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Li X.-Y.,University of Science and Technology Beijing | Su B.-X.,China Metallurgical Industry Planning and Research Institute | Xia L.-G.,University of Science and Technology Beijing | Zhang J.-L.,University of Science and Technology Beijing | Guo H.-W.,Soochow University of China
Journal of Iron and Steel Research International

Under the pressures of both the decrease of high-grade high-quality iron ore resources and the increase of raw material costs, the iron and steel enterprises in China turn to adopt iron ores which contain special elements such as nickel, manganese, etc. in the sintering blend. Analytical reagents were used for sintering experiments, and the sinters were analyzed with X-ray diffraction, scanning electron microscopy and mineralogical microscopy to study the effect of nickel on the silico-ferrite of calcium and aluminum (SFCA) bonding phase formation during sintering. The results indicated that SFCA was divided into nickel-containing and nickel-free areas due to the presence of nickel. The increasing content of nickel would greatly reduce the content of SFCA and promote the formation of calcium aluminum silicate. A great deal of Fe2O3 participated in the crystal transition to Fe3O4, reducing the amount of Fe2O3 involved in the formation of calcium ferrite. When the blending ratio of NiO, which is used to provide the nickel in the sintering process, is less than 3%, the calcium ferrite is in substantially interleaving corrosion with hematite and magnetite. Both the porosity and silicate glass phase content are low, which contributes to the sintering production. © 2015 Central Iron and Steel Research Institute. Source

Zhao H.-B.,University of Science and Technology Beijing | Bai Y.-Q.,China Metallurgical Industry Planning and Research Institute | Cheng S.-S.,University of Science and Technology Beijing
Journal of Iron and Steel Research International

Reasonable control on CRI (coke reaction index) is one of the key factors for BF (blast furnace) low-carbon smelting. However, there are contrary opinions. One is increasing CRI to improve reaction efficiency in BF and the other is decreasing CRI to suppress coke degradation in furnace. Different methods are adopted to realize effective catalysis (increasing CRI) and passivation (decreasing CRI) of coke. Simulation tests of coke in BF lumpy zone under gradual temperature rising have been done. Effect of CRI on gas composition, ore reduction, burden column permeability and heat reserve zone's temperature under non-isothermal condition are studied. Then combined with iron making calculations, a novel BF operation suggestion is proposed as coke nut with small size be catalyzed and mixed with ore while skeletal coke with large size be passivated and separately charged into BF. © 2013 Central Iron and Steel Research Institute. Source

Guo H.,Soochow University of China | Su B.,China Metallurgical Industry Planning and Research Institute | Bai Z.,University of Science and Technology Beijing | Zhang J.,University of Science and Technology Beijing | Li X.,University of Science and Technology Beijing

The traditional artificial recognition methods for the blast furnace dust composition have several disadvantages, including a great deal of information to dispose, complex operation, and low working efficiency. In this article, a multifeature analysis method based on comprehensive image-processing techniques was proposed to automatically recognize the blast furnace dust composition. First, the artificial recognition and feature analysis, which included image preprocessing, Harris corner feature, Canny edge feature, and Ruffle feature analysis, was designed to build the template image, so that any unknown dust digital image could be tested. Second, the composition of coke, microvariation pulverized coal, vitric, ash, and iron from dust would be distinguished according to their different range of values based on the multifeature analysis. The method is valid for recognizing the blast furnace dust composition automatically, and it is fast and has a high recognition accuracy. © 2014, The Minerals, Metals & Materials Society. Source

Shen L.-J.,China Society of Engineering Blasting | Shen L.-J.,China Metallurgical Industry Planning and Research Institute | Ma A.-E.,China Aerospace Science and Technology Corporation | Wang X.-G.,China Society of Engineering Blasting | And 2 more authors.
Hanneng Cailiao/Chinese Journal of Energetic Materials

To analyze and compare the thermal stability of commercial ammonium nitrate (AN) and homemade non-explosive and irrestorable fertilizer-grade ammonium nitrate (NEIFAN), the crystal transformation changes, thermal decomposition characteristics and adiabatic decomposition processes of AN and NEIFAN were studied by thermogravimetry(TG)-differential thermal analysic(DTA)-derivative thermogravimetry(DTG), differential scanning calorimetry (DSC) and accelerating rate calorimetry (ARC). The curves of thermal decomposition temperature and pressure vs time, self-heating rate and pressure vs temperature for AN and NEIFAN under the adiabatic decompositions condition were obtained. The kinetic parameters(apparent activation energy and pre-exponential factor)of pseudo zero order adiabatic decomposition reaction for AN and NEIFAN were calculated. The results show that in comparison with AN, the crystal transformation peak at about 88℃ of NEIFAN disappears, revealing that NEIFAN has better thermal physical stability. The decomposition peak temperature of NEIFAN obtained by TA-DTA-DTG and DSC curves and the apparent activation energy of the pseudo zero order adiabatic decomposition reaction of NEIFAN obtained by ARC data are much higher than those of AN, indicating that NEIFAN has a higher heat-resistance ability than AN. Considering that the increase of physicochemical stability of NEIFAN is attributed to the joint action of inorganic and organic additives in NEIFAN. Source

Liu X.,Japan Building Research Institute | Gao X.,China Metallurgical Industry Planning and Research Institute
Journal of Cleaner Production

This study estimates how carbon price affects diffusion of low carbon technologies using data collected from 60 iron & steel companies in China. The analysis indicates that the industry is familiar with related key energy saving and low carbon technologies and has made much progress in energy saving, but efforts in carbon management need improving. An average payback time threshold of 4.1 years was found as regards decision in invest in technology. The three target technologies were adopted by companies to different extents. Carbon emissions pricing was found to be ineffective in promoting the scale-up or further adoption of economically advantageous technologies such as dry top pressure recovery turbine (Dry TRT) and energy management centre (EMC) technology. A moderate carbon price for sintering waste heat recovery power generation (Sintering WHR), which has adoption potential in China's iron & steel industry, may generate comparatively significant effects for diffusion. This research sheds light on how diffusion of low carbon technologies would be affected and the consequences thereof on climate policy development for the target sector in China. © 2016 Elsevier Ltd. All rights reserved. Source

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