735e4c93ab83ee04b5ba5319,
title = "Large eddy simulations of the effects of double-ruler electromagnetic braking and nozzle submergence depth on molten steel flow in a commercial continuous casting mold",
abstract = "In steel continuous casting, flow in the mold region is related to many quality problems such as surface defects and slag entrainment. An electromagnetic braking (EMBr) system is a method to control the steel flow field to minimize defects and capture inclusions. The position of the port of the Submerged Entry Nozzle (SEN) and the peak magnetic field both affect the performance of the EMBr. In the present work, an efficient multi-GPU based code, CUFLOW, is used to perform Large Eddy Simulations of the turbulent flow by solving the time-dependent Navier-Stokes equations in a domain that includes the slide gate, SEN and mold region. The computations were first validated by comparing the predicted surface velocity with plant measurements. Subsequently, eight LES simulations were conducted to study the effects of different EMBr values and SEN depths. The flow patterns in various regions are presented. The results show that applying EMBr greatly lowers top surface velocities and turbulent fluctuations.",
keywords = "Continuous casting, Electromagnetic braking, Large eddy simulation",
author = "Kai Jin and Vanka, {Surya P.} and Thomas, {Brian G.} and Xiaoming Ruan",
note = "Funding Information: The authors thank the financial supports from the National Science Foundation (Grant No. CMMI 11-30882) and the Continuous Casting Consortium, Univ. of Illinois at Urbana-Champaign, USA. Thanks to Baosteel, Shanghai, P.R. China for providing the casting conditions and measurements. This research is also part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the State of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. The authors also thank NVIDIA Hardware Grant Program for providing the GPUs for an in-house workstation. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; CFD Modeling and Simulation in Materials Processing 2016 - TMS 2016: 145th Annual Meeting and Exhibition ; Conference date: 14-02-2016 Through 18-02-2016",
year = "2016",
doi = "10.1002/9781119274681.ch20",
language = "English (US)",
series = "TMS Annual Meeting",
publisher = "Minerals, Metals and Materials Society",
pages = "159--166",
editor = "Laurentiu Nastac and Shafiq Alam and Shafiq Alam and Laurentiu Nastac and Hojong Kim and Lifeng Zhang and Lifeng Zhang and Neelameggham, {Neale R.} and Lifeng Zhang and Takanari Ouchi and Thomas, {Brian G.} and Harald Oosterhof and Miaoyong Zhu and Andreas Ludwig and Andreas Ludwig and Sabau, {Adrian S.} and Koulis Pericleous and Herve Combeau",
booktitle = "Rare Metal Technology 2016 - Held During TMS 2016",
address = "United States",
}