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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2011年第2期33卷 215-220页

作者： Chen, Xian-Zhong Yin, Yi-Xin Hou, Qing-Wen Li, Xiao-Li Ma, Jian Wang, Meng School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of the Ministry of Education of China for Advanced Control for Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

Metallurgical radar was developed which can be used in high temperature and hash production environments. It adopted an improved frequency-modulated continuous wave principle and enhanced the real-time performance of solid material level measurement. An intelligent time-varying threshold signal processing method was proposed to solve the radar ranging accuracy problem caused by the change of solid material surface reflection coefficient in a blast furnace. Measurement results in a solid-powder state material surface simulation environment in the laboratory shows that the measurement tracking delay of the metallurgical radar is within 0.2 s, and the maximum average tracking error is less than 0.05%. Field test results show that the average measurement error is 0.95%, indicating that the metallurgical radar is capable of stable material surface tracking in real-time and can meet the requirements of BF monitoring.

关键词： Blast furnaces

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Electromagnetic characteristic simulation of burden surface radar measurements in the BF closed environment

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2011年第1期33卷 87-92页

作者： Chen, Xian-Zhong Yin, Yi-Xin Hou, Qing-Wen Lu, Yi-Fang Wang, Pei-Yuan Li, Min School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of the Ministry of Education of China for Advanced Control for Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

Microwave electromagnetic characteristics in radar measurements of burden surfaces and media thickness of an ore and coke (O/C) layer were researched in the closed environment of a blast furnace (BF). With electromagnetic calculations and CST simulation software, a dielectric constant model of the media layer was developed to study the transmission, reflection and absorption characteristics of the burden surface and the O/C layer in BF. Also a reconstruction relational model of the number of distributing O/C layers in BF, microwave angle and frequency band concerned with the dielectric constant of the media layer was established. Using transmission and reflection electromagnetic characteristics of radar waves, combining with BF radar distributed radar sensor array installation and the different dielectric constants of the O/C layer in BF, the three-dimensional reconstruction imaging of burden surfaces and O/C layer thickness in BF was realized on-line.

关键词： Blast furnaces

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Predicted control for strip thickness based on information fusion

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2011年第3期33卷 358-362页

作者： Peng, Kai-Xiang Lai, Chun-Shan School of Information Engineering University of Science and Technology Beijing Beijing 100083 China Key Laboratory of the Ministry of Education of China for Advanced Control of Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

A state-space model of the control system in hot continuous rolling was proposed by using a recursive least squares algorithm by linearizing and discretizing the rolling force and thickness control equations. After an optimal information fusion algorithm based on Kalman filtering was presented, an asynchronous information fusion estimation algorithm was built for the complex multi-variable system of hot continuous rolling. This model was applied into the prediction of strip thickness and plasticity coefficient Q in the hot continuous rolling process. At last, the real-time forecast results of the coming strip thickness and plasticity coefficient of strips were synthetically utilized in the thickness control system of hot continuous rolling to improve the quality of final coming strip thickness.

关键词： Information fusion

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Revealing the Effect of Travelling-Wave Magnetic Field on Dendrite Growth of High-Strength steel Slab: Industrial Trials and Numerical Simulation

SSRN

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SSRN 2022年

作者： Yao, Cheng Wang, Min Ni, Youjin Wang, Dazhi Zhang, Haibo Xing, Lidong Gong, Jian Bao, Yanping State Key Laboratory of Advanced Metallurgy University of Science and Technology Beijing Beijing100083 China Technical Support Center for Prevention and Control of Disastrous Accidents in Metal Smelting University of Science and Technology Beijing Beijing100083 China Silicon Steel Department Shougang Qian'an Iron and Steel Company Hebei Qian'An 064404 China

The dendrite growth behaviours of high-strength steel during slab continuous casting with travelling-wave magnetic field was studied in this paper. The morphology of solidification structure and composition distribution were analysed in detail. The results showed that the columnar crystals could deflect and break when travelling-wave magnetic field worked with low current intensity. With the increase of current intensity, the secondary dendrite arm spacing and solute permeability decreased, and the columnar crystal transformed to equiaxed crystal. Electromagnetic force caused by travelling-wave magnetic field changed the temperature gradient and velocity magnitude, and promoted the breaking and fusing of dendrites. The order of dendrite compactness and composition uniformity from good to bad was columnar-to-equiaxed transition (high current intensity), columnar crystal zone (low current intensity), columnar-to-equiaxed transition (low current intensity) and equiaxed crystal zone (high current intensity). Additionally, combined with the verified numerical simulation results, as well as the boundary layer theory of solidification front and the dendrite breaking-fusing model, the dendrite deflection mechanism and growth process were revealed. © 2022, The Authors. All rights reserved.

关键词： Numerical models

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Revealing the Evolution Mechanism from Spot Segregation to Banded Defect Above the Austenitization Temperature

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SSRN 2023年

作者： Yao, Cheng Wang, Min Ni, Youjin Gong, Jian Gong, Tao Xing, Lidong Bao, Yanping State Key Laboratory of Advanced Metallurgy University of Science and Technology Beijing Beijing100083 China Technical Support Centre for Prevention and Control of Disastrous Accidents in Metal Smelting University of Science and Technology Beijing Beijing100083 China Qianshun Technology Center Shougang Qian'an Iron and Steel Company Hebei Qian'an064404 China

Spot segregation and banded defect are unsolved technical problems of high-quality steel. In this paper, spot segregation of different sizes and irregular morphology were found in equiaxed crystal zones of slab. The characteristics of speckle type and porosity type spot segregation were compared, where the segregation degree of large-size spot segregation was worse. After heat treatment and hot rolling processes, the concentration changes of carbon, manganese, and iron were obtained by EPMA and SEM-EDS. The results showed that the carbon distribution became more even but the change in manganese concentration was not obvious, and the maximum concentration of carbon was almost unchanged, which indicated that severe segregation cannot be alleviated by the existing processes. Circular and irregular atoms were found in the banded defect. These atoms cooperate with thermodynamic coupling caused by hot rolling and contribute to the composition homogenization and void healing of the banded defect. In addition, the connection between holding time and diffusion efficiency was studied by simulating the uphill diffusion process of carbon and manganese at a holding temperature of 1250 °C. When the diameter of the spot segregation was less than 3000 μm, the carbon could uniformly diffuse before 12000 s, and then if the spot segregation was kept warm for 36000 s, the mean concentration of manganese was still less than 1.0 wt%, which is too high to be considered homogenized. Finally, an evolution model was established to explain the formation process and evolution mechanism from spot segregation to band defect. © 2023, The Authors. All rights reserved.

关键词： Carbon

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Promotion Effect of Foam Formation on the Degradation of Polyvinyl Alcohol by Ozone Microbubble

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SSRN 2023年

作者： Zhang, Liang Li, Pan Wang, Xuelin He, Xin Li, Enchao Lan, Qingquan Liu, Yanan Yin, Daqiang State Key Laboratory of Pollution Control and Resources Reuse College of Environmental Science and Engineering Tongji University Shanghai200092 China Shandong Jianzhu University China Research Institute of Baoshan Iron and Steel Co China Nanjing Tianqi Advanced Oxidation Co. Ltd Nanjing210044 China School of Environmental Science and Engineering Donghua University 2999 North Renmin Road Shanghai201620 China

Polyvinyl alcohol (PVA) widely applied in various industries was difficult to degrade. Ozone (O3) combined with microbubble improving residence time and oxidation efficiency of O3, which provides a possibility of efficient degradation of PVA. In this study, PVA degradation by ozone microbubble (MB/O3) and oxygen microbubble (MB/O2) was investigated. The phenomenon that bubbles evolved into the not easily broken foam was observed for the first time. The PVA removal by MB/O3 and MB/O2 followed a first-order kinetic model, whose removal rate reached 98.58% and 48.68% in the first 20 minutes, respectively. The physicochemical reaction of PVA degradation by MB/O3 and the physical removal reaction by MB/O2 were demonstrated. The microscale changes of bubbles and foam were captured, revealing the observation of self-pressurizing dissolution of MB/O3 and the formation of larger foam by the remaining unbroken microbubbles, which eventually broke. A four-stage theory was proposed to explain PVA degradation by MB/O3, where physical separation, foam film degradation, and bubble coalescence within the foam play crucial roles. This process was demonstrated under different pH and salt concentration conditions, with a 33.2% increase in the COD removal rate when the pH was decreased from 8.69 to 3.30. Mechanism analysis further confirmed the four-stage theory, demonstrating that during the degradation of PVA, MB/O3 underwent a random cleavage process, resulting in small molecule residues containing aldehyde, carboxyl, and ester groups. The trial of MB/O3 was considered as a simple and efficient treatment method for PVA degradation compared with other PVA degradation processes. © 2023, The Authors. All rights reserved.

关键词： Ozone

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Design and Development of Big Data System for Blast Furnace ironmaking

Design and Development of Big Data System for Blast Furnace ...

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Industrial Cyber-Physical Systems (ICPS)

作者： Qifu Chen Jinhua She Min W Zhuofu Zhang Zhenhong Liao School of Future Technology China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration. Ministry of Education Wuhan China Hunan Valin Lianyuan Iron and Steel Co. Ltd. Loudi China School of Engineering Tokyo University of Technology Tokyo Japan School of Automation. China University of Geosciences Wuhan China

The process of blast furnace ironmaking is com-posed of several sub-processes. The process of blast furnace smelting is complicated and the data of each sub-process are scattered and not concentrated. The traditional working mode of subjective judgment based on manual experience is not conducive to the stable production of the blast furnace. Therefore, this paper develops a big data system for the production process of blast furnace, which is of great significance to realize the digital production and intelligent production of blast furnace. According to the system architecture of blast furnace ironmaking, this paper mainly designs and develops the data acquisition layer, data storage layer, data analysis layer and data application layer of the big data system.

关键词： Software design Data acquisition Smelting Memory Systems architecture Production User interfaces

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铁矿烧结污染物排放特征研究

铁矿烧结污染物排放特征研究

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第十六届冶金反应工程学会议

作者： YU Heng 于恒 ZHANG Chun-xia 张春霞 State Key Laboratory of Advanced Steel Process and Products Central Iron and Steel Research Institute Beijing 100081 China 东北大学材料与冶金学院辽宁沈阳110819 School of Materials and Metallurgy Northeastern University Shenyang 110004 Liaoning China 钢铁研究总院先进钢铁流程及材料国家重点实验室北京100081 State Key Laboratory of Advanced Steel Process and Products Central Iron and Steel Research Institute Beijing 100081 China 钢铁研究总院先进钢铁流程及材料国家重点实验室北京100081

本文介绍了铁矿烧结生产过程中烟尘、SO2、NOx、二噁英等污染物的产生原理和排放特征，可根据其产生原理和排放特征对烧结返回料进行源头削减，对污染物进行过程控制，并对烧结烟气污染物控制现状进行分析，提出“源头削减过程控制-末... 详细信息

本文介绍了铁矿烧结生产过程中烟尘、SO2、NOx、二噁英等污染物的产生原理和排放特征，可根据其产生原理和排放特征对烧结返回料进行源头削减，对污染物进行过程控制，并对烧结烟气污染物控制现状进行分析，提出“源头削减过程控制-末端治理”的思路对烧结污染物进行协同控制。

关键词：冶金工业铁矿烧结污染物排放特性协同控制

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Effective Throughput Optimization of SAG Milling process Based on BPNN and Genetic Algorithm

Effective Throughput Optimization of SAG Milling Process Bas...

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Industrial Cyber-Physical Systems (ICPS)

作者： Zhenhong Liao Ce Xu Wen Chen Qifu Chen Feng Wang Jinhua She School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Department of Mineral Resources Development and Utilization Changsha Research Institute of Mining and Metallurgy CO. LTD. Chagnsha China Hunan Valin Lianyuan Iron And Steel Co. Ltd. Loudi China School of Engineering Tokyo University of Technology Hachioji Tokyo Japan

Grinding is an energy-consuming process in mineral processing industry. Improving grinding processing capacity per unit power consumption is an effective means to reduce grinding production cost. In this paper, a new index for evaluating the effective processing throughput of SAG milling is proposed. The production process model is established by BP neural network (BPNN). Through combining the process mechanism and production constraints, the genetic algorithm is adopted to optimize the operating parameters of the SAG milling process to maximize the effective throughput, thus improving the grinding efficiency. The experimental results showed that through optimization of effective throughput function proposed in this paper, the SAG mill processing capacity has been increased by 4% and the operating power drawn reduced by 1.12%. It has important guiding significance for the actual production process.

关键词： Industries Power demand Neural networks Milling Throughput Minerals Materials processing

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Re. ``Discrete Representation of Non-dominated Sets in Multi-objective Linear Programming'' [European Journal of Operational Research 255 (2016) 687–698]

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European Journal of Operational Research 2017年第3期260卷 828-828页

作者： Lizhen Shao Matthias Ehrgott Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 10 0 083 China Department of Management Science Lancaster University Management School Bailrigg Lancaster LA1 4YX United Kingdom

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