The transfer of silicon from the gas phase to molten iron in the blast furnace

Tsuchiya, Nobuo; Tokuda, Masanori; Ohtani, Masayasu

doi:10.1007/bf02652699

Cited by 48 publications

(19 citation statements)

References 11 publications

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“…Hold-up in the absence of gas flow and in the presence of counter current gas flow. Owing to the complexity of liquid hold-up, they applied a semi-empirical approach [40,41,42] including both static and dynamic components. They concluded that the counter current gas flow has no significant effect on the liquid hold-up under a stable blast furnace operating conditions.…”

Section: Gas-liquid Multi-phase Flowmentioning

confidence: 99%

XDEM multi-physics and multi-scale simulation technology: Review of DEM–CFD coupling, methodology and engineering applications

Peters

Baniasadi

et al. 2019

Particuology

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The XDEM multi-physics and multi-scale simulation platform roots in the Extended Discrete Element Method (XDEM) and is being developed at the Institute of Computational Engineering at the University of Luxembourg. The platform is an advanced multi-physics simulation technology that combines flexibility and versatility to establish the next generation of multi-physics and multi-scale simulation tools. For this purpose the simulation framework relies on coupling various predictive tools based on both an Eulerian and Lagrangian approach. Eulerian approaches represent the wide field of continuum models while the Lagrange approach is perfectly suited to characterise discrete phases.Thus, continuum models include classical simulation tools such as Computational Fluid Dynamics (CFD) or Finite Element Analysis (FEA) while an extended configuration of the classical Discrete Element Method (DEM) addresses the discrete e.g. particulate phase. Apart from predicting the trajectories of individual particles, XDEM extends the application to estimating the thermodynamic state of each particle by advanced and optimised algorithms. The thermodynamic state may include temperature and species distributions due to chemical reaction and external heat sources. Hence, coupling these extended features with either CFD or FEA opens up a wide range of applications as di-verse as pharmaceutical industry e.g. drug production, agriculture food and processing industry, mining, construction and agricultural machinery, metals manufacturing, energy production and systems biology.

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Section: Gas-liquid Multi-phase Flowmentioning

confidence: 99%

XDEM multi-physics and multi-scale simulation technology: Review of DEM–CFD coupling, methodology and engineering applications

Peters

Baniasadi

et al. 2019

Particuology

View full text Add to dashboard Cite

show abstract

“…The O 2 content of the BF metal is negligibly small, i.e., the Fe leaves the furnace almost exclusively as hot metal [14]. An operation model is developed in this study using mass, energy and availability balance as described below.…”

Section: Modelling Of the Blast Furnace Operationmentioning

confidence: 99%

Modelling and analysis of blast furnace performance for efficient utilization of energy

Rasul

Tanty

Mohanty

2007

Applied Thermal Engineering

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“…Lower furnace temperatures tend to decrease (i) the rate of Si reduction and (ii) the equilibrium % Si m e t a l /% Si0 2s i a g ratio (Tsuchiya, 1976).…”

Section: Changementioning

confidence: 99%

Summary of Blast-Furnace-Operating Equations: Comparison between Predictions and Practice

Peacey

1979

The Iron Blast Furnace

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The transfer of silicon from the gas phase to molten iron in the blast furnace

Cited by 48 publications

References 11 publications

XDEM multi-physics and multi-scale simulation technology: Review of DEM–CFD coupling, methodology and engineering applications

XDEM multi-physics and multi-scale simulation technology: Review of DEM–CFD coupling, methodology and engineering applications

Modelling and analysis of blast furnace performance for efficient utilization of energy

Summary of Blast-Furnace-Operating Equations: Comparison between Predictions and Practice

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