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Journal articles on the topic 'COREX'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

SELEMON, LYNN D., PATRICIA S. GOLDMAN-RAKIC, and CAROL A. TAMMINGA. "Corex, III; Prefrontal Cortex." American Journal of Psychiatry 152, no. 1 (1995): 5. http://dx.doi.org/10.1176/ajp.152.1.5.

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2

Zhou, Xiao Lei, and Zhong Ning Du. "The Introduction of COREX Process Development." Advanced Materials Research 774-776 (September 2013): 1430–33. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.1430.

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The background and history of COREX smelting reduction was introduced. And the technological process was provided, including the main chemical reactions in COREX process. According to the operating state, COREX process characteristics and development direction were summarized.

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3

Vasiya, Vipulkumar, and Chandresh Solanki. "An Experimental Study on Corex (Steel) Slag Reinforced with Terrazyme Treated Clay for Improvement of Soft Soil." Trends in Sciences 19, no. 15 (2022): 5605. http://dx.doi.org/10.48048/tis.2022.5605.

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Stability and settlement problems are common for foundations constructed on soft soils. In major parts of the world, ground improvement techniques have been used to mitigate these challenges. This research aims to stabilize the soft soils using corex steel slag blended with terrazyme treated clay. The corex steel slag is an industrial waste formed during the extraction of steel from ores through the corex process. The corex slag of sand size in the form of columns have been used to improve the load-carrying capacity of the soft soils and to control the settlement. To increase the stiffness of

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4

Zhou, Xiao Lei, Zhe Shi, Gui Fang Zhang, and Zhong Ning Du. "Comparison of COREX and COSRI Process Technology Development." Applied Mechanics and Materials 678 (October 2014): 612–15. http://dx.doi.org/10.4028/www.scientific.net/amm.678.612.

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COREX and COSRI smelting reduction iron-making process could directly use coal as reductant. So it is necessary to contrast the development and technology of two kinds smelting reduction iron-making process. Due to lack of funds, COSRI smelting reduction iron-making process has not been fully developed. And the COREX has completed the transformation to the industrial production. But on the whole, COSRI has good prospects for development as COREX.

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5

Song, Jiayuan, Zeyi Jiang, Cheng Bao, and Anjun Xu. "Comparison of Energy Consumption and CO2 Emission for Three Steel Production Routes—Integrated Steel Plant Equipped with Blast Furnace, Oxygen Blast Furnace or COREX." Metals 9, no. 3 (2019): 364. http://dx.doi.org/10.3390/met9030364.

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High CO2 emissions and energy consumption have greatly restricted the development of China’s iron and steel industry. Two alternative ironmaking processes, top gas recycling-oxygen blast furnace (TGR-OBF) and COREX®, can reduce CO2 emissions and coking coal consumption in the steel industry when compared with a conventional blast furnace (BF). To obtain parameters on the material flow of these processes, two static process models for TGR-OBF and COREX were established. Combining the operating data from the Jingtang steel plant with established static process models, this research presents a de

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6

Li, Haifeng, Zongshu Zou, Zhiguo Luo, Lei Shao, and Wenhui Liu. "Model Study on Burden Distribution in COREX Melter Gasifier." Processes 7, no. 12 (2019): 892. http://dx.doi.org/10.3390/pr7120892.

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COREX is one of the commercialized smelting reduction ironmaking processes. It mainly includes two reactors, i.e., a (reduction) shaft furnace (SF) and a melter gasifier (MG). In comparison with the conventional blast furnace (BF), the COREX MG is not only equipped with a more complicated top charging system consisting of one gimbal distributor for coal and eight flap distributors for direct reduction iron (DRI), but also the growth mechanism of its burden pile is in a developing phase, rather than that in a fully-developed phase in a BF. Since the distribution of charged burden plays a crucia

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7

Zhou, Xiao Lei, and Zhong Ning Du. "Influence of Collapse Phenomenon on Unburned Pulverized Coal in the Lumpy Zone of COREX Melter Gasifier." Advanced Materials Research 774-776 (September 2013): 1434–37. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.1434.

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A thermal model was established for the study about influence of collapse phenomenon on unburned pulverized coal in COREX melter gasifier. In the model, the ore was simulated by wax, the coke and lump coal were simulated by maize, UPC is simulated by pulverized coal. The results showed that too high blast temperature could lead to collapse in the model, and under normal or collapsing furnace state, UPC is dispersed or aggregated distribution in packed bed. According to this experimental results and the previous research results, the suggestions about COREX were given at last. Keywords: COREX m

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8

Assis, P. S., L. Guo, J. Fang, T. R. Mankhand, and C. F. C. de Assis. "Optimisation of COREX process." Ironmaking & Steelmaking 35, no. 4 (2008): 303–7. http://dx.doi.org/10.1179/174328108x269478.

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9

Fang, J. "Optimization of COREX process." Fuel and Energy Abstracts 37, no. 3 (1996): 212. http://dx.doi.org/10.1016/0140-6701(96)88969-7.

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10

Zhao, Chen Xi, Qun Zhang, Jin Wu Xu, Min Li, and Jian Hong Yang. "The Prediction Model of COREX Cold Gas Content of Carbon Dioxide Based on MOSC-PLS." Advanced Materials Research 339 (September 2011): 420–25. http://dx.doi.org/10.4028/www.scientific.net/amr.339.420.

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In COREX processes, the cold gas is produced in melter gasifier, after being cooled and dust controlled, blown into the blast furnace and used in the reduction reaction. The cold gas content plays a key role in the reaction of lump ore and pellets reduction. A prediction model of COREX cold gas content of carbon dioxide is proposed based on modified orthogonal signal correction partial least squares algorithm (MOSC-PLS). Firstly, the input and output variables of the model are selected according to the COREX processes principle. Secondly, MOSC algorithm is used to preprocess the data, in order

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11

Zhu, Deqing, Jianlei Chou, Benjing Shi, and Jian Pan. "Influence of MgO on Low Temperature Reduction and Mineralogical Changes of Sinter in Simulated COREX Shaft Furnace Reducing Conditions." Minerals 9, no. 5 (2019): 272. http://dx.doi.org/10.3390/min9050272.

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COREX (Coal-Reduction-Extreme) smelting reduction process provides a sustainable developing way for ironmaking industry, but the sources of iron ore materials restrict its development in China. Meanwhile, the application of sinter, which is marked by low manufacture cost and overcapacity in China, to COREX furnace faced proportion limitation due to its worse low temperature reduction degradation performance. This work explored the influence of MgO content on the low-temperature (550 °C) reduction of sinter in reducing conditions simulating COREX shaft furnace. The mineralogical change of sinte

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12

Zhou, Heng, Yifan Hu, Bingjie Wen, Shengli Wu, Mingyin Kou, and Yiwa Luo. "BP neural network prediction for Si and S contents in hot metal of COREX process based on mathematical analysis and Deng’s correlation." Metallurgical Research & Technology 118, no. 5 (2021): 514. http://dx.doi.org/10.1051/metal/2021073.

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In COREX operation, the Si and S contents in hot metal are relatively high and easy-fluctuating, which is one of the problems affecting the practical operation. Accurate predictions of Si and S contents can provide theoretical references for stabilizing the fluctuations and decreasing the contents of Si and S in hot metal. Therefore, the present work established the prediction model of Si and S contents in hot metal in COREX based on BP neural network. The results show that the root-mean-square errors between the predicted value and actual value for Si and S are 0.098 and 0.0037, respectively.

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13

Gallagher, Ryan J., Kyle Reing, David Kale, and Greg Ver Steeg. "Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge." Transactions of the Association for Computational Linguistics 5 (December 2017): 529–42. http://dx.doi.org/10.1162/tacl_a_00078.

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While generative models such as Latent Dirichlet Allocation (LDA) have proven fruitful in topic modeling, they often require detailed assumptions and careful specification of hyperparameters. Such model complexity issues only compound when trying to generalize generative models to incorporate human input. We introduce Correlation Explanation (CorEx), an alternative approach to topic modeling that does not assume an underlying generative model, and instead learns maximally informative topics through an information-theoretic framework. This framework naturally generalizes to hierarchical and sem

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14

Pan, Gang, Xun Liang Liu, and Zhi Wen. "Numerical Simulation of Gas Flow Field in the Moving Bed of Corex Melter-Gasifier." Advanced Materials Research 228-229 (April 2011): 930–36. http://dx.doi.org/10.4028/www.scientific.net/amr.228-229.930.

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The Corex process, which consists of the upper reduction shaft and the melter-gasifier is an alternative ironmaking process to the blast furnace. The Corex melter-gasifier is a countercurrent reactor to produce liquid iron. Directly reduced iron(DRI), noncoking coal, and other additives are charged to the melter-gasifier at their respective temperature, and O2 is blown through the tuyeres. Moving bed of melter-gasifier is an important zone for reduction of iron oxide and melting of DRI, in which lump coal is a function as skeleton of moving bed replacing coke. A two-dimensional mathematical mo

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15

Shi, Benjing, Deqing Zhu, Jian Pan, and Zhaocai Wang. "Research on the Preparation of Sinter for COREX Reduction Process by Varying Basicity and MgO Content." Minerals 12, no. 2 (2022): 207. http://dx.doi.org/10.3390/min12020207.

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Sinter has been introduced into the composite burden of the COREX ironmaking process in China to lower the material cost, but the proportion is limited due to its poor low-temperature reduction degradation performance in the shaft furnace. This work dealt with the preparation of sinter for the COREX process by varying the MgO content and basicity. Their effects on the sintering and reduction properties under reducing condition simulating COREX shaft furnace were investigated, and the changes in the mineralogy of sinter with different MgO content and basicity were explored. The results showed t

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16

Sun, Ye, Zhan Xia Di, Hai Feng Li, Zhi Guo Luo, and Zong Shu Zou. "Numerical Simulation of Temperature in the Freeboard of COREX Melting Gasifier." Advanced Materials Research 284-286 (July 2011): 1165–69. http://dx.doi.org/10.4028/www.scientific.net/amr.284-286.1165.

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The freeboard, which is an important region in COREX melter gasifier, has drawn more and more attentions, and as a key parameter for COREX melter gasifier operation, the temperature in freeboard must be within a certain range. In this paper, the temperature field of freeboard is simulated with computational fluid dynamics(CFD). The results show that the temperature in bottom is lower than that in upper. The temperature when oxygen nozzles are open is higher than that when oxygen nozzles are off, and the temperature under different operation conditions is all about 1000 °C.

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17

Sun, Ye, Ren Chen, Zuoliang Zhang, et al. "Numerical Simulation of the Raceway Zone in Melter Gasifier of COREX Process." Processes 7, no. 12 (2019): 867. http://dx.doi.org/10.3390/pr7120867.

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The physical and chemical processes in the raceway zone of the COREX melter–gasifier express are similar to those inside the blast furnace. Based on the research achievements on blast furnaces, the unsteady numerical simulation of a gas-solid two-phase in the raceway was carried out by using computational fluid software. The formation process of the raceway in the COREX melter–gasifier was simulated. The shape and size of the raceway were obtained. Then, the effect of gas flow on the depth and height of the raceway was analyzed in this paper.

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18

Barman, S. C., P. Prachethan Kumar, L. Uddar, P. C. Mahapatra, V. R. Sekhar, and M. Ranjan. "Tuyere failure analysis in Corex process." Ironmaking & Steelmaking 37, no. 2 (2010): 98–102. http://dx.doi.org/10.1179/030192309x12549935902220.

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19

Wang, Xing Juan, Ran Liu, and Jue Fang. "Experimental Study on Sticking Behavior of Fluidized Bed in Reduction Process." Advanced Materials Research 482-484 (February 2012): 1354–57. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.1354.

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It is a good way that the fluidized bed is used as a substitute for reduction shaft in Corex process. Which can reduce energy consumption, environmental pollution and construction costs further, and also improve the competitiveness of Corex and blast furnace. At present, the sticking problem is present in iron ore reduction process and interrupts the reduction process, it has become a major obstacle on the development of fluidized bed. In this paper, a visualization hot model of fluidized bed is introduced. The influence factors on sticking behavior were analyzed from reduction temperature, ga

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20

Zhou, Kai, Jun Wang, Baabak Ashuri, and Jianli Chen. "Discovering the Research Topics on Construction Safety and Health Using Semi-Supervised Topic Modeling." Buildings 13, no. 5 (2023): 1169. http://dx.doi.org/10.3390/buildings13051169.

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Safety and health have been one of the major issues in the construction industry worldwide for decades, and the relevant research has correspondingly drawn much attention in the academic field. Considering the expanding size and increasing heterogeneity of this research field, this paper proposes the topic modeling approach to cluster latent topics, extract coherent keywords, and discover evolving trends over the past three decades. Focusing on a total of 1984 articles published in 27 different journal sources until February 2023, this paper applied both unsupervised topic modeling techniques—

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21

Zhou, Heng, Zhi Guo Luo, Tao Zhang, et al. "3D Numerical Simulation of the Influence of AGD Beams on Gas Distribution in COREX-3000 Shaft Furnace." Advanced Materials Research 712-715 (June 2013): 1268–73. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.1268.

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A three-dimensional mathematical model is developed to describe the influence of AGD beams on gas distribution in COREX-3000 shaft furnace. The calculated result shows that with AGD beams installed, the pressure drop in furnace is decreased while the volume of low velocity zone at bottom of furnace is enlarged. AGD channels can lead reduction gas into shaft center, and increase the gas velocity at slots level, but it have little effect on gas distribution at upper part of the furnace. AGD beams are also good at restraining down pipe gas, and the volume fraction of down pipe gas declines from 9

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22

Kumar, P. Prachethan, D. Gupta, T. K. Naha, and S. S. Gupta. "Factors affecting fuel rate in Corex process." Ironmaking & Steelmaking 33, no. 4 (2006): 293–98. http://dx.doi.org/10.1179/174328106x101493.

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23

Qu, Yingxia, Zongshu Zou, and Yanping Xiao. "A Comprehensive Static Model for COREX Process." ISIJ International 52, no. 12 (2012): 2186–93. http://dx.doi.org/10.2355/isijinternational.52.2186.

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24

Srishilan, C., and Ajay Kumar Shukla. "Static Thermochemical Model of COREX Melter Gasifier." Metallurgical and Materials Transactions B 49, no. 1 (2017): 388–98. http://dx.doi.org/10.1007/s11663-017-1147-x.

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25

Zhao, Chen Xi, Jin Wu Xu, Min Li, and Jian Hong Yang. "Time Delay Estimation on COREX Parameters Based on Dynamic Time Warping Method." Applied Mechanics and Materials 241-244 (December 2012): 1168–75. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.1168.

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In order to solve the time delay problem between the process parameters and the quality indicators in the modeling processes, a method of time delay estimation on COREX parameters is proposed based on Dynamic Time Warping (DTW) algorithm. The method solves the problem existing in the conventional methods which demand the number of calculating sample to be same. Taking the real field data from Baosteel COREX-3000 as the research object, the DTW distances between the process parameters and the quality indicators are calculated, and then the delay time is estimated. The real field data are used f

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26

Рыбин, Александр Иванович. "Ортогональное экспоненциальное преобразование REX". Известия высших учебных заведений. Радиоэлектроника 47, № 2 (2004): 3–9. http://dx.doi.org/10.20535/s0021347004020013.

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Предложено новое ортогональное преобразование REX с действительным ядром на базе кусочно-экспоненциальных функций, дифференцируемых на неразрывных участках, а также связанное с ним преобразование CoREX. Показаны пути модификаций предложенных преобразований для их подстройки под анализируемый сигнал.

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27

Manjunatha, Mulimani. "Study and Implementation of Automation in Corex Plant." International Journal for Research in Applied Science and Engineering Technology 6, no. 5 (2018): 2528–36. http://dx.doi.org/10.22214/ijraset.2018.5413.

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28

Zhou, X., Z. Shi, G. Zhang, Y. Ding, and X. Yang. "Operating line for COREX smelting reduction ironmaking process." Materials Research Innovations 19, sup8 (2015): S8–99—S8–101. http://dx.doi.org/10.1179/1432891715z.0000000001630.

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29

Urbaniak, Lech. "Morphometric differentiation of Corex ligerica Gay in Poland." Acta Societatis Botanicorum Poloniae 67, no. 3-4 (2014): 263–68. http://dx.doi.org/10.5586/asbp.1998.034.

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The experimental material involved 7 <em>Carex ligerica</em> Gay populations which were cultured in standardised conditions in a greenhouse before their spikes were collected for morphological studies. Four characters reflecting size of male and female glumes, selected from particular spikes were examined. Mahalanobis distances for each pair of populations were calculated and their significance was estimated using Hotellings T<sup>2</sup> statistics. Dendrite was constructed on the basis of shortest Mahalanobis distances while Euclidean distances provided grounds for hi

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30

Eberle, A., D. Siuka, C. Böhm, and W. Schiffer. "Current status of COREX technology and recent developments." Revue de Métallurgie 100, no. 3 (2003): 297–306. http://dx.doi.org/10.1051/metal:2003178.

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31

Kadrolkar, Ameya, S. K. Roy, and P. K. Sen. "Minimization of Exergy Losses in the COREX Process." Metallurgical and Materials Transactions B 43, no. 1 (2011): 173–85. http://dx.doi.org/10.1007/s11663-011-9586-2.

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32

Wang, Xiaoge, Pengcheng Li, Huili Sun, and Shitao Song. "Research on corrosion mechanism of refractory lining in drip zone of COREX melting gasifier." Metallurgical Research & Technology 118, no. 3 (2021): 312. http://dx.doi.org/10.1051/metal/2021032.

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In this paper, the COREX-3000 melting gasifier was dissected and sampled to obtain the macroscopic erosion appearance of refractories lining in the drip zone, and the erosion behavior and mechanism of refractory bricks in the drip zone were analyzed by means of chemical analysis, XRD, SEM and determination of physical characteristics. The results showed that the maximum average erosion of refractory lining bricks in the drip zone was 220 mm and the erosion rate was up to 69%. Its surface was mainly affected by slag erosion and mechanical scour of slag, but at high temperature, the surface of r

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33

Li, Qiang, Greg Ver Steeg, Shujian Yu, and Jesus Malo. "Functional Connectome of the Human Brain with Total Correlation." Entropy 24, no. 12 (2022): 1725. http://dx.doi.org/10.3390/e24121725.

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Recent studies proposed the use of Total Correlation to describe functional connectivity among brain regions as a multivariate alternative to conventional pairwise measures such as correlation or mutual information. In this work, we build on this idea to infer a large-scale (whole-brain) connectivity network based on Total Correlation and show the possibility of using this kind of network as biomarkers of brain alterations. In particular, this work uses Correlation Explanation (CorEx) to estimate Total Correlation. First, we prove that CorEx estimates of Total Correlation and clustering result

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34

Xu, Runsheng, Jianliang Zhang, Wei Wang, et al. "Evolutional behavior of carbonaceous material during dissolution in molten iron of COREX." Metallurgical Research & Technology 115, no. 4 (2018): 418. http://dx.doi.org/10.1051/metal/2018020.

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The dissolution behaviours of lumpy coal and coke used in COREX gasifier in molten iron were investigated. The time-dependent interfacial reaction products were observed and the microcrystalline structures of solid fuels were identified. The results showed that the rate of carbon dissolution in molten iron using lumpy coal was significantly less than that when the coke was used. The ordered carbon microcrystalline at the reaction interface would be a priority to dissolve. The interface thickness of the eroded coke was larger than that of coal char due to the uneven microtexture distribution an

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35

Xue, Wen Dong, Xiao Xiao Huang, Jing Xie, and Xing Da Cui. "Effect of Refractory᾽s Thermal Conductivity on the Thermal Stress Field of the COREX Gasifier Top." Advanced Materials Research 418-420 (December 2011): 800–803. http://dx.doi.org/10.4028/www.scientific.net/amr.418-420.800.

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The top of COREX-3000 gasifier was numerical simulated and investigated the relationship between thermal conductivity and the thermal-stress field. It is concluded that when the thermal conductivity of the working lining and permanent lining is respectively 0.95W / (m•K) and 0.5 W / (m•K), the change rate of the top stress along radical direction is minimum.

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36

Sun, Ye, Guo Xi Wu, Ren Chen, Li Na Sun, and Li Hao Han. "Study on Cohesive Zones in COREX Melter Gasifier Using Hot Model." Applied Mechanics and Materials 268-270 (December 2012): 952–57. http://dx.doi.org/10.4028/www.scientific.net/amm.268-270.952.

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A hot model is established to study the cohesive zone of COREX melter gasifier in this paper., in this experiment, the paraffin and corn are used to simulate DRI, coke and lump coal respectively, the influences of ore/coke volume ratio, raceway gas temperature and raceway gas volume on the cohesive zone are analyzed using image processing method.

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37

Di, Zhan Xia, Li Hao Han, Zhi Guo Luo, and Zong Shu Zou. "Cold Model Study of Raceway in COREX Melter Gasifier." Advanced Materials Research 194-196 (February 2011): 301–5. http://dx.doi.org/10.4028/www.scientific.net/amr.194-196.301.

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In this paper, the method of cold model is applied to study raceway in COREX Melter-Gasifier drawing on the experience of raceway in blast furnace. The influence factors, blasting volume, charging rate which simulates coke consumption, bed packing height have been considered. The results show that the shape of raceway is ellipsoidal and blasting volume, charging rate, bed packing height have effect on raceway. The raceway penetration depth and raceway height expand with increasing blasting volume and charging rate. However, the size of raceway decreases with increasing bed packing height.

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38

Ying, Wei Feng, Ye Sun, Zhi Guo Luo, and Zong Shu Zou. "Numerical Simulation of Gas Distribution in COREX Shaft Furnace." Advanced Materials Research 287-290 (July 2011): 827–30. http://dx.doi.org/10.4028/www.scientific.net/amr.287-290.827.

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Pre-reduction shaft furnace is a typical gas solid countercurrent reactor, in which complex transport phenomenon exists between gas-solid phases. In the present paper, a mathematical model has been developed to simulate the actual pressure field of the shaft furnace, the gas flow field and the distribution of gas flow backwards. The simulation results of the pressure field indicate that the pressure is distributed uniformly at the same height in the furnace. The results of gas flow field indicate that the velocity of gas flow near the side wall is larger than that in the inner part, and a gas

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39

Zhou, X., Z. Shi, G. Zhang, Y. Ding, and X. Yang. "Temperature and the image analysis of COREX melting gasifier." Materials Research Innovations 19, sup8 (2015): S8–195—S8–197. http://dx.doi.org/10.1179/1432891715z.0000000001856.

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40

Wang, Qi, Jianliang Zhang, Guangwei Wang, and Haiyang Wang. "Simulation study of dust combustion in COREX gasifier dome." Ironmaking & Steelmaking 47, no. 4 (2018): 344–50. http://dx.doi.org/10.1080/03019233.2018.1514092.

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41

Prachethan Kumar, P., L. M. Garg, and S. S. Gupta. "Modelling of Corex process for optimisation of operational parameters." Ironmaking & Steelmaking 33, no. 1 (2006): 29–33. http://dx.doi.org/10.1179/174328106x80037.

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42

Liu, Lingling, Shibo Kuang, Baoyu Guo, and Aibing Yu. "Injection of COREX off-gas into ironmaking blast furnace." Fuel 334 (February 2023): 126688. http://dx.doi.org/10.1016/j.fuel.2022.126688.

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43

Cui, Xin, Xinxin Zhang, Mu Yang, Yanhui Feng, Hongyi Gao, and Wenbo Luo. "Study on the structure and reactivity of COREX coal." Journal of Thermal Analysis and Calorimetry 113, no. 2 (2012): 693–701. http://dx.doi.org/10.1007/s10973-012-2782-8.

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44

Wang, Nan, Xuemei Xie, Zongshu Zou, Li Guo, Wanren Xu, and Yusheng Zhou. "Analysis of Material and Energy Consumption of Corex C3000." steel research international 79, no. 7 (2008): 547–52. http://dx.doi.org/10.1002/srin.200806165.

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45

Pan, Gang, Xun Liang Liu, Gan Wang, and Zhi Wen. "Numerical Simulation of Heat and Mass Transfer of Lump Coal Falling in the Freeboard Zone of COREX Melter-Gasifier." Advanced Materials Research 455-456 (January 2012): 74–79. http://dx.doi.org/10.4028/www.scientific.net/amr.455-456.74.

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. A one-dimensional mathematical model was developed for describing heat and mass transfer process of lump coal falling in the freeboard zone of COREX melter-gasifier. The temperature distribution, law of moisture evaporation and removal of volatile of lump coal were obtained. Further more, the effects of operating parameters on heat and mass transfer phenomena of lump coal were studied.

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46

Zhou, Xiao Lei, Zhi Guo Luo, Li Hao Han, Zong Shu Zou, and Ai Bing Yu. "Study on the COREX Melter Gasifier Zones Using Temperature Gradient." Advanced Materials Research 284-286 (July 2011): 1184–90. http://dx.doi.org/10.4028/www.scientific.net/amr.284-286.1184.

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A physical thermal model was established in this study, and the gas temperature in the model was measured with temperature sensors under different experimental conditions. The results show that the packed bed, cohesive zone, dripping zone and raceway in melter gasifier can be roughly distinguished by temperature gradient analysis along the vertical direction. The changes of different zones in the COREX melter gasifier were also investigated in this paper under different operation conditions.

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Zhang, Xingsheng, Zhiguo Luo, and Zongshu Zou. "Performance simulation and optimization of COREX shaft furnace with central gas distribution." Metallurgical Research & Technology 116, no. 1 (2018): 112. http://dx.doi.org/10.1051/metal/2018050.

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To improve the distribution of the reducing gas inside the shaft furnace, recently, a central gas distribution (CGD) device is installed at the bottom of the shaft furnace in Bayi Steel. In this work, a two-dimensional steady-state mathematical model, including momentum, heat and mass transfers and chemical reaction, is developed to study the performance of the furnace with CGD. The model is validated by industrial production data of COREX-3000, and then it is used to study the detailed phenomena in the furnace with CGD. The results show that, compared with the traditional COREX shaft furnace

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Luo, Zhi Guo, Zhan Xia Di, Zong Shu Zou, and Ren Chen. "Fractal Analysis of Raceway Boundary in COREX Melter Gasifier Model." Advanced Materials Research 194-196 (February 2011): 38–43. http://dx.doi.org/10.4028/www.scientific.net/amr.194-196.38.

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The raceway boundary is coarse and fragmentized, but all of previous studies are based on Euclidean geometry, which regard the dimension of raceway as an integer. In this paper, particle velocity contour has been developed to define the raceway boundary. The fractal method of calculating raceway size, which describe boundary with extremely un-regular or fragment characteristic, is brought forward in physical model. The result shows that the precise raceway boundary can be obtained by particle velocity contour, and the surface area of ellipsoidal raceway based on fractal is larger than that bas

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Kyu Park, Seong, Woo Sik Jung, Jeong Guk Song, Koo Sam Kim, and Han Sul Lee. "COREX PILOT APPLICATION STUDY FOR A VIRTUAL PLANT SEISMIC PRA." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2019.27 (2019): 1949. http://dx.doi.org/10.1299/jsmeicone.2019.27.1949.

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Kumar, Prachethan P., S. C. Barman, B. M. Reddy, and V. R. Sekhar. "Raw materials for Corex and their influence on furnace performance." Ironmaking & Steelmaking 36, no. 2 (2009): 87–90. http://dx.doi.org/10.1179/174328108x378152.

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