Numerical Investigation of In‐Mold Electromagnetic Stirring Effects on Flow Dynamics, Solidification Kinetics, and Inclusion Control

ABSTRACT A three‐dimensional, time‐dependent model was established to investigate billet continuous casting under electromagnetic stirring (EMS) conditions. The simulation framework combined a dynamic electromagnetic field (EMF) with fluid flow, solidification processes, and inclusion migration. The study examined how EMS influences solidification characteristics of molten steel by applying the k‐ε turbulence model in combination with the enthalpy‐porosity method. Moreover, the inclusion migration analysis was performed using a stochastic tracking model. It is observed that the presence of EMS follows to the disruption of formation of a solidified layer in the initial stage of casting in a mold wall, and consequently, the liquid core turns into a mushy interface at the centerline of the strand. Based on the comparison of peak velocities, it is observed that the inclusion velocity along the centerline of the stirrer decreases from 1.13227 m/s in the absence of EMS to 0.57128 m/s when EMS was applied. The process of stirring produces a uniform temperature distribution across the entire domain due to swirl flow production. A further experiment was carried out to determine the effects of inclusion size and density on removal behavior performance. From the results, it is clear that in‐mold EMS considerably influences removal performance and solidification.

Authors

Institutions

Publication Details

Journal
Heat Transfer
Published
2026-07-26
DOI
https://doi.org/10.1002/htj.70333
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Investigation of In‐Mold Electromagnetic Stirring Effects on Flow Dynamics, Solidification Kinetics, and Inclusion Control

Manoj Kumar Pal, Gyanendra Prasad Bagri, Rajneesh Kumar, Sohan Lal Sharma
Heat Transfer
Metallurgical Processes and Thermodynamics
article

Numerical Investigation of In‐Mold Electromagnetic Stirring Effects on Flow Dynamics, Solidification Kinetics, and Inclusion Control

Manoj Kumar Pal, Gyanendra Prasad Bagri, Rajneesh Kumar, Sohan Lal Sharma
article en

Abstract

ABSTRACT A three‐dimensional, time‐dependent model was established to investigate billet continuous casting under electromagnetic stirring (EMS) conditions. The simulation framework combined a dynamic electromagnetic field (EMF) with fluid flow, solidification processes, and inclusion migration. The study examined how EMS influences solidification characteristics of molten steel by applying the k‐ε turbulence model in combination with the enthalpy‐porosity method. Moreover, the inclusion migration analysis was performed using a stochastic tracking model. It is observed that the presence of EMS follows to the disruption of formation of a solidified layer in the initial stage of casting in a mold wall, and consequently, the liquid core turns into a mushy interface at the centerline of the strand. Based on the comparison of peak velocities, it is observed that the inclusion velocity along the centerline of the stirrer decreases from 1.13227 m/s in the absence of EMS to 0.57128 m/s when EMS was applied. The process of stirring produces a uniform temperature distribution across the entire domain due to swirl flow production. A further experiment was carried out to determine the effects of inclusion size and density on removal behavior performance. From the results, it is clear that in‐mold EMS considerably influences removal performance and solidification.

Heat Transfer
SRM Institute of Science and Technology (IN), Uttarakhand Technical University (IN)
Reduced inequalities
Openalex Percentile: Top 16%
Metallurgical Processes and Thermodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.