|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Temperature variation characteristics in flocculation settlement of tailings and its mechanism显示文摘Rapid flocculation and settlement(FS)of mine tailings is significant for the improvement and development of the filling process,whereas the settlement velocity(SV)of tailings in FS has been recognized as a key parameter to evaluate the settlement effect.However,the influence of temperature on the SV and its mechanism have not been studied.FS experiments on tailings with various ambient temperatures were carried out.The SVs of tailings with a solid waste content of 10wt%and an anionic polyacrylamide content of 20 g·t^−1 were measured at different temperatures.The SV presented an“N”-shaped variation curve as the temperature changed from 5 to 40℃.The mechanism of these results can be explained from the perspective of the electric double-layer repulsive force,molecular dynamics,and the polymer flocculation principle,as revealed from the scanning electron microscopy of floc particles.The findings will be beneficial in the design of tailings dewatering processes and save costs in the production of cemented paste backfill. | Dao-lin Wang Qin-li Zhang Qiu-song Chen Chong-chong Qi Yan Feng Chong-chun Xiao | 2020 | International Journal of Minerals,Metallurgy and Materials2020，27，11： | 11 |
| 2 | Fractal and microscopic quantitative characterization of unclassified tailings flocs显示文摘A series of laboratory investigations are conducted to analyze the effect of flocculant type on the spatial morphology and microstructural characteristics of flocs during the flocculation and settling of tailings.Four flocculant types(i.e.,ZYZ,JYC-2,ZYD,and JYC-1)are considered in this study.The fractal characteristics and internal structures of tailings flocs with different flocculant types and settlement heights are analyzed by conducting scanning electron microscopy and X-ray micro-computed tomography scanning experiments based on the fractal theory.Results show that unclassified tailings flocs are irregular clusters with fractal characteristics,and the flocculation effect of the four flocculant types has the following trend:ZYZ>JYC-2>ZYD>JYC-1.The size and average grayscale value of tailings flocs decrease with the increase in settlement height.The average grayscale values at the top and bottom are 144 and 103,respectively.The settlement height remarkably affects the pore distribution pattern,as reflected in the constructed three-dimensional pore model of tailings flocs.The top part of flocs has relatively good penetration,whereas the bottom part of flocs has mostly dispersed pores.The number of pores increases exponentially with the increase in settlement height.By contrast,the size of pores initially increases and subsequently decreases with the increase in settlement height. | Di Zheng Wei-dong Song Yu-ye Tan Shuai Cao Zi-long Yang Li-juan Sun | 2021 | International Journal of Minerals,Metallurgy and Materials2021，28，9： | 8 |
| 3 | 改性离子型絮凝剂对含锑矿浆沉降性能的影响显示文摘脱硒渣浮选尾矿矿浆中含锑物料的沉降速度慢、沉降效果差,难以进行有效的固液分离,是湿法炼锑工艺的技术难题。在矿浆中加入絮凝剂沉降是工业上较为常用的方法。以云南某炼铜企业的脱硒渣浮选尾矿为原料,研究了絮凝剂的种类、添加量以及试验温度等因素对矿浆沉降的影响。结果表明,与未加入絮凝剂的相比,改性阳离子型聚丙烯酰胺絮凝剂和改性阴离子型聚丙烯酰胺絮凝剂均能较大幅度地提高矿浆的沉降速率;两种改性絮凝剂相比,改性阳离子聚丙烯酰胺絮凝剂更有利于获得较佳的沉降效果,且在沉降温度90℃、絮凝剂加入量为0.005~0.006g/L时,絮凝沉降效果最佳。 | 史淯升 俞小花 李荣兴 谢刚 | 2019 | 矿冶2019，28，3： | 3 |
| 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 |
您所在的机构暂未开通此部分的功能，请联系管理员