Process Mineralogy Automatic Detection System in Research of a Gold Polymetallic Mine
| Autor: | Qiang Ji, Guangsheng Li, Xingfu Zhu, Tengyue Gao, Guanglin Qin, Chao Xu, Mingming Cai, Zhongbo Lu, Yanbo Chen, Juntong Zhang, Xiangwei Qin, Junjie Wang |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Journal of Physics: Conference Series. 2428:012009 |
| ISSN: | 1742-6596 1742-6588 |
| Popis: | Automatic process mineralogy detection system has been widely used in beneficiation process parameters detection, cause finding, and defect diagnosis in concentrators. A gold ore composition in Shandong is more complex, and recovery is difficult. To clarify the ore properties, mineral composition, main minerals, embedded characteristics, and monomer dissociation characteristics, the scanning electron microscope, BPMA, and energy spectrometer are used for the ore sample process mineralogy research to provide a reliable basis for the study of the selection process. The research shows that the main valuable elements in the ore are gold and copper, copper and gold symbiotic ore. Meanwhile, the gold, copper, and iron-containing minerals are closely embedded, pyrite and magnetite are the main minerals for sulfur recovery, and magnetite and limonite are the main minerals for producing iron concentrate. Automatic process mineralogy has played an important role in determining the selectability research and beneficiation process of the polymetallic gold ore. |
| Databáze: | OpenAIRE |
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