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Journal of Iron and Steel Research International 2021年第6期28卷 679-692页

作者： Guang-zong Zhang Nan Wang Min Chen Yan-qing Cheng School of Metallurgy Northeastern UniversityShenyang 110819LiaoningChina Institute for Frontier Technologies of Low-Carbon Steelmaking Shenyang 110819LiaoningChina Liaoning Province Engineering Research Center for Technologies of Low-Carbon Steelmaking Shenyang 110819LiaoningChina

A structure-based modeling of the CaO-‘FeO’-MgO-Al_(2)O_(3)-SiO_(2) system and its subsystems was investigated based on iron extraction nickel slagaluminum *** optimization in the present model indicated that the coefficient of free O^(2-)in FeO,a_(O_(FeO)^(2-)),on the lengths of network linkage had the largest value and O_(FeO)^(2-)(free O^(2)-in FeO)had the largest *** coefficients of bridging oxygen(a_(Si-O-Al) and a_(Al-O-Al))were lower than those of nonbridging oxygen and free oxygen(O^(2-)).viscosity prediction for the CaO-‘FeO’-(8 wt.%)MgO-Al_(2)O_(3)-SiO_(2) system was conducted at a fixed slag basicity,which indicated that the predicted viscosity changed monotonously with the FeO ***,the non-monotonous evolution with Al2O3 content reflected the amphoteric behavior of *** addition,the performances of the present model in predicting viscosity binary(‘FeO’-SiO_(2))to quinary(CaO-‘FeO’-MgO-Al_(2)O_(3)-SiO_(2))system were analyzed and a comparison with the established models was made.

关键词： Nickel slag viscosity model Slag structure Iron-bearing slag CaO-FeO-MgO-Al_(2)O_(3)-SiO_(2)system

Numerical simulation on flow of ice slurry in horizontal straight tube

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Frontiers in Energy 2021年第1期15卷 201-207页

作者： Shengchun LIU Ming SONG Ling HAO Pengxiao WANG Tianjin Key Laboratory of Refrigeration Technology Tianjin University of CommerceTianjin 300134China

Numerical simulation on flow of ice slurry in horizontal straight tubes was conducted in this paper to improve its transportation characteristics and *** paper determined the influence of the diameter and length of tubes,the ice packing factors(IPF)and the flow velocity of ice slurry on pressure loss by using numerical simulation,based on two-phase flow and the granular dynamic ***,it was found that the deviation between the simulation results and experimental data could be reduced from 20%to 5%by adjusting the viscosity which was reflected by *** confirmed the reliability of the simulation ***,two mathematical correlations between viscosity and flow velocity were developed *** could also be concluded that future rheological model of ice slurry should be considered in three sections clarified by the flow velocity,which determined the fundamental difference from single-phase fluid.

关键词： ice slurry horizontal tubes numerical simulation pressure drop viscosity model

Multi-model coupling-based dynamic control system of ladle slag in argon blowing refining process

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Journal of Iron and Steel Research International 2023年第5期30卷 926-936页

作者： Guang-da Bao Ting Wu Duo-gang Wang Xiao-bin Zhou Hai-chuan Wang School of Metallurgical Engineering Anhui University of TechnologyMa’anshan 243032AnhuiChina Shanghai Meishan Iron and Steel Co. Ltd.Nanjing 210039JiangsuChina

Since the current slagging of argon blowing refining process is relatively fixed,which cannot adapt to the fluctuation of converter smelting process,it poses the problems of poor metallurgical property of refining slag and a large amount of molten *** optimization system coupled with multiple models was proposed to dynamic control the ladle slagging in the argon blowing refining *** can compile the optimal dynamic slagging scheme in real time under the guarantee of deoxidation performance and reasonable *** argon blowing refining slag composition range of CaO/Al_(2)O_(3)=1.3-1.7,CaO/SiO_(2)=6-12,w(MgO)=2%-6% was determined based on FeO activity and liquidus temperature by equilibrium thermodynamic *** addition,it demonstrated better performance in the viscosity prediction task of the presented Visual Geometry Group 16-like one-dimensional convolutional neural network deep learning algorithm versus the Random Forest ensemble learning algorithm,as the adjusted coefficients of determination were 0.9712 and 0.9637,*** the system was applied in operation,the argon blowing refining process was stable,and the steel yield was enhanced,which promoted the intelligent steelmaking level while achieving the cost reduction and efficiency improvement.

关键词： Argon blowing refining process Deoxidation viscosity model Deep learning Intelligent steelmaking

Effect of the size and pressure on the modified viscosity of water in microchannels

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Acta Mechanica Sinica 2015年第1期31卷 45-52页

作者： Zhao-Miao Liu Yan Pang College of Mechanical Engineering & Applied Electronics Technology Beijing University of Technology

The phenomenon that flow resistances are higher in micro scale flow than in normal flow is clarified through the liquid viscosity. Based on the experimental results of deionized water flow in fused silica microtubes with the in- ner radii of 2.5 μm, 5μm, 7.5μm, and 10 μm, respectively, the relationship between water flow velocity and pressure gradient along the axis of tube is analyzed, which gradually becomes nonlinear as the radius of the microtube decreases. From the correlation, a viscosity model of water flow derived from the radius of microtube and the pressure gradient is pro- posed. The flow results modified by the viscosity model are in accordance with those of experiments, which are verified by numerical simulation software and the Hagen-Poiseuille equation. The experimental water flow velocity in a fused silica microtube with diameter of 5.03 μm, which has not been used in the fitting and derivation of the viscosity model, is proved to be comsistent with the viscosity model, showing a rather good match with a relative difference of 5.56%.

关键词： Microtube viscosity model Pressure gradientHagen-Poiseulle equation

THE INVESTIGATION ON THE RHEOLOGICAL BEHAVIOR OF SEMI-SOLID ALUMINUM ALLOY DURING DIE CASTING

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Acta Metallurgica Sinica(English Letters) 2002年第6期15卷 511-516页

作者： X.J. Yang and J.Liu School of Mechanic & Electronic Engineering, Nanchang University, Jiangxi 330029, China School of Mechanic & Electronic Engineering, Shanghai University, Shanghai 200072, China Sch. of Mech. and Electron. Eng. Nanchang Univ. Nanchang 330029 China Sch. of Mech. and Electron. Eng. Shanghai Univ. Shanghai 200072 China

Under the condition of die casting and reheating temperature of 570-580 degC, the rheological behavior of semi-solid aluminum alloy (A356) is pseudoplasticity at the shearrate of 2X10^-1X10^4s^(-1), and also shows dil... 详细信息

关键词： shear rate apparent viscosity viscosity model thixocasting

Rheological Behavior and Process Prediction of Low viscosity Epoxy Resin for RTM

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Journal of Wuhan University of Technology(Materials Science) 2014年第5期29卷 1078-1082页

作者：周洲蒋炳炎 CHEN Xingkai JIANG Fengze JIAN Yuping School of Mechanical and Electrical Engineering The State Key Laboratory of High Performance and Complex Manufacturing Central South University School of Aeronautics and Astronautics Central South University

The rheological behavior of a low epoxy resin system-SR8100/SD8734 for RTM in aviation industry was studied with viscosity experiments. The dual-Arrhenius rheological model and the improved engineering viscosity model were introduced and compared with the experimental data. The results indicated that the viscosity in the earlier stage calculated by dual-Arrhenius model matched the experimental data. As rising to 400 ***, the viscosity calculated by the improved engineering model was closer to the experimental data. The processing windows of the resin system for RTM were determined by combining the two models, which could predict the theological behavior of the resin system in a more credible way. 30-45 ℃ was the optimum processing temperature.

关键词： resin transfer molding(RTM) rheological behavior epoxy resin system viscosity model