2016
DOI: 10.1002/srin.201500422
|View full text |Cite
|
Sign up to set email alerts
|

Mathematical Modeling of Inclusions Deposition at the Upper Tundish Nozzle and the Submerged Entry Nozzle

Abstract: Nozzle clogging is still a concern for steel makers due to the high-quality requirements and productivity in the continuous casting. The present work studies the factors involved in the inclusion deposition at the nozzle wall using numerical and analytical techniques. For this, a detailed fluid dynamic analysis inside the nozzle in a coupled tundish-mold system is undertaken. The results show that the inclusions reaching the nozzle, only 30% get deposited along its walls mainly at the upper tundish nozzle (UTN… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
19
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 18 publications
(20 citation statements)
references
References 34 publications
(32 reference statements)
1
19
0
Order By: Relevance
“…In order to understand the deposition location and mechanism, computational fluid dynamics (CFD) studies have been carried out to investigate the inclusion transport in turbulent steel flows and its deposition on the SEN walls. [9][10][11][12][13][14][15][16][17] Deposition rates of inclusions on the SEN wall were predicted by using an Eulerian deposition model, which considered the transport of inclusions in the turbulent flow boundary layer as well as the turbophoresis effect. [16,17] Finally, inclusions move into the mold accompanying steel flows, where the solidification of molten steel happens.…”
Section: Introductionmentioning
confidence: 99%
“…In order to understand the deposition location and mechanism, computational fluid dynamics (CFD) studies have been carried out to investigate the inclusion transport in turbulent steel flows and its deposition on the SEN walls. [9][10][11][12][13][14][15][16][17] Deposition rates of inclusions on the SEN wall were predicted by using an Eulerian deposition model, which considered the transport of inclusions in the turbulent flow boundary layer as well as the turbophoresis effect. [16,17] Finally, inclusions move into the mold accompanying steel flows, where the solidification of molten steel happens.…”
Section: Introductionmentioning
confidence: 99%
“…In addition to lowering productivity, clogging is detrimental to steel quality due to the releasing of clogs, which generates both large inclusions and unstable flow in the mold, leading to excessive surface level fluctuations . Nozzle clogging has been investigated using models to simulate the inclusion attachment process by a few researchers . In these models, particle transport and attachment can be modeled using a fluid flow model for the velocity and pressure fields, combined with a Lagrangian particle tracking method, such as the Discrete Particle Method (DPM) for the inclusions.…”
Section: Fluid Flow Modelingmentioning
confidence: 99%
“…[90] Nozzle clogging has been investigated using models to simulate the inclusion attachment process by a few researchers. [64,[90][91][92] In these models, particle transport and attachment can be modeled using a fluid flow model for the velocity and pressure fields, combined with a Lagrangian particle tracking method, such as the Discrete Particle Method (DPM) [93][94][95][96] for the inclusions. Argon gas can disrupt this clogging process, by changing the flow pattern.…”
Section: Nozzle Cloggingmentioning
confidence: 99%
“…Owing to the increasingly stringent quality requirements, many studies have investigated the equipment, process, and theoretical principles of continuous casting, particularly for the tundish, which is the final metallurgical element reactor [1][2][3][4][5][6]. To improve the removal of inclusions by the tundish, many flow control devices, such as the turbulence inhibitor, weir-dam, baffle with holes, and filter and gas-curtain device, have been developed to optimize the flow field, increase the residence time, and promote inclusions' removal [7][8][9][10][11][12][13][14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%