首页> 外文期刊>Transactions of the Indian Institute of Metals >REDUCTION OF PHOSPHORUS CONTENT OF CERTAIN HIGH PHOSPHORUS MANGANESE ORES OF INDIA BY ROASTING WITH SODIUM CHLORIDE FOLLOWED BY LEACHING IN ACID MEDIUM I: STATISTICAL DESIGN OF ROASTING EXPERIMENTS
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REDUCTION OF PHOSPHORUS CONTENT OF CERTAIN HIGH PHOSPHORUS MANGANESE ORES OF INDIA BY ROASTING WITH SODIUM CHLORIDE FOLLOWED BY LEACHING IN ACID MEDIUM I: STATISTICAL DESIGN OF ROASTING EXPERIMENTS

机译:酸性介质淋滤后氯化钠焙烧还原印度某些高锰锰矿中的磷含量I:焙烧实验的统计设计

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摘要

The high phosphorus manganese ores of eastern coastal region of India require drastic chemical treatment to reduce their phosphorus contents because of its very complex nature of occurrence in these ores. The method consists in roasting the ore with 2-6 percent sodium chloride (by weight of ore) at 750 deg- 800 deg C followed by leaching in dilute nitric or hydrochloric acid. Both roasting and leaching operations are important in this process involving a number of variables or factors which influence the phosphorus content in the final product. In such cases statistical analysis of the data provides a better picture of the influence of different variables or the combination of variables. An attempt has been made in this paper to use statistical methods not only to assess the significance of different variables hut also to ascertain the optimum conditions of roasting.
机译:印度东部沿海地区的高磷锰矿石需要进行激烈的化学处理以降低其磷含量,因为这些矿石中的锰矿石非常复杂。该方法包括在750摄氏度至800摄氏度下用2%至6%的氯化钠(按矿石重量计)焙烧矿石,然后在稀硝酸或盐酸中浸提。在此过程中,焙烧和浸出操作均很重要,涉及许多影响最终产品中磷含量的变量或因素。在这种情况下,对数据进行统计分析可以更好地了解不同变量或变量组合的影响。本文尝试使用统计方法,不仅可以评估不同变量的重要性,还可以确定最佳的烘烤条件。

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