Dynamic model for on-line observation of the current process state during RH degassing

Kleimt, B.; Köhle, S.; Jungreithmeier, A.

doi:10.1002/srin.200100128

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…In recent years, the Ruhrstahl-Heraeus (RH) degasser has been widely applied for the production of ultralow carbon steels, such as interstitial free and non-oriented electrical steels. Bubble behaviours, such as bubble size and bubble frequency, are key factors to the decarburisation efficiency, 1,2 and some researches have already been conducted to elucidate bubble behaviour during RH refining. [3][4][5][6] Kamata et al 3 investigated the effects of orifice diameter, orifice number, injection depth and gas flowrate on the circulation flow characteristics in RH using a water model.…”

Section: Introductionmentioning

confidence: 99%

Effects of gas injection with multihole orifices in upleg snorkel on bubble behaviour and decarburisation rate during RH refining

Jiang

Cheng

2012

Ironmaking & Steelmaking

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Physical model experiments have been conducted to investigate the effects of multihole orifices in the upleg snorkel on bubble behaviour and decarburisation rate during Ruhrstahl-Heraeus refining. Bubble behaviour was recorded by a high speed video camera and a volumetric mass transfer coefficient kA/V was used to evaluate the decarburisation rate. Measurement of the volumetric mass transfer coefficient kA/V was made by means of the CO 2 desorption from a NaOH solution. Pictures of bubble behaviour show that gas bubbles are generated separately from the multihole orifice in the low region of gas flowrate, but they tend to coalesce at high gas flowrate. It was demonstrated that kA/V increases with increasing gas flowrate and decreasing orifice hole diameter. In the low region of gas flowrate, kA/V for multihole orifices is larger than that for one-hole orifices. In this case, kA/V increases as the number of holes increases, and the hole distance of orifice has little effect on kA/V. However, in the high region of gas flowrate, kA/V for multihole orifices is lower than that for one-hole orifices, and kA/V decreases with the increase in orifice interhole distance. It was found that there exists a critical gas flowrate, above which kA/V for multihole orifices is lower than that for one-hole orifices. This critical value increases with increasing hole distance and hole number. Some explanations were also made in terms of bubble behaviour.

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Section: Introductionmentioning

confidence: 99%

Effects of gas injection with multihole orifices in upleg snorkel on bubble behaviour and decarburisation rate during RH refining

Jiang

Cheng

2012

Ironmaking & Steelmaking

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Deep Neural Network Prediction Model of Hydrogen Content in VOD Process Based on Small Sample Dataset

Yang

Wang

Zhang

et al. 2022

Metall Mater Trans B

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Real-Time Prediction Model of Carbon Content in RH Process

et al. 2022

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In the Ruhrstahl–Heraeus (RH) vacuum degassing process, we propose a real-time prediction model for the carbon content in molten steel, and show that the decarburization endpoint can be accurately determined using this model. Firstly, we applied a novel off-gas analyzer that can measure the carbon oxide concentration produced in the decarburization reaction faster and more accurately. Next, we generate decarburization curves using the off-gas components measured by the new analyzer. The decarburization curve describes the carbon content profile well during operation, and shows good agreement with the actual carbon content. In order to predict the carbon content during operation in real time, we create an artificial neural network (ANN) using the decarburization curves and operation data. By comparing the endpoint carbon content measured at the end of the operation with the predicted values, we confirmed the excellent predictive performance of the ANN model. Finally, we show that it is possible to accurately determine the decarburization endpoint using the prediction model. We expect that the proposed real-time prediction model can increase the productivity of the RH process.

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Dynamic model for on-line observation of the current process state during RH degassing

Cited by 4 publications

References 7 publications

Effects of gas injection with multihole orifices in upleg snorkel on bubble behaviour and decarburisation rate during RH refining

Effects of gas injection with multihole orifices in upleg snorkel on bubble behaviour and decarburisation rate during RH refining

Deep Neural Network Prediction Model of Hydrogen Content in VOD Process Based on Small Sample Dataset

Real-Time Prediction Model of Carbon Content in RH Process

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