SLon Magnetic Separator Ltd
SLon Magnetic Separator Ltd
Chen L.,Kunming University of Science and Technology |
Liao G.,SLon Magnetic Separator Ltd. |
Qian Z.,SLon Magnetic Separator Ltd. |
Chen J.,SLon Magnetic Separator Ltd.
International Journal of Mineral Processing | Year: 2012
An innovative dry vibrating high gradient magnetic separation (HGMS) method was developed for the purification of non-metallic ores, and the effect of key variables, i.e.; magnetic induction, rotation speed of ring, vibrating amplitude and frequency of ring on the separation performance of a full-scale dry vibrating HGMS separator in purifying kaolin was investigated. The results of investigation indicate that the variables have significant influence on the performance of the separator; an increase in the magnetic induction and rotation speed of ring reduce the mass weight but increase the iron removal rate of nonmagnetic product, and the increase in the vibrating amplitude and frequency of ring cause a rise in the mass weight but a drop in the removal rate. While all the variables were kept optimum, a nonmagnetic product assaying 0.50% Fe 2O 3 with 84.56% mass weight and 42.08% iron removal rate was obtained from the material assaying 0.73% Fe 2O 3. It was concluded that this dry vibrating HGMS is effective in eliminating powder coagulations during its separation process and provides a prospective method for the purification of non-metallic ores. © 2011 Elsevier B.V. All rights reserved.
Chen L.,Kunming University of Science and Technology |
Qian Z.,SLon Magnetic Separator Ltd. |
Wen S.,Kunming University of Science and Technology |
Huang S.,Kunming University of Science and Technology
Mineral Processing and Extractive Metallurgy Review | Year: 2013
The matrix plays a key role in determining the performance of a high-gradient magnetic separator; it provides the carrier for the magnetic particles to be captured and transported to the nonmagnetic field as magnetic product. High-gradient magnetic separation (HGMS) of ultrafine hematite with the finest 1 mm rod matrix has been investigated on a pilot pulsating HGMS separator. The results of this investigation indicate that this matrix achieves a significantly improved performance for the ultrafine hematites, compared to the coarser 2 mm one which is now widely applied in industry, due to its stronger magnetic capture to ultrafine particles. It was concluded that the 1 mm matrix has a powerful manipulation over ultrafine particles in a pulsating HGMS process, and is capable of achieving a higher separation performance at a considerably lower energizing cost. © 2013 Taylor & Francis Group, LLC.
Qiu T.,Jiangxi University of Science and Technology |
Zhu D.,SLon Magnetic Separator Ltd. |
Fang X.,Jiangxi University of Science and Technology |
Zeng Q.,Jiangxi University of Science and Technology |
And 3 more authors.
Journal of Rare Earths | Year: 2014
Ammonia-nitrogen wastewater is produced during the dressing and smelting process of rare-earth ores. Such wastewater includes a very high concentration of NH4 +, as well as other ions (e.g., NH4 +, RE3+, Al3+, Fe3+, Ca2+, Cl-, and SiO3 2-) with a pH of 5.4-5.6. Its direct discharge will pollute, yet it can be recycled and used as a leaching reagent for ionic rare-earth ores. In this study, leaching kinetics studies of both rare earth ions and impurity ion Al3+ were conducted in the ammonia-nitrogen wastewater system with the aid of impurity inhibitors. Results showed that the leaching process of rare-earth followed the internal diffusion kinetic model. When the temperature was 298 K and the concentration of NH4 + was 0.3 mol/L, the leaching reaction rate constant of ionic rare-earth was 1.72 and the apparent activation energy was 9.619 kJ/mol. The leaching rate was higher than that of conventional leaching system with ammonium sulfate, which indicated that ammonia-nitrogen wastewater system and the addition of impurity inhibitors could promote ionic rare-earth leaching. The leaching kinetic process of impurity Al3+ did not follow either internal diffusion kinetic model or chemical reaction control, but the hybrid control model which was affected by a number of process factors. Thus, during the industrial production the leaching of impurity ions could be reduced by increasing the concentration of impurity inhibitors, reducing the leaching temperature to a proper range, accelerating the seepage velocity of leaching solution, or increasing the leaching rate of rare earths. © 2014 The Chinese Society of Rare Earths.
Yuming L.,Jiangxi University of Science and Technology |
Tian Z.,SLon Magnetic Separator Ltd. |
Ruchun W.,Jiangxi University of Science and Technology |
Zhenli Z.,Jiangxi University of Science and Technology
Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 | Year: 2011
The linear PN junction temperature sensor was used to collect the oil pool temperature of the hydraulic synthetic test-bed, and a temperature collecting system was designed with multi-sensor data fusion. The temperature detection circuit was given. And the temperature measurements were estimated by the least square weighted fusion estimation algorithm online which can improve the estimation precision of the oil temperature. In such way the algorithm provided a solid foundation for improving the temperature control precision. The simulation results indicate that the data fusion algorithm effectively deals with the congeneric multi-sensor data fusion.
Dahe X.,SLon Magnetic Separator Ltd
26th International Mineral Processing Congress, IMPC 2012: Innovative Processing for Sustainable Growth - Conference Proceedings | Year: 2012
In recent years many creative technologies are applied to SLon vertical ring and pulsating high gradient magnetic separators. SLon-2500 and SLon-3000 vertical ring and pulsating high gradient magnetic separators are created towards larger scale. Through optimizing the magnetic system and lowering the electric current density, their energy consumption is obviously dropped. New magnetic matrixes are developed to raise the beneficial efficiency of valuable minerals. Special SLon vertical ring and pulsating high gradient magnetic separators are developed which can treat coarser particles of 0-5 mm. Through these technology creations, the mineral processing efficiency of SLon magnetic separators is further raised and their processing cost dropped. Therefore, they have been found wider applications. SLon-2500 applied in Essar Steel of India. In 2007, Essar Steel did a test on its Kirandul hematite ore with SLon magnetic separator and got very good results. The feed grade is 59.77%Fe, after SLon one roughing and one scavenging, the total iron concentrate grade is 65.00%Fe and iron recovery 93.86%. In 2008-2010, the company bought 10 SLon-2500 magnetic separators to treat such iron ores. In 2010 the first SLon-3000 was applied to processing ilmenite. The magnetite-ilmenite deposit is located in Pan Zhi Hua, Si Chuan Province of China. The ore processing flow sheet is: Drum low intensity magnetic separator is used to take out magnetite, and then the SLon-3000 is used to recover ilmenite for roughing. The mags of the SLon-3000 are further cleaned by flotation. The SLon-3000 average operational results are: feed grade 9.52%TiO2, mags grade 17.43%TiO2, mags mass ratio 41.01%, TiO2 recovery 75.09%, non-mags grade 4.02% TiO2, non-mags mass ratio 58.99%. SLon magnetic separators Applied to treat 0-5mm limonite: The feed of SLon magnetic separator is usually 0-2 mm which needs to be ground by ball mill. As many Chinese iron ores are poor grades, if we can throw part of tails before grinding, the grinding cost will be greatly reduced. In 2010, a SLon-1500 and a SLon-2000 were specially built to treat 0-5 mm limonite. The feed grade is 26.51%Fe, mags grade 53.20%Fe, iron recovery 64.26, and tails grade 13.66% Fe. SLon-2500 applied to purify quartz. In 2009, a SLon-2500 magnetic separator was applied to purify quartz in Shan Xi province. Its feed is 0-1mm quartz which contains 0.15%-0.25%Fe2O3, the designed non-mags grade need to be less 0.08% Fe2O3. The production results of SLon-2500 non-mags are 0.05-0.06% Fe2O3, much better than the designed data. SLon applied in Si Jia Ying Iron Mine to recover hematite. Si Jia Ying is a big oxidized iron mine located in He Bei Province of China. In 2005-2010, a plant annually treating 10 million tons of oxidized iron ore was built in which 39 SLon magnetic separators are applied. The total flow sheet results are: Feed grade 30.44%Fe, iron concentrate grade 66%Fe, iron recovery 80%Fe, tails grade 9.65Fe%. SLon applied to recover specularite. Li Lou Iron Mine in An Hui Province of China built a plant annually processing 5 million tons of iron ore in 2010-2011. 25 SLon-2000 magnetic separators are applied to recover specularite. The total flow sheet results are: Feed grade 31.65%Fe, iron concentrate grade 65%Fe, iron recovery 80%Fe, tails grade 10.37%Fe. SLon applied in Da Hong Shan Iron Mine. Da Hong Shan Iron Mine is located in Yun Nan province of China. It treats 4.5 million tons of oxidized iron ore annually. 15 SLon-2000 magnetic separators are applied to recover hematite. The total flow sheet results are: Feed grade 35.61%Fe, iron concentrate grade 64.95%Fe, iron recovery 74.08%Fe, tails grade 15.55%.
Dahe X.,SLon Magnetic Separator Ltd.
IRON ORE 2011, Proceedings | Year: 2011
SLon vertical ring and pulsating high gradient magnetic separators possess excellent mineral processing ability and have been widely applied to process oxidised iron ores. SLon centrifugal separators are applied to clean the SLon magnetic concentrate and remove quartz and other gangue minerals associated with a small portion of magnetite. This paper introduces the application of this technology in Hai Nan, Da Hong Shan and An Shan for processing oxidised iron ores.
Xiong D.,SLon Magnetic Separator Ltd
XXV International Mineral Processing Congress 2010, IMPC 2010 | Year: 2010
The first SLon-2500 vertical ring-pulsating high gradient magnetic separator was designed and built up in 2006. It was installed at the tails dam of Hai Nan Iron Mining Company to recover iron concentrate from the pumping tails. The iron minerals exist mainly in the 0-19 micron fraction and they are deeply oxidised. The average processing results are: the feed of the SLon-2500 magnetic separator is 27.5 per cent Fe, iron concentrate grade 52.40 per cent Fe, iron recovery 35.14, the fi nal tails grade 21.87 per cent Fe. In order to further upgrade the iron concentrate, 18 units of SLon-F1600 × 900 centrifugal separators are applied for the cleaning work. Their average cleaning results are: the feed grade of the centrifugal separator is 52.40 per cent Fe, iron concentrate grade 61.30 per cent Fe, iron recovery 64.19 per cent, tails grade 41.58 per cent Fe. Up to September 2009, the processing line has been running for 30 months. The average feeding mass of the SLon-2500 is about 100 tons per hour. Each year it treats 720 000 tons of abandoned tails, and recovers about 70 000 tons of iron concentrate containing 61.30 per cent Fe. This research work made a signifi cant success in recovering valuable iron minerals from abandoned tails.
Chen D.H.,JiangxiUniversity of Science and Technology |
Cao W.F.,JiangxiUniversity of Science and Technology |
Zhang T.,SLon Magnetic Separator Ltd
Applied Mechanics and Materials | Year: 2013
Compressed natural gas (CNG) automobile is an emerging new energy car. How to control gas injection is the key technology of CNG electronic control system. At present, the control based on the MAP graph is used usually, but this control method has some shortages, for example larger data, poor adaptive capacity and difficulties in data updating. BP neural network control has adaptive and self-learning, nonlinear processing ability and high generalization, and faults tolerant ability in processing information. In this paper, BP neural network is used to control natural gas injection in order to solve the shortage of the MAP picture control. Simulation experiment shows thefeasibility and advantage of this method. © (2013) Trans Tech Publications, Switzerland.