Challenge of Residence Time Distribution Curve in Tundish for Continuous Casting of Steel

Ding, Changyou; Lei, Hong; Chen, Shifu; Zhang, Han; Zhao, Yan; Zou, Zongshu

doi:10.1002/srin.202200187

Cited by 14 publications

(5 citation statements)

References 80 publications

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“…The RTD theory has been widely used and become a standard tool to design the flow control devices in the tundish. 23,24) However, it should be noted that we can only infer a part of the mixing information from the shape of an RTD curve, but the local mixing states cannot be identified. Figure 1 shows two different flow patterns in a simple flow system, (a) ideal mixed flow + ideal plug flow and (b) ideal plug flow + ideal mixed flow.…”

Section: Theoretical Considerationmentioning

confidence: 99%

An Integrated Workflow for Designing a Single-strand Tundish Using CFD-Taguchi Method and Mean Age Theory

Sheng

2023

ISIJ Int.

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The flow control devices (FCD) play an important role to realize the best metallurgical performance of the tundish. An integrated workflow for designing a single-strand tundish equipped with FCD is presented in this paper. Mean age theory was applied to predict the spatial mean age distributions in the tundish. Melt change efficiency (MCE) was used as a key measure to characterize the tundish's mixing performance. Taguchi method was employed to optimize the design factors, i.e. geometrical parameters of the FCD. The fluid flow and mixing of materials were analyzed based on the numerical simulations of a developed computational fluid dynamics (CFD) model. Compared to the residence time distribution (RTD) method, the mean age theory shows advantages in both numerical accuracy and efficiency. In addition, the size and location of undesired mixing zones can be easily identified which is essential for tundish design. The developed workflow that combined the CFD-Taguchi method and mean age theory can be used as an efficient tool for wide industrial applications.

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Section: Theoretical Considerationmentioning

confidence: 99%

An Integrated Workflow for Designing a Single-strand Tundish Using CFD-Taguchi Method and Mean Age Theory

Sheng

2023

ISIJ Int.

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“…The RTD methodology and the RTD-based mathematical modeling are still developing [34][35][36]. Various authors frequently propose new models in different domains [37][38][39]. Even though powerful computational modeling methods (e.g., computational fluid dynamics-CFD) have been developed since the appearance of RTD, these still require experimental validation, usually performed using tracer experiments [40][41][42].…”

Section: Rtd Development: Defining Moments In Time Representative Wor...mentioning

confidence: 99%

Residence Time Distribution: Literature Survey, Functions, Mathematical Modeling, and Case Study—Diagnosis for a Photochemical Reactor

Nechita,

Suditu,

Puițel

et al. 2023

Processes

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This paper aims to provide an overview of the fundamentals, development, and evolution of residence time distribution (RTD) methodology and its applications to the flow and mixing of fluids (and solid particles) modeling in different systems. A concise literature analysis is followed by a succinct presentation of RTD methodology’s experimental and theoretical foundations and RTD-based mathematical modeling, highlighting its importance. An experimental demonstration of RTD diagnostics on a photochemical reactor is performed to identify the most practical locations for the inlet/outlet pipes (axial or radial) and the photochemical reactor’s ideal working posture (horizontal, vertical, or inclined) and to understand the level of mixing and to determine the fluid flow defects. Using the relevant RTD functions and the corresponding central moments, it was possible to show that short circuits and dead zones occurred in each of the six considered reactor configurations. Following these investigations, design solutions were proposed to achieve a convenient exposure time, proper mixing, and uniform irradiation inside the reactor.

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“…All of them are designed to increase the residence times and plug flow volume of molten steel in the tundish for enhancing inclusion removal from the molten steel. However, the temperature of molten steel significantly decreases with the increasing residence times, which goes against the process of continuous casting [10][11][12]. The technology of channeltype induction heating in the tundish developed in recent decades [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Circular Channel Size and the A.C. Magnetic Field Parameters for Application in a Channel-Type Induction-Heating Tundish

Zhang,

Xu,

Iwai

2024

Metals

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In this paper, the appropriate channel design and operating conditions for the simultaneous operation of the inclusion removal and the induction heating of the molten steel by imposing the A.C. magnetic field around the circular channel have been studied. (1) The effect of the lift force and the turbulence force on the inclusion in the transition zone of the channel has been computed; the results show that when the diameter of the inclusion is not less than 0.1 mm, both forces can be neglected because they are less than the electromagnetic pinch force, especially when the shielding parameter is not less than 5.0. (2) The minimal channel length to remove the inclusions out of the dead zone was computed without the lift force and the turbulence force; the shielding parameter of 10.0~15.9 is optimal to obtain the shortest channel length. Furthermore, the slow velocity of the molten steel is desirable. (3) The molten steel temperature increase per unit channel length by the induction heating can be controlled by the A.C. magnetic field frequency; a high frequency condition is better for the efficient thermal supply in this calculation condition. (4) When the flow velocity of the molten steel in the channel with a length of 1 m and a radius of 0.075 m is 0.1 m/s, the shielding parameter of 15.9 is the optimal parameter to simultaneously remove the inclusions and heat up the molten steel in the circular channel. And when the non-dimensional magnetic field intensity of the A.C. magnetic field is 31.7, the removal rate of the 0.1 mm inclusion in the channel can reach more than 95% and the molten steel temperature can be heated over 10 K.

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Challenge of Residence Time Distribution Curve in Tundish for Continuous Casting of Steel

Cited by 14 publications

References 80 publications

An Integrated Workflow for Designing a Single-strand Tundish Using CFD-Taguchi Method and Mean Age Theory

An Integrated Workflow for Designing a Single-strand Tundish Using CFD-Taguchi Method and Mean Age Theory

Residence Time Distribution: Literature Survey, Functions, Mathematical Modeling, and Case Study—Diagnosis for a Photochemical Reactor

Optimization of the Circular Channel Size and the A.C. Magnetic Field Parameters for Application in a Channel-Type Induction-Heating Tundish

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