铁矿资源回收与尾矿综合利用

结合山东省铁矿资源储量及铁矿石供需情况，分析了山东省省属以上铁矿山选矿生产工艺技术状况，总结了铁矿资源综合利用工作取得的成绩，指出山东省省属以上铁矿山仍存在选矿回收率低、设备落后等问题。为提高山东省铁矿资源回收及尾矿综合利用水平，应积极应用新工艺和新设备、做好磨前预选工作和尾矿再选工作、拓宽尾矿利用渠道等。     

我国铁矿选矿技术的进展

综述了我国铁矿选矿技术的进步,特别是近年来在选矿工艺、选矿设备、自磨、长距离管道输送及选矿厂自动化等方面所取得的突破性进展。提出了进一步提高铁矿选矿技术水平的建议。     

高磷铁矿石脱磷技术研究现状及发展趋势

高磷铁矿石的选矿已成为国内外的一大选矿技术难题,本文总结了当前国内外高磷铁矿脱磷工艺的研究现状及方法,从我国高磷铁矿选矿技术现状和高磷铁矿选铁脱磷工艺存在的问题进行了综述和分析,提出开发高磷铁矿石的提铁降磷工艺的发展方向及趋势.     

铁矿选矿技术进展及发展方向

本文从我国铁矿石资源的形势论述铁矿选矿技术发展的迫切性.主要介绍了国内磁铁矿及赤铁矿选矿技术的进展,尤其是磁选设备和反浮选工艺的研究情况.指出今后应加强贫铁矿资源、复杂难选铁矿资源分选方面的研究,以实现铁矿资源利用技术的整体提高.     

尖山铁矿选矿技术新进展

介绍了近年来尖山铁矿选矿技术取得的进步，着重评述了高效选矿设备的应用、先进选矿工艺的引进、破碎磨矿自动控制等等。     

白云鄂博铁矿拟建选矿厂整体优化研究

为适应生产发展和环境要求,公司拟在白云鄂博铁矿建选矿厂,针对白云铁矿工业场地设施、设备较多,矿石品级、各种矿物含量较多等情况,对选矿厂、尾矿库区位置和选矿方法、原矿和精矿及尾矿运输进行整体优化,选择适合白云铁矿矿石生产的采选工艺。通过研究合理确定选矿厂、尾矿库位置和选矿工艺,提高选矿指标,提升公司市场竞争力。     

白云西矿超贫磁铁矿矿物工艺研究

超贫磁铁矿的合理开发利用,对于挖掘我国铁矿资源潜力,提高国内铁矿资源保障程度,保证国家经济安全和经济可持续发展具有重要意义。文章对白云鄂博西矿超贫磁铁矿开展了矿石工艺矿物学研究,从矿石矿物组成特征上,探讨了影响该类型铁矿石选矿指标的矿物学因素,对该类型矿石的选矿具有重要指导作用。     

青海某铁矿选矿工艺设计

针对青海某铁矿,通过对矿石工艺矿物学、选矿试验的研究,结果表明:矿石中的磁铁矿嵌布粒度很细,磨矿细度需达到92%-500目,方可得到品位60%的铁精矿,属于难选矿石。根据选矿试验确定了设计合理的选矿工艺流程,对工艺设计研究进行了综合论述。     

白云铁矿资源开发利用及采矿工艺改造

文章阐述了白云鄂博铁矿资源开发利用及采矿工艺改造现状,重点讲述了建立长期、稳定、安全、优质的资源供应基地需重视的问题,即资源利用问题、采矿工艺改造、选矿建设等问题。     

白云铁矿资源开发利用及采矿工艺改造

文章阐述了白云鄂博铁矿资源开发利用及采矿工艺改造现状,重点讲述了建立长期、稳定、安全、优质的资源供应基地需重视的问题,即资源利用问题、采矿工艺改造、选矿建设等问题.     

山东省铁矿石来（进）料加工回顾与展望

介绍了山东省铁矿石来料加工的历史,指出进口铁矿石的引入为山东省高炉冶炼实现“酸性球团矿(或块矿) 高碱度高品位烧结矿”的合理炉料结构奠定了基础,从而提高了高炉综合经济技术指标;并探讨了未来山东省进口铁矿石的发展方向。     

山钢非洲唐克里里铁矿项目运作实践

中国钢铁业受国际铁矿石供求不平衡的制约面临巨大挑战,生产成本居高不下。山钢集团作为国有大型钢铁企业积极探索走出去战略,在世界范围寻求质优价廉的铁矿石资源,以非洲塞拉利昂唐克里里铁矿项目运作实践为例,为省管企业走出去获取战略资源提供一定的借鉴和参考。     

某难选赤褐铁矿选矿试验研究

某难选赤褐铁矿主要铁矿物为赤褐铁矿,有害杂质硫、磷、砷含量较低。为了开发利用该铁矿资源,对其进行了选矿试验研究。原矿性质分析可知,铁品位为38.79%,铁矿石中赤铁矿占77.67%,褐铁矿占12.27%。条件试验研究表明,原矿经加煤粉还原焙烧后磨矿,再进行一次粗选、一次精选、一次扫选的磁选试验,最终可获得铁品位为61.53%,回收率为75.22%的铁精矿产品。     

Processing of Alumina-Rich Iron Ore Slimes: Is the Selective Dispersion–Flocculation–Flotation the Solution We Are Looking for the Challenging Problem Facing the Indian Iron and Steel Industry?

Beneficiation of alumina rich iron ore slimes is a major challenge for the Indian iron ore industry. Considering the limits of gravity and magnetic separation processes in the relatively finer size range in terms of achieving adequate separation efficiency, selective flotation (with and without selective flocculation) of iron ore slimes, which is being used commercially in several countries for the beneficiation of iron ores, is worth exploring for the beneficiation of Indian iron ores. Based on the extensive work carried out in our laboratories, we have concluded that the design and development of highly selective reagents to achieve satisfactory separation of hematite and goethite from alumina containing minerals (gibbsite or kaolinite) in the ore and ore slimes, is the key to solving the challenging problem of processing alumina rich iron ores. Accordingly our research work has been focused on finding/designing selective reagents for iron oxide–gibbsite–kaolinite separation based on a molecular modeling computational approach developed by us for the design of mineral processing reagents. We present in this paper the results of our density functional theory computations to evaluate the interaction energies of a wide variety of different reagent functional groups such as carboxylic acid, hydroxamic acid, phosphonic acid, iminobismethyl phosphoric acid, xanthate and starch with hematite, gibbsite and kaolinite surfaces. Among all the reagents investigated so far, starch exhibits the highest selectivity towards the hematite surface with a difference in interaction energy of ~63 kcal/mol between hematite and gibbsite surfaces. Based on our earlier work which indicated polyvinyl pyrrolidone (PVP) to be more selective dispersant for kaolinite compared to conventional sodium silicate and sodium hexametaphosphate, we have investigated selective flocculation–dispersion of natural iron ore slimes (three different samples obtained from three different mines in India) with PVP and starch reagent combination. The results are promising. While the work is still in progress, the implications of our recent results are discussed in the context of the challenging problem of processing of alumina rich iron ore slimes in India.     

我国氟碳铈矿选矿生产工艺进展

自１９９４年以来，随着轻稀土产品市场的好转，稀土行业的龙头工艺—稀土选矿生产工艺流程也得到了促进与发展，涌现出几种新的生产工艺流程和稀土矿物浮选药剂。本文就我国内蒙古白云鄂博矿、四川冕宁矿、山东微山矿的稀土选矿工艺流程予以介绍，并对上述地区生产工艺中存在的问题加以讨论。     

铁矿粉烧结基础特性之同化性研究进展

烧结矿在中国高炉的入炉炉料中所占比例为70%左右,烧结工序能耗占钢铁生产能耗的8%～10%,合理优化烧结配矿过程有利于钢铁企业增产降耗。利用铁矿粉烧结高温基础特性指导优化配矿更符合生产实际,基础特性中的同化性反映铁矿粉与CaO熔剂形成液相的难易程度,影响烧结矿的矿物组成、冷态性能及冶金性能,近年来相关研究取得了较大的进展。首先总结了铁矿粉同化性的研究历程,以及当前同化性检测的方法及设备,探讨了各种方法的优缺点,随后分析了不同铁矿粉化学成分等对最低同化温度的影响。结果表明,随着SiO₂、Al₂O₃含量的增加,最低同化温度先降低后升高;MgO、(Al₂O₃+SiO₂+MgO)含量的增加使最低同化温度升高。对不同含铁矿物而言,一般表现为褐铁矿同化性优于赤铁矿,磁铁矿的同化性最差。最后,在前人研究的基础上,基于烧结工艺、优化配矿以及实践经验,总结并探讨了现阶段存在的问题,并尝试提出了未来相关研究的方向。     

攀西地区某钒钛磁铁矿可选性试验研究及其可选性差异的机理分析

钒钛磁铁矿在攀西地区有较为广泛的分布,经过多年的研究与实践,选矿工艺技术已经较为成熟.但是攀西地区钒钛磁铁矿各个矿区的矿石性质存在一些差别.本文着重介绍了在对攀枝花市米易某钒钛磁铁矿的可选性试验研究过程中发现的一些可选性差异.在选铁时采用了细磨-高磁场强度(0.2T)工艺;细粒尾矿采用浮选方法选钛铁矿时,采用了较高的硫酸用量条件,使得选铁、选钛均取得了较好效果.并且通过严密的对差异进行的机理分析,找到了可选性异常的根本原因.这一些新的发现对开发攀西地区钒钛磁铁矿的个别矿段具有重要的指导意义.     

Sintering with Kovdor magnetite concentrates in the batch

Electron-microscope data show that the magnetite crystals in iron ore have different microstructure, depending on the temperature and time of ore formation. Thus, in sedimentary–metamorphic iron quartzites and magmatic skarns, the structure of the magnetite crystals is homogeneous and the composition is close to stoichiometric. In Kovdor ore, the magnetite crystals are heterogeneous. The matrix contains isomorphic Al, Mg, Ti, and other impurities as individual spinel microphases. The reduction of magnetite crystals in conditions that resemble sintering indicates that heterogeneous crystals disintegrate on sintering, with the formation of two ore phases: solid solutions of magnetite and wustite that are not involved in liquid-phase strengthening of the sinter. In the final stage of fluxed-sinter production, calcium–silicon silicate binders of melilite composition are formed in the product in place of the melt; these binders are not strong. On the basis of the research findings, it is important, in assessing iron-ore fields, to pay attention not only to the content of iron and silicon oxides in the ore but also to the structure of the magnetite crystals, since the iron in the magnetite determines the direction of melt formation in processing.