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Investigation of Natural Radioactivity and Dose Assessment over steel making Region

Open Journal of Ecology 2020年第7期10卷 397-403页

作者： Abdelazem E. A. Mohamed Mohammed A. Halato Siddig T. Kafi Department of Forensic Physics Regional Forensic Laboratory General Administration of Forensic Evidence Sudan Police Khartoum Sudan Department of Medical Physics Faculty of Sciences and Technology Al-Neelain University Khartoum Sudan

This study aims to measure the radiation dose over several steel-making factories in Khartoum region, Sudan. The authors used different techniques to detect the harmful Natural Occurring Radioactive Material (NORM) emitting through the steel-making process. While, an X-ray Diffractometer was utilized to detect the NORM in the isotopes clay elite and magnesio-ferrite over slag steel waste and soil. The worker dose was measured by using polimaster device and it was detected 56.448 mSv per year. And backpack mobile monitored the background over the waste and it was 0.048 μSv/h in accounting mode. In another hand gamma spectrometer with a high purity germanium detector detected the average of activity concentration of natural radionuclide over the slag steel waste and K-40 of it is 321 ± 3 Bq/Kg, Th-232 is 20.6 ± 5 Bq/Kg, Ra-226 is 15.2 ± 4 bq/Kg, Cs-137 is 3.33 ± 7 Bq/Kg, and over soil around the waste the concentration of K40, Ra226, Th232 was (185 ± 3, 12.6 ± 7, and 12.0 ± 5) Bq/Kg, respectively.

关键词： steel making Slag steel NORM Radiation Dose Radiation Survey

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Simulation and Techno-Economic Performance of a Novel Charge Calculation and Melt Optimization Planning Model for steel making

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Journal of Minerals and Materials Characterization and Engineering 2020年第4期8卷 277-300页

作者： Onigbajumo Adetunji Saliu Ojo Seidu School of Mechanical Medical and Process Engineering Queensland University of Technology Brisbane Australia Department of Metallurgical and Materials Engineering Federal University of Technology Akure Ondo State Nigeria

Process algorithm, numerical model and techno-economic assessment of charge calculation and furnace bath optimization for target alloy for induction furnace-based steelmaking is presented in this study. The developed algorithm combines the make-to-order (MTO) and charge optimization planning (COP) of the steel melting shop in the production of target steel composition. Using a system-level approach, the unit operations involved in the melting process were analyzed with the purpose of initial charge calculation, prevailing alloy charge prediction and optimizing the sequence of melt chemistry modification. The model performance was established using real-time production data from a cast iron-based foundry with a 1- and 2-ton induction furnace capacity and a medium carbon-based foundry with a 10- and 15-ton induction furnace capacity. A simulation engine (CastMELT) was developed in Java IDE with a MySQL database for continuous interaction with changing process parameters to run the model for validation. The comparison between the model prediction and production results was analyzed for charge prediction, melt modification and ferroalloy optimization and possible cost savings. The model performance for elemental charge prediction and calculation purpose with respect to the charge input (at overall scrap meltdown) gave R-squared, Standard Error, Pearson correlation and Significance value of (0.934, 0.06, 0.97, 0.0003) for Carbon prediction, (0.962, 0.06, 0.98, 0.00009) for Silicon prediction, (0.999, 0.048, 0.999, 9E -11) for Manganese Prediction, and (0.997, 0.076, 0.999, 6E -7) for Chromium prediction respectively. Correlation analysis for melt modification (after charging of ferroalloy) using the model for after-alloying spark analysis compared with the target chemistry is at 99.82%. The results validate the suitability of the developed model as a functional system of induction furnace melting for combined charge calculation and melt optimization Techno-economic evalu

关键词： Charge Calculation Process Simulation Modelling Induction Furnace steel making Techno-Economics Mass and Energy Balance

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OXIDE METALLURGY-ITS PURPOSES AND PRACTICAL APPROACHES

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Acta Metallurgica Sinica(English Letters) 1998年第2期11卷 79-86页

作者： Z.T.Ma D.Janke Freiberg Univ of Mining and Technology Germany

Under certain conditions, nonmetallic inclusions such as oxides, sulfides, nitrides and carbides are no longer harmful to steel service properties. With the new concept of oxide metallurgy, these properties can be improved by generating fine oxide inclusions which serve as heterogeneous nuclei for sulfide and fine ferrite. A novel continuous casting (CC) process is expected to be created with the utilization of oxide metallurgy. This is also useful for the forthcoming technologies of direct rolling and near-net-shape casting. The main idea of oxide metallurgy consists of an alternative oxidation technology. It is based on steels treated by complex metals such as Ti, Zr, Ti-Zr alloys and rare earth metals. The selected deoxidants should follow the required conditions which are concluded in this paper. (Author abstract) 45 Refs.

关键词： oxide steel making deoxidization rare earth

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Phosphorous Determination during the Oxygen Blow

Phosphorous Determination during the Oxygen Blow

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第八届（2011）中国钢铁年会

作者： Walter Vortrefflich Willem Heijne Jui Sen Wang Danieli Corus BV Rooswijkweg 271 1951ME Velsen-NoordThe Netherlands MSc Danieli Corus BV Rooswijkweg 271 1951ME Velsen-NoordThe Netherlands BSc MDC Sublance Probe Technology (Shanghai) Co. Ltd

＜正＞INTRODUCTION Controlling Phosphorous levels during the steelmaking process has always been *** the increased use of iron ores containing high Phosphorous,the measurement of Phosphorous at end point in BOF steelmaking continues to be a subject of interest because of the impact of Phosphorous on steel *** slag is complex in nature and contains several oxides like CaO,SiO 2,P2O5,MgO,MnO,and FeO *** the end of blow the

关键词： steel making BOF Sublance TSO Process Control DIRC Phosphorous Real-Time

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Vibration Style Ladle Slag Detection Method based on Discrete Wavelet Decomposition

Vibration Style Ladle Slag Detection Method based on Discret...

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第26届中国控制与决策会议

作者： Dengfeng Chen Haiyan Xiao Qichun Ji School of Information and Control Engineering Xi’an University of Architecture and Technology

ISBN: (纸本)9781479937097

The purity of molten steel is a crucial factor of steel products’ quality. Detection and removal of slag carryover from the molten metal is an important task in steel making procedure, especially in the continuous casting process Researchers have applied several different slag carryover detection methods to solve the slag carry-over since 1980 s such as electromagnetic coils method of AMEPA, Infrared thermal infrared imaging method, supersonic wave method and vibration method, which are all non-contact methods and some other contact type slag detection methods. In this paper, a non-contact vibration analysis slag detection method is presented. The main principle of this method is based on the vibration variety of ladle shroud between pure molten steel fluid and slag carryover fluid. The experiences of stee making operators have proven the differences of vibration wave in continuous casting process. The signal data gathered from produce field is analyzed by power spectral density（PSD） and discrete wavelet decomposition（DWD）. The experiment results are given, the vibration wave feature of slag carryover is distinctive. Which verified the validity of vibration slag detection method.

关键词： Slag Detection steel making Vibration Power Spectral Density Discrete Wavelet Decomposition.

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