New Techniques and Concepts in Process Mineralogy

XIAO Yiwu; FANG Mingshan; FU Qiang; YE Xiaolu; MA Nan

doi:10.13779/j.cnki.issn1001-0076.2018.03.009

2018 Vol. 38, No. 3

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XIAO Yiwu, FANG Mingshan, FU Qiang, YE Xiaolu, MA Nan. New Techniques and Concepts in Process Mineralogy[J]. Conservation and Utilization of Mineral Resources, 2018, (3): 49-54. doi: 10.13779/j.cnki.issn1001-0076.2018.03.009

Citation:

XIAO Yiwu, FANG Mingshan, FU Qiang, YE Xiaolu, MA Nan. New Techniques and Concepts in Process Mineralogy[J]. Conservation and Utilization of Mineral Resources, 2018, (3): 49-54. doi: 10.13779/j.cnki.issn1001-0076.2018.03.009

New Techniques and Concepts in Process Mineralogy

1.
BGRIMM Technology Group, Beijing 102628, China
2.
Beijing General Research Institute of Mining and Metallurgy Technology Group, Beijing 102628, China

Received Date: 17 April 2018

Publish Date: 25 June 2018

Abstract

Abstract

In recent years, automated mineral analyzer based on SEM such as QEMSCAN, MLA, AMICS have been widely used in mineral automatic identification and measurement. Because of its advantages in trace detection, laser ablation plasma mass spectrometry (LA-ICP-MS) has made the study of the occurrence state of elements more accurate and thorough. Time of flight secondary ion mass spectrometry (TOF-SIMS) provides a convenient and reliable method for the study of the surface characteristics and change. In the geological exploration stage, based on the process mineralogy research of the sample in different sections, some large mining enterprises pay attention to the influence of the changes in the ore properties on the beneficiation process and indicators. In terms of the present research results, continuous improvement on automatic measurement and intelligent mineral analysis technology, mathematical model to forecast the index of mineral processing, and mineral 3D characterization technology in process mineralogy are the new trends of sustainable development and direction.
- process mineralogy /
- automatic identification /
- occurrence state /
- surface analysis

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References

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