{"title":"锰矿的地质冶金特征","authors":"M. Peterson, J. Manuel, S. Hapugoda","doi":"10.1080/25726838.2020.1863013","DOIUrl":null,"url":null,"abstract":"ABSTRACT This article details two geometallurgical case studies using classification schemes developed for Mn fine and lump ores. For the first, the relative abundance of 15 material types was compared to chemistry by size fraction. Positive correlations were evident between the proportion of aluminosilicate-bearing ore groups and Al2O3 content, the ratio of Mn oxide/Fe oxide ore groups and the Mn/Fe content, the proportion of cryptomelane-bearing groups and the K2O and BaO contents, and the ratio of hard to moderately hard + friable particles and the K2O + Ba + Na content. For the second, agreement was observed between the types of predominant material types in the two different ores and their mass distributions, major and trace element chemistries. Different material types had clear variances in their envelope and apparent particle densities. These two case studies support the expanded use of particle-based ore classification schemes for the characterisation of Mn ores to better predict their downstream processing performance.","PeriodicalId":43298,"journal":{"name":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","volume":"130 1","pages":"2 - 22"},"PeriodicalIF":0.9000,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/25726838.2020.1863013","citationCount":"1","resultStr":"{\"title\":\"Geometallurgical characterisation of Mn ores\",\"authors\":\"M. Peterson, J. Manuel, S. Hapugoda\",\"doi\":\"10.1080/25726838.2020.1863013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This article details two geometallurgical case studies using classification schemes developed for Mn fine and lump ores. For the first, the relative abundance of 15 material types was compared to chemistry by size fraction. Positive correlations were evident between the proportion of aluminosilicate-bearing ore groups and Al2O3 content, the ratio of Mn oxide/Fe oxide ore groups and the Mn/Fe content, the proportion of cryptomelane-bearing groups and the K2O and BaO contents, and the ratio of hard to moderately hard + friable particles and the K2O + Ba + Na content. For the second, agreement was observed between the types of predominant material types in the two different ores and their mass distributions, major and trace element chemistries. Different material types had clear variances in their envelope and apparent particle densities. These two case studies support the expanded use of particle-based ore classification schemes for the characterisation of Mn ores to better predict their downstream processing performance.\",\"PeriodicalId\":43298,\"journal\":{\"name\":\"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy\",\"volume\":\"130 1\",\"pages\":\"2 - 22\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2021-01-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/25726838.2020.1863013\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/25726838.2020.1863013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/25726838.2020.1863013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1
摘要
摘要本文详细介绍了两个地质冶金案例研究,使用针对锰细粒和块状矿石开发的分类方案。首先,将15种材料类型的相对丰度与化学成分的尺寸分数进行了比较。含铝硅酸盐矿组的比例与Al2O3含量、氧化锰/氧化铁矿组的比率与Mn/Fe含量、含隐黑岩矿组的百分比与K2O和BaO含量以及硬质与中硬质的比率之间存在明显的正相关 + 易碎颗粒和K2O + Ba + Na含量。第二,观察到两种不同矿石中主要物质类型的类型及其质量分布、主要元素和微量元素化学成分之间的一致性。不同的材料类型在其包络和表观颗粒密度方面有明显的差异。这两个案例研究支持扩大使用基于颗粒的矿石分类方案来表征锰矿,以更好地预测其下游加工性能。
ABSTRACT This article details two geometallurgical case studies using classification schemes developed for Mn fine and lump ores. For the first, the relative abundance of 15 material types was compared to chemistry by size fraction. Positive correlations were evident between the proportion of aluminosilicate-bearing ore groups and Al2O3 content, the ratio of Mn oxide/Fe oxide ore groups and the Mn/Fe content, the proportion of cryptomelane-bearing groups and the K2O and BaO contents, and the ratio of hard to moderately hard + friable particles and the K2O + Ba + Na content. For the second, agreement was observed between the types of predominant material types in the two different ores and their mass distributions, major and trace element chemistries. Different material types had clear variances in their envelope and apparent particle densities. These two case studies support the expanded use of particle-based ore classification schemes for the characterisation of Mn ores to better predict their downstream processing performance.