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| 1 | Performance evaluation for selectivity of the flocculant on hematite in selective flocculation显示文摘Increased demand for iron ore necessitates the utilization of low-grade iron ore fines,slimes,and existing tailings.Selective flocculation can be an alternative physico-chemical process for utilizing these low-grade fines,slimes,and tailings.In selective flocculation,the most critical objective is the selection of proper reagents that will make floc of desired minerals.In present study,selective flocculation was applied to ultra-fine synthetic mixtures of hematite and kaolinite,and the Fe value was upgraded up to 65.78% with the reduction of Al2O3 and SiO2 values to 2.65% and 3.66%,respectively.Here,degraded wheat starch was used as a flocculant.In this process,separation occurs on the basis of the selectivity of the flocculant.The selectivity of the flocculant can be quantified in terms of separation effciency.Here,an attempt was also made to develop a correlation between separation effciency and major operating parameters such as flocculent dose,pH value,and solid concentration to predict the separation performance. | Lopamudra Panda Pradip K.Banerjee Surendra Kumar Biswal R.Venugopal N.R.Mandre | 2013 | International Journal of Minerals,Metallurgy and Materials2013，20，12： | 4 |
| 2 | Comparison of selective flocculation of low grade goethitic iron ore fines using natural and synthetic polymers and a graft copolymer显示文摘This study aims to beneficiate low grade goethitic iron ore fines using a selective flocculation process. Selective flocculation studies were conducted using different polymers such as starch amylopectin(AP), poly acrylic acid(PAA), and a graft copolymer(AP-g-PAA). The obtained results were analyzed; they indicate the enhancement of the iron ore grade from 58.49% to 67.52% using AP-g-PAA with a recovery of 95.08%. In addition, 64.45% Fe with a recovery of 88.79% was obtained using AP. Similarly, using PAA, the grade increased to 63.46% Fe with a recovery of 82.10%. The findings are also supported by characterizing concentrates using X-ray diffraction(XRD) and electron probe microanalysis(EPMA) techniques. | Kichakeswari Tudu Sagar Pal N.R.Mandre | 2018 | International Journal of Minerals,Metallurgy and Materials2018，25，5： | 4 |
| 3 | 通过选择性浸出、结晶和沉积回收废重整催化剂中的镍和铝显示文摘研究和优化不同工艺条件下硫酸(3.0~5.5 mol/L)浸出回收Ni和Al的工艺。浸出实验表明,在H_(2)SO_(4)浓度5.5 mol/L、反应时间4 h、固液比0.2 g/mL、温度358 K、粒径<100μm、搅拌速度200~250 r/min、催化剂用量5.0 g的条件下,可提取98.5%的NiO和40.7%的Al_(2)O_(3)。浸出液中的Al用1.4 mol/L KOH选择性结晶分离,Ni用0.3 mol/L H_(2)C_(2)O_(4)选择性沉淀分离。此法可回收约97.9%的NiO,纯度达98.3%;约25%的Al_(2)O_(3)以明矾(纯度为99%)形式回收,14.7%的Al_(2)O_(3)以Al-K-C_(2)O_(4)-SO_(4)盐的形式回收。研究结果表明,硫酸是一种合适的选择性浸出溶剂,而且可以从硫酸盐溶液中选择性结晶出明矾。TG-DTA/DTG和XRD表征研究证明,本工艺可以有效地提取和回收镍和铝。 | Naga Raju BATTI N.R.MANDRE | 2022 | Transactions of Nonferrous Metals Society of China2022，32，1： | 2 |
| 4 | Artificial neural network approach to assess selective flocculation on hematite and kaolinite显示文摘Because of the current depletion of high grade reserves,beneficiation of low grade ore,tailings produced and tailings stored in tailing ponds is needed to fulfill the market demand.Selective flocculation is one alternative process that could be used for the beneficiation of ultra-fine material.This process has not been extensively used commercially because of its complex dependency on process parameters.In this paper,a selective flocculation process,using synthetic mixtures of hematite and kaolinite in different ratios,was attempted,and the adsorption mechanism was investigated by Fourier transform infrared(FTIR) spectroscopy.A three-layer artificial neural network(ANN)model(4-4-3) was used to predict the separation performance of the process in terms of grade,Fe recovery,and separation efficiency.The model values were in good agreement with experimental values. | Lopamudra Panda P.K.Banerjee Surendra Kumar Biswal R.Venugopal N.R.Mandre | 2014 | International Journal of Minerals,Metallurgy and Materials2014，21，7： | 1 |
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