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Sulfidation roasting of lead and zinc carbonate with sulphur by temperature gradient method 被引量:6
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作者 郑永兴 刘维 +4 位作者 覃文庆 焦芬 韩俊伟 杨康 罗虹霖 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第5期1635-1642,共8页
In order to enhance the lead and zinc recovery from the refractory Pb-Zn oxide ore, a new technology was developed based on sulfidation roasting with sulphur by temperature gradient method. The solid-liquid reaction s... In order to enhance the lead and zinc recovery from the refractory Pb-Zn oxide ore, a new technology was developed based on sulfidation roasting with sulphur by temperature gradient method. The solid-liquid reaction system was established and the sulfidation thermodynamics of lead and zinc carbonate was calculated with the software HSC 5.0. The effects of roasting temperature,molar ratio of sulphur to lead and zinc carbonate and reaction time in the first step roasting, and holding temperature and time in the second roasting on the sulfidation extent were studied at a laboratory-scale. The experimental results show that the sulfidation extents of lead and zinc are 96.50% and 97.29% under the optimal conditions, respectively, and the artificial galena, sphalerite and wurtzite were formed. By the novel sulfidizing process, it is expected that the sulphides can be recovered by conventional flotation technology. 展开更多
关键词 lead and zinc carbonate SULPHUR ROASTING temperature gradient PYROMETALLURGY
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Size distribution and source of heavy metals in particulate matter on the lead and zinc smelting affected area 被引量:11
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作者 Kai Zhang Fahe Chai +4 位作者 Zilong Zheng Qing Yang Xuecai Zhong Khanneh Wadinga Fomba Guangzhu Zhou 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2018年第9期188-196,共9页
In order to understand the size distribution and the main kind of heavy metals in particulate matter on the lead and zinc smelting affected area, particulate matter (PM) and the source samples were collected in Zhuz... In order to understand the size distribution and the main kind of heavy metals in particulate matter on the lead and zinc smelting affected area, particulate matter (PM) and the source samples were collected in Zhuzhou, Hunan Province from December 2011 to January 2012 and the results were discussed and interpreted. Atmospheric particles were collected with different sizes by a cascade impactor. The concentrations of heavy metals in atmospheric particles of different sizes, collected from the air and from factories, were measured using an inductively coupled plasma mass spectrometry (ICP-MS). The results indicated that the average concentration of PM, chromium (Cr), arsenic (As), cadmium (Cd) and lead (Pb) in PM was 177.3 ± 33.2 μg/m^3, 37.3 ± 8.8 ng/m^3, 17.3 ± 8.1 ng/m^3, 4.8 ± 3.1 ng/m^3 and 141.6 ± 49.1 ng/m^3, respectively. The size distribution of PM displayed a bimodal distribution; the maximum PM size distribution was at 1.1-2.1 μm, followed by 9-10 μm. The size distribution of As, cd and Pb in PM was similar to the distribution of the PM mass, with peaks observed at the range of 1.1-2.1 μm and 9-10 μm ranges while for Cr, only a single-mode at 4.7-5.8 μm was observed. PM (64.7%, As (72.5%), cd (72.2%) and Pb (75.8%) were associated with the fine mode below 2.1 μm, respectively, while Cr (46.6%) was associated with the coarse mode. The size distribution characteristics, enrichment factor, correlation coefficient values, source information and the analysis of source samples showed that As, Cd and Pb in PM were the typical heavy metal in lead and zinc smelting affected areas, which originated mainly from lead and zinc smelting sources. 展开更多
关键词 Atmospheric particulate matter Size distribution Heavy metals Pollution characteristics lead and zinc smelting
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Order of sphalerite and galena precipitation: A case study from lead-zinc deposits in southwest China 被引量:2
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作者 ZHANG Yan HAN Run-sheng WEI Ping-tang 《Journal of Central South University》 SCIE EI CAS CSCD 2020年第1期288-310,共23页
Most of the lead and zinc deposits in Southwest China, are characterized by mineral zoning, which is especially true for the Huize and Zhaotong deposits. The mineral assemblage zoning is consistent for both horizontal... Most of the lead and zinc deposits in Southwest China, are characterized by mineral zoning, which is especially true for the Huize and Zhaotong deposits. The mineral assemblage zoning is consistent for both horizontal and vertical zoning, from the base(center) of the ore body to the top(outermost), the mineral zones are as follows. I-1: coarse-grained pyrite and a little puce sphalerite;I-2: brown sphalerite, galena, and ferro-dolomite;I-3: galena, sandy beige and pale yellow sphalerite, and calcite;and I-4: fine-grained pyrite, dolomite, and calcite. Among them, sphalerite is the landmark mineral of different zoning. From I-1 to I-3, the color of sphalerite changes from dark to light, its crystalline size changes from coarse to fine, and its structure changes from disseminated to veinlet. This mineral zoning is seen not only on a microscopic scale, but is also clear on a mesoscopic and macroscopic scale. It is caused by the order of the sphalerite and galena precipitation. We studied the metallic minerals and fluid inclusions using a thermodynamic phase diagram method, such as lgfO2–lgfS2, pH–lgfO2, pH–lg[Pb^2+] and pH–lg[HS^-], discussed the constraints on the order of the sphalerite and galena precipitation in the migration and precipitation process of lead and zinc under different pH values, oxygen fugacity, sulfur fugacity, and ionic activity. We also explain the formation mechanism and propose that the main controlling factor of the order of the sphalerite and galena precipitation is sulfur fugacity. 展开更多
关键词 precipitation order thermodynamic phase diagram mineral zoning lead and zinc deposit southwest of China
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NWME Group Embraces New Development Opportunities of Lead and Zinc Industry Segment
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《China Nonferrous Metals Monthly》 2018年第7期3-4,共2页
Recently,NWME Group Co.,Ltd.,affiliated to Shaanxi Non-ferrous Metals Holding Group Co.,Ltd.,held the special promotion meeting for the reform and reorganization of lead and zinc industry segment at NWME Erlihe Lead a... Recently,NWME Group Co.,Ltd.,affiliated to Shaanxi Non-ferrous Metals Holding Group Co.,Ltd.,held the special promotion meeting for the reform and reorganization of lead and zinc industry segment at NWME Erlihe Lead and Zinc Mine in Baoji City.Themed“reorganizing lead and zinc industry segment, 展开更多
关键词 CO NWME Group Embraces New Development Opportunities of lead and zinc Industry Segment IPO
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甘肃成县庙沟—大沙湾铅锌矿区成矿地质特征及找矿方向 被引量:3
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作者 沈利霞 胡建勇 +3 位作者 张瑞华 张连营 金文强 李宗谨 《地质找矿论丛》 CAS CSCD 2015年第1期92-97,共6页
甘肃成县庙沟—大沙湾铅锌矿区位于西秦岭多金属成矿带西段的西成铅锌矿田内,矿区的铅锌矿化受安家岔组条带状大理岩化灰岩和条带状大理岩的控制,喷流沉积(成岩)作用是成矿的主要因素,为喷流沉积的SEDEX型矿床,同生沉积特征明显,具热水... 甘肃成县庙沟—大沙湾铅锌矿区位于西秦岭多金属成矿带西段的西成铅锌矿田内,矿区的铅锌矿化受安家岔组条带状大理岩化灰岩和条带状大理岩的控制,喷流沉积(成岩)作用是成矿的主要因素,为喷流沉积的SEDEX型矿床,同生沉积特征明显,具热水沉积特征,发育有硫化物岩、重晶石岩、硅质岩等。预测靶区为马蹄沟一带近EW向岩相突变带。 展开更多
关键词 庙沟—大沙湾铅锌矿 找矿方向 喷流沉积(SEDEX)型 甘肃省
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Prediction model for permeability index by integrating case-based reasoning with adaptive particle swarm optimization
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作者 朱红求 《High Technology Letters》 EI CAS 2009年第3期267-271,共5页
To effectively predict the permeability index of smelting process in the imperial smelting furnace, an intelligent prediction model is proposed. It integrates the case-based reasoning (CBR) with adaptive par- ticle ... To effectively predict the permeability index of smelting process in the imperial smelting furnace, an intelligent prediction model is proposed. It integrates the case-based reasoning (CBR) with adaptive par- ticle swarm optimization (PSO). The nmnber of nearest neighbors and the weighted features vector are optimized online using the adaptive PSO to improve the prediction accuracy of CBR. The adaptive inertia weight and mutation operation are used to overcome the premature convergence of the PSO. The proposed method is validated a compared with the basic weighted CBR. The results show that the proposed model has higher prediction accuracy and better performance than the basic CBR model. 展开更多
关键词 lead and zinc smelting permeability index prediction case-based reasoning (CBR) adaptive particle swarm optimization (PS0)
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