检索结果-南通市图书馆

Comparison of selective flocculation of low grade goethitic iron ore fines using natural and synthetic polymers and a graft copolymer

在线全文

学校读者我要写书评

暂无评论

引用

International Journal of Minerals,Metallurgy and Materials 2018年第5期25卷 498-504页

作者： Kichakeswari Tudu Sagar Pal n.r.mandre Department of Fuel and Mineral Engineering Indian Institute of Technology (Indian School of Mines) Polymer Chemistry Laboratory Department of Applied ChemistryIndian Institute of Technology (Indian School of Mines)

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.

关键词： low grade iron ore fines selective flocculation graft copolymer amylopectin(AP) poly acrylic acid(PAA)

Artificial neural network approach to assess selective flocculation on hematite and kaolinite

在线全文

学校读者我要写书评

暂无评论

引用

International Journal of Minerals,Metallurgy and Materials 2014年第7期21卷 637-646页

作者： Lopamudra Panda P.K.Banerjee Surendra Kumar Biswal r.Venugopal n.r.mandre r&D Tata Steel Limited Institute of Minerals and Materials Technology(Council of Scientific and Industrial research) Department of Fuel & Minerals Engineering Indian School of Mines University

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 ad-sorption 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.

关键词： hematite kaolinite flocculation artificial neural networks back propagation algorithm Fourier transform infrared spectroscopy separation efficiency

Performance evaluation for selectivity of the flocculant on hematite in selective flocculation

在线全文

学校读者我要写书评

暂无评论

引用

International Journal of Minerals,Metallurgy and Materials 2013年第12期20卷 1123-1129页

作者： Lopamudra Panda Pradip K.Banerjee Surendra Kumar Biswal r.Venugopal n.r.mandre research and Development Tata Steel Ltd. Institute of Minerals and Materials Technology (Council of Scientific and Industrial research) Indian School of Mines University

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 fiocculation, the most critical objective is the selection of proper reagents that will make fioc 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 3.6670, respectively. Here, degraded wheat starch was used as a *** this process, separation occurs on the basis of the selectivity of the flocculant. The selectivity of the fiocculant can be quantified in terms of separation efficiency. Here, an attempt was also made to develop a correlation between separation efficiency and major operating parameters such as flocculent dose, pH value, and solid concentration to predict the separation performance.

关键词： hematite kaolinite selective fiocculation modeling iron ores tailings