11th International Symposium on High Temperature Metallurgical Processing: Simulation of High-Temperature Processes
Sponsored by: TMS Extraction and Processing Division, TMS: Pyrometallurgy Committee
Program Organizers: Zhiwei Peng, Central South University; Jiann-Yang Hwang, Michigan Technological University; Jerome Downey, Montana Technological University; Dean Gregurek, RHI Magnesita; Baojun Zhao, Jiangxi University of Science and Technology; Onuralp Yucel, Istanbul Technical University; Ender Keskinkilic, Atilim University; Tao Jiang, Central South University; Jesse White, Kanthal AB; Morsi Mahmoud, King Fahd University Of Petroleum And Minerals
Monday 8:00 AM
February 24, 2020
Room: 12
Location: San Diego Convention Ctr
Session Chair: Jiann-Yang Hwang, Michigan Technological University; Jesse White, Elkem Carbon AS
8:00 AM Introductory Comments
8:15 AM
Simulation Model for Slag/Refractory-corrosion in the Metallurgical Engineering: Christoph Sagadin1; Stefan Luidold1; Christoph Wagner2; Christoph Pichler2; Alfred Spanring2; 1Montanuniversitaet Leoben; 2RHI Magnesita
In the ferroalloy industry, especially for the ferronickel production, the refractory stability represents an essential factor. The corrosion of refractory materials caused by chemical attack of high melting slags massively influences the furnace lifetime. To understand the complex processes of interaction between synthetic FeNi slag and magnesia refractory, thermodynamic simulations indicated the interactions between liquid slags and a selected refractory material. The applied model was compiled by the simulation package SimuSage and includes thermodynamic data from FactSageTM. At the end, the simulation should describe the reactions between slag and refractory during the corrosion process. Ultimately, this corrosion model should help to minimize the production cost of the industry by improving the refractory lifetime and performance.
8:35 AM
The Development of a Heat and Mass Transfer Model for a Shaft Kiln to Preheat Manganese Ore with Hot Air, Model Development Methodology: Sifiso Sambo1; Susanna Hockaday1; Tumi Seodigeng2; 1MINTEK; 2Vaal University of Technology
The PRéMA project aims to advance novel energy systems in the drying and preheating of furnace materials. The PRéMA project is funded by the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 820561. The use of a shaft kiln to preheat manganese ore to 600 °C with hot air before smelting is proposed to introduce solar thermal energy into the production of ferromanganese alloys. A two dimensional axial dispersion plug flow heat and mass transfer model is developed to inform the control of the shaft kiln by predicting the particle temperature profile. The calculated particle temperature profile will inform the required residence time under different air flow rates to obtain the product discharge temperature. The model will be validated with experiments in a packed bed experimental rig and further compared with published heat and mass transfer models.
8:55 AM Cancelled
Hydraulic Model Study of Combined Blowing in 65t Electric Arc Furnace (EAF): Xuetao Wu1; Rong Zhu1; Guangsheng Wei1; Kai Dong1; Lingzhi Yang2; 1University of Science and Technology, Beijing; 2Central South University
A hydraulic model with a similarity ratio of 1:4 was used to simulate the blowing parameters of 65t electric arc furnace (EAF). The molten bath stirring effects of different bottom blowing arrangements and flow rates under different combined blowing conditions were studied. On this basis, orthogonal experiments were designed to study the effects of bottom blowing rate, side blowing rate and bottom blowing arrangement on the mixing time of molten bath. The results showed that the bottom blowing arrangement has little effect on the mixing time of molten pool. Under the condition of combined blowing, the degree of influencing factors on mixed time from big to small was the side blowing rate, bottom blowing rate and bottom blowing arrangement. The industrial experiment showed that, compared with traditional process, the combined blowing process can increase the decarbonization rate and reduce the consumption of iron and steel materials.
9:15 AM Cancelled
Predictive Modelling and Optimization of the Variant Combinations of Material Ratios in the Gasification-reduction Coupling Process: Yiru Yang1; Lei Guo1; Qipeng Bao1; Zhancheng Guo1; 1University of Science and Technology Beijing
The combined coal gasification and flash ironmaking process (CG-FI) was the latest industrial practice of the non-blast furnace ironmaking, and it can also be recognized as a polygeneration system for high-quality syngas and reduced iron. A computational fluid dynamics (CFD) model was established to explore the process conditions based on the pilot-scale equipment. The turbulent flow, gas-particle coupling, and reaction kinetic model were considered in the model, which was already validated in the prior researches. In this study, the different feed combinations, including Oxygen/Coal ratio (0.6-0.8) and Ore/Coal ratio (0.2-1.6), was investigated to illuminate the interrelationship during the gasification-reduction coupling process. The results demonstrated that the qualified reduced iron (Reduction Degree=52.47%) can be obtained even in the worst case (Oxygen/Coal ratio=0.6, Ore/Coal ratio=1.6). Moreover, the dispersed hematite particles replaced the role of H2O as the coolant and partial oxidant in the traditional coal gasification process to enhance the gasification performance.