supported by the National Natural Science Foundation of China(No.52164022).
This study investigated the effect of konjac glucomannan(KGM)on the flotation separation of calcite and scheelite.Micro-flotation tests showed that under the action of 50 mg/L KGM,the floatability of calcite notably d...
financially supported by CAMM(Center of Advanced Mining and Metallurgy/Green Flotation),as a center of excellence at the LuleåUniversity of Technology.
The global reliance on phosphate rock for agriculture and other industries,coupled with chemical regulations in developed countries,has driven the search for green alternatives in apatite flotation.This review investi...
financial support from the Major Science and Technology Special Project of Yunnan Province,China(No.202302AB080012);the National Natural Science Foundation of China(No.52204274);the Shandong Provincial Natural Science Foundation,China(No.ZR2021QE122).
To investigate the mechanisms of how nanobubbles enhance the flotation separation performance of galena from pyrite,the effects of nanobubbles on the surface properties of galena and pyrite and the interactions betwee...
supported by the Research Funding of Wuhan Polytechnic University(2024RZ083);Elisabeth M.Werner’s work was supported by the NSF grant DMS-2103482.Deping Ye’s work was supported by an NSERC grant,Canada.Ning Zhang’s work was supported by the NSF of China(11901217,11971005).
In this article,we explain how the famous Archimedes’principle of flotation can be used to construct various floating bodies.We survey some of the most important results regarding the floating bodies,including their ...
National Key Research and Development Program of China (No. 2020YFC1909202);Major Science and Technology Program of Yunnan Province,China (No. 202202AB080012) for financial support。
Copper and cobalt were recovered from SICOMINES mining waste rock in the Democratic Republic of Congo.The process mineralogy of the samples was analyzed using scanning electron microscopy and energy dispersive spectro...
supported by the National Key R&D Program of China(No.2021YFC2901000);the Key Program of National Natural Science Foundation of China(No.52130406);the Natural Science Foundation Innovation Group Project of Hubei Province(No.2023AFA044);the Fundamental Research Funds for the Central Universities(No.N2301002)。
The storage of solid waste in Bayan Obo has resulted in significant resource wastage and environmental concerns.In this study,an efficient process was developed to recover iron and rare earth elements(REEs)from this w...
supported by Yunnan Science and Technology Leading Talent Project(No.202305AB350005)。
Tin is a critical metal for various industries,making its recovery from low-grade cassiterite ores crucial.This study aimed to optimize the flotation recovery of cassiterite using multi-component collector systems.Sev...
financial support from the National Natural Science Foundation of China(Nos.U2067201,52204300);the National 111 Project,China(No.B14034);the Fundamental Research Funds for the Central Universities of Central South University,China(No.2021zzts0297).
The combined reagents of sodium N-oleoylsarcosinate(SNOS)with metal ions(Ca(Ⅱ),Mg(Ⅱ),Cu(Ⅱ),and Pb(Ⅱ))was employed to facilitate the separation of lepidolite from feldspar.The synergistic interaction mechanism of t...
financially supported by the National Key Research and Development Plan of China(No.2022YFC2904603);the National Natural Science Foundation of China(No.52174268)。
This study aimed to investigate the effect of varying pyrite(Py)content on copper(Cu)in the presence of different regrinding conditions,which were altered using different types of grinding media:iron,ceramic balls,and...
supported by the National Key R&D Program of China(No.2023YFC2908200);National Natural Science Foundation of China(No.52174249);Key Research and Development Program of Jiangxi Province(No.20203BBGL73231).
With the rise of artificial intelligence(AI)in mineral processing,predicting the flotation indexes has attracted significant research attention.Nevertheless,current prediction models suffer from low accuracy and high ...