Scrap Dissolution in Molten Iron Containing Carbon for the Case of Coupled Heat and Mass Transfer Control

Shukla, Ajay Kumar; Deo, Brahma; Robertson, David G.

doi:10.1007/s11663-013-9905-x

Cited by 44 publications

(39 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The current study extends the work of Dogan et al [6] by incoporating a model for slag formation as well as energy balances. The model for decarburization in the emulsion zone is modified to account for recent fidings [10] and the model for scrap melting is updated based on recent studies [11]. The mathematical model for the BOF is implemented as a system of Differential Algebraic Equations (DAEs) using CasADi [12] with a Python front-end.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Simulation of Basic Oxygen Furnace (BOF) Operation

2020

View full text Add to dashboard Cite

Basic oxygen furnaces (BOFs) are widely used to produce steel from hot metal. The process typically has limited automation which leads to sub-optimal operation. Economically optimal operation can be potentially achieved by using a dynamic optimization framework to provide operators the best combination of input trajectories. In this paper, a first-principles based dynamic model for the BOF that can be used within the dynamic optimization routine is described. The model extends a previous work by incorporating a model for slag formation and energy balances. In this new version of the mathematical model, the submodel for the decarburization in the emulsion zone is also modified to account for recent findings, and an algebraic equation for the calculation of the calcium oxide saturation in slag is developed. The dynamic model is then used to simulate the operation of two distinct furnaces. It was found that the prediction accuracy of the developed model is significantly superior to its predecessor and the number of process variables that it is able to predict is also higher.

show abstract

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Simulation of Basic Oxygen Furnace (BOF) Operation

2020

View full text Add to dashboard Cite

show abstract

“…On one hand, the decrease of the temperature demonstrates that the major reaction is basically at an end as a result of the relatively perfect crystallinity of the SiC. On the other hand, fused silica absorbs heat and causes a decrease in temperature, which is attributed to the molten coupling heating effect . The selective absorbing phenomena by different species at different temperature are unique characteristic of microwave synthesis .…”

Section: Resultsmentioning

confidence: 99%

“…On the other hand, fused silica absorbs heat and causes a decrease in temperature, which is attributed to the molten coupling heating effect. 19 The selective absorbing phenomena by different species at different temperature are unique characteristic of microwave synthesis. 10 These changes are attributed to a microwave coupling effect, 20 which means substance absorbs microwave and generate heat.…”

Section: Resultsmentioning

confidence: 99%

Investigation on heating behavior during the preparation of SiC crystals by microwave sintering

Song

Zhao

Fan

et al. 2017

Int J Applied Ceramic Tech

View full text Add to dashboard Cite

β‐SiC powders were synthesized by microwave sintering at 1400‐1850°C for 60 minutes with coal minerals. Raw materials were prepared with a sol‐gel method by coating SiO2 on coal mineral particles, and microwave sintering was conducted in a microwave chamber with TE666 resonant mode. Heating rates were controlled by input microwave power and heating behavior during the microwave sintering was also investigated. XRD, SEM, Raman, TEM techniques were carried out to characterize samples. It was found that different particle size of coal mineral particles gave rise to different heating effect, leading to different growth mechanisms of SiC crystals. This might be the unique features for microwave sintering. Particular SiC crystals dominated for small coal mineral particles, which attributed to microwave plasma effect. While SiC whiskers or fibers dominated for large coal mineral particles, which corresponded to microwave coupling effect. Microwave coupling effect prevailed for low heating rate which was apt to form particular SiC crystals. Whereas, higher heating rate enhanced microwave plasma and primarily resulted in SiC whiskers or fibers.

show abstract

“…A large range of Nusselt number equations has been developed for this case, with Prandtl and Reynolds numbers powered to

\frac{1}{3}

and

\frac{1}{2}

, respectively, e.g., the Nusselt number proposed by Shukla et al uses Prandtl and Reynolds numbers with such powers. Most calculations already implicitly involve the bath flow path; therefore, equation coefficients are modified in comparison to the coefficients in the original equations.…”

Section: Modelingmentioning

confidence: 99%

A Computational Model for Heat Transfer Coefficient Estimation in Electric Arc Furnace

Logar

Fathi

Škrjanc

2015

steel research int.

View full text Add to dashboard Cite

The paper studies the effects of solid and liquid steel properties on the heat transfer coefficient (HTC) in electric arc furnaces (EAFs). Mathematically speaking, the HTC is a function of solid and liquid steel properties. Different velocities of the bath cause different flow paths around the solid particles and therefore different HTCs-a computational issue that has not been addressed yet. Therefore, a simplified calculation model is proposed, intended for HTC estimation according to the EAF conditions. Although many studies investigated this topic, most of them either assume unconventional conditions for the EAF operation, are computationally complex or focus on a specific case; and are, therefore, hard to implement in general EAF models. The algorithm proposed in this paper introduces simplified, yet accurate equations for calculating the HTC between solid and liquid steels as a function of their properties. Due to simplicity of the algorithm, the computational times are very short; thus, the procedure can be used in online model environments in order to perform different heat-transfer-related calculations. The obtained results show high similarity with other practical and theoretical studies. Furthermore, implementation of the HTC calculation submodule in a comprehensive EAF model yielded high accuracy in steelbath temperature prediction.

show abstract

Scrap Dissolution in Molten Iron Containing Carbon for the Case of Coupled Heat and Mass Transfer Control

Cited by 44 publications

References 18 publications

Dynamic Modeling and Simulation of Basic Oxygen Furnace (BOF) Operation

Dynamic Modeling and Simulation of Basic Oxygen Furnace (BOF) Operation

Investigation on heating behavior during the preparation of SiC crystals by microwave sintering

A Computational Model for Heat Transfer Coefficient Estimation in Electric Arc Furnace

Contact Info

Product

Resources

About