一种低品位萤石矿的选矿工艺研究

本文以德化县金竹坑低品位萤石矿的矿石为例,原矿经破碎后,通过粗选磨矿细度试验确定磨矿细度,正交法确定药剂用量,经开路试验探索后,采用一次粗选、七次精选闭路浮选的小型闭路流程进行选矿试验,选别后获得的最终产品指标为:萤石精矿产率19.86%、萤石精矿品位96.27%、萤石回收率92.44%。     

湖北大峪口磷矿正反浮选试验研究

通过对湖北大峪口磷矿的性质研究,查明其主要有用矿物为胶磷矿,主要脉石矿物为SiO_2和CaO,属于硅钙质胶磷矿。针对该矿性质,采用几种新型药剂进行正反浮选工艺试验研究,通过条件试验确定最佳磨矿细度、浮选药剂制度,在此基础上进行闭路试验,获得了较理想的选矿效果。原矿P_2O_5品位22.83%,经过正浮选一粗一扫、反浮选一粗两扫的闭路试验流程,获得磷精矿P_2O_5品位31.11%、回收率85.61%、正浮选尾矿品位11.75%、反浮选尾矿品位6.25%的浮选指标。     

甘肃某低品位磷矿选矿试验研究

基于工艺矿物学研究,查明甘肃罗家峡磷矿属低品位磷灰石型磷矿,氟磷灰石的矿物质量分数为7.02%。磨矿对比试验结果表明,两段磨矿的浮选指标优于一段磨矿。浮选条件试验结果表明,以氧化石蜡皂为捕收剂,碳酸钠和水玻璃为调整剂,可以有效富集原矿中的磷灰石。采用一粗二扫四精、中矿顺序返回的闭路流程,得到了产率7.78%,含P2O529.04%、含MgO 1.89%,回收率76.56%的磷灰石精矿,采用腐植酸钠降镁后,可获得合格磷灰石精矿。     

根据物料特性确定闭路磨矿循环负荷

只要利用闭路磨矿流程给料和产品的粒度分布，通过非线性最优化方法估计出模型参数，就可以求出磨矿回路的循环负荷，因而从理论上省略了测定循环负荷的工作量，具有一定的实际意义。     

湖南某石英型萤石矿选矿试验研究

根据湖南某石英型萤石矿的矿石性质,选用碳酸钠为pH调整剂,水玻璃+糊精为组合抑制剂,油酸为捕收剂进行浮选试验研究,闭路流程粗选磨矿细度为-200目占42.52%,采用1次磨矿粗选—粗精矿再磨—7次精选—中矿顺序返回的工艺流程,可以获得品位96.45%、回收率79.71%的萤石精矿。     

金家河磷矿的浮选试验

金家河磷矿于1983年初建成20万t/a的选矿厂,采用两段闭路磨矿,溢流细度-200目96％,浮选流程为一粗一扫二精的闭路流程,使用的浮选药剂有化皂、S_(808)、碳酸钠和水玻璃。矿浆加温到60℃。浮选精矿含P_2O_528％～31％。回收率68％,最高也只达70％。由于药剂耗量大,指标欠佳,经济不能过关,调试后就未再生产。为充分利用现有设     

湖北某磷灰岩常温浮选工艺优化

采用开路粗选正浮选流程对湖北黄梅磷矿进行了单因素浮选试验。最终确定粗选工艺条件:磨矿细度为粒径≤0.074 mm颗粒占71.17%左右、调整剂碳酸钠用量为1.5 kg/t、抑制剂硅酸钠用量为0.75 kg/t、捕收剂FZ-011用量为0.7 kg/t,获得精矿w(P2O5)25.28%、P2O5回收率82.22%的选矿指标,有利于下一步闭路浮选工艺流程的确定。     

响应曲面法优化某氧化铜矿硫化浮选

对云南某地难选氧化铜矿进行了SEM,XRD表征和铜物相分析,确立了硫化浮选的选矿工艺,进行了单因素实验,并通过响应曲面法优化浮选条件.结果表明,响应曲面法优化精矿铜品位和回收率模型p值均小于0.05.磨矿细度和磷酸乙二胺用量对铜精矿回收率有显著影响,磷酸乙二胺用量对铜精矿品位影响显著.响应曲面法优化的最佳浮选条件为磨矿细度小于0.074mm颗粒占86.07%、硫化钠用量2012.75 g/t、磷酸乙二胺用量132.19g/t,该条件下得到回收率79.007%、品位22.156%的铜精矿,浮选实验结果与响应曲面法优化结果基本一致.根据优化的浮选条件进行浮选闭路流程实验,所得铜精矿含铜21.93%,回收率为76.23%.     

四川某磷矿选矿试验对比研究

根据对四川省某磷矿勘查区中低品位矿石所做的选矿试验,确定适合该矿区的选矿流程为正反浮选工艺流程,磨矿细度为-200目质量分数占92.30%,浮选温度25℃,在原矿品位为P_2O_518.85%时,获得的闭路工艺指标为,精矿产率65.10%,精矿品位P_2O_530.11%,回收率80.01%,MgO0.89%。结合相邻矿山的对比试验情况,采用正反浮选工艺流程具有较好的经济效益,适合该矿山的开发利用。     

河北某低品位钒钛磁铁矿铁尾矿中磷回收试验研究

对河北某低品位钒钛磁铁矿选铁尾矿进行了磷矿物浮选试验,系统研究了抑制剂、调整剂和捕收剂的用量。在磨矿细度-200目为40%时,经过一次粗选、两次精选、两次扫选的浮选闭路试验,可以获得品位为34.98%,回收率为91.78%的磷精矿。     

提高硫精矿品位的工艺技术探索

对云浮低品位硫铁矿进行了磨矿细度、矿浆pH值、调整剂用量、捕收剂用量、工艺流程结构等试验,结果表明:原矿经一次粗选一次扫选二次精选,可以得到硫品位为48.82％,硫回收率为91.08％的硫精矿.     

Applying One-Stage Grinding and Flotation to Improving Copper Recovery of a Fine-Grained Cu-Mo Sulphide Ore

This paper introduces the mineralogy of a fine-grained Cu-Mo sulphide ore, and the relationship between grinding fineness and flotation performance. Results show that the grinding fineness is a key factor affecting the recovery of copper and molybdenum. The result of one stage grinding and flotation is much better than that of grinding and flotation by stages, because an over grinding of chalcopyrite caused by regrinding of Cu-Mo bulk concentrate can be avoided. Finally, a simple flowsheet has been developed, that is, one-stage fine grinding of raw ore to 90% ?0.074 mm, and a bulk flotation to produce a bulk concentrate by one-stage roughing, two stages of cleaning and one-stage scavenging, followed by three times of Cu-Mo flotation separation. When the feed contains 0.50% Cu and 0.19% Mo, the obtained copper and molybdenum concentrates assay 19.23% Cu and 48.53% Mo with the recoveries of 85.5% and 90.96%, respectively.     

内蒙某低品位石墨矿选矿工艺研究

内蒙某低品位石墨矿,鳞片微细,为提高石墨精矿的品位并保护石墨鳞片,在采用浮选原则流程的条件下,对原矿粗磨的取舍、再磨段数、精选次数、再磨细度等工艺条件及参数进行了系统的试验分析,结果表明,品位为6.31%的原矿经一段磨矿至-100目占79.17%,采用一粗一扫、两段再磨、五次精选选别后,可获得C固品位为86.55%、回收率为94.20%的石墨精矿。     

Fluid Mechanics–Foam Flotation Interactions

Abstract

Foam flotation methods have been used for years for ore concentration and show considerable promise for the removal of a variety of pollutants from wastewaters. However, scant attention has been given to the critical interaction in these processes of surface chemistry and fluid mechanics. A numerical model of an air bubble with an attached floc particle rising in a Stokes flow regime through a liquid pool at the bottom of a batch foam flotation column was developed. This model computed the viscous forces acting to separate the bubble and particle, and these forces were compared with those given by previous investigators. This research demonstrates that, while previous methods have correctly estimated the magnitudes of the viscous forces, they have failed to correctly estimate the directions. Based on the results of this work, a much simpler model for describing the interaction of fluid mechanics and surface chemistry in particle attachment to bubbles in foam flotation columns is suggested.     

Investigations of autogenous and semi-autogenous grinding in tumbling mills

A model based on the specific rates of breakage of each size in a mill as affected by balls and large lumps has been developed. Three mechanisms of breakage are recognized: ‘normal’ fracture of smaller sizes by balls and larger pebbles, ‘chipping’ of raw feed to give rounded pebbles and ‘abrasion’ from the surfaces of pebbles. A tracing technique was developed to distinguish these contributions to autogenous breakage in batch grinding tests. It was found that the accumulation of finer material strongly cushions the impact between pebbles and pebbles and pebbles and balls. Empirical relations were developed to describe this cushioning effect. It was also found that chipping breakage is first order for short times of grinding. The mathematical model lumps fracture and chipping in a single contribution and considers the material as if it were a mixture of fast- and slow-breaking components. Breakage rates and primary breakage distributions measured on an ore in batch tests were used to predict the performance of a 1.8-m diameter pilot-scale mill, and predictions compared to the pilot-scale data on the same ore.     

瓮福磷矿穿岩洞矿段磷矿石选矿研究

对瓮福磷矿穿岩洞矿段混合磷矿石进行了直接浮选、单－反浮选、反－正浮选和正－反浮选４种工艺流程的选别试验,结果表明,采用正－反浮选和反－浮选工艺处理该磷矿石,均可取得较好的试验指标。综合评价推荐的流程是正－反浮选流程。     

富泉磷钾矿综合利用研究

介绍富泉难选磷钾复合矿的综合利用试验方法，影响因素，浮选工艺流程及实验试验和扩大连续试验的结果，试验表明，该矿的磷和钾可综合回收利用。     

用唐钢石人沟铁精矿生产超级精矿

以石人沟铁矿精矿粉为原料生产超级铁精矿，进行了磨矿—反浮选、分级—反浮选和分级—低磁场磁选等试验，并按磨矿—反浮选方案建成了生产超级铁精矿的选矿厂。实践证明阳离子反浮选是生产低硅高纯铁精矿的可靠工艺。     

Development of a vision‐based online soft sensor for oil sands flotation using support vector regression and its application in the dynamic monitoring of bitumen extraction

Extraction from oil sands is a crucial step in the industrial recovery of bitumen. It is challenging to obtain online measurements of process outputs such as bitumen grade and recovery. Online measurements are a prerequisite for innovating better process control solutions for process efficiency and cost reduction. We have developed a soft sensor to provide online measurements of bitumen grade and recovery in a flotation‐based oil sand extraction process. Continuous froth images were captured using a VisioFroth camera system on a batch flotation unit. A support vector regression (SVR) model with a Gaussian kernel was constructed to develop a soft sensor for bitumen grade and recovery using froth image features as the inputs. The model was trained and validated for batch flotation of different grades of oil sands ore at industry‐relevant process conditions. A Dean‐Stark analyzer was used to obtain offline grade and recovery measurements that were used to calibrate the soft sensor. Mean squared errors (MSE) of 62 and 74 were achieved for grade (%) and recovery (%), respectively, and this was obtained using 5‐fold cross validation. The developed soft sensor model has been applied successfully in the real‐time dynamic monitoring of flotation grade and recovery for different grades of ore and operating conditions.

     

硫铁矿碎磨工艺探讨

针对云浮硫铁矿现有的碎磨工艺当前只能生产耗能多的单一产品的问题，提出了改进意见，即采用具品位分级功能的粗碎-开路自磨工艺生产多种品级的矿石产品。