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Quantitative estimation of crystalline phases in coal - Reply

机译:煤中结晶相的定量估计-答复

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It has been shown in the paper that without doing the LTA (low temperature ashing, where organic matter of the coal is removed) SIROQUANT gives a good estimation of mineral matter in raw coal. The software has provision by which the background due to presence of non-crystalline material can be subtracted out. The slopes of the regression graphs are moderately high, which show the reliability of the software for direct quantification of mineral phases. Except A1_2O_3 (0.448), FeO has very high correlation coefficients (0.846) and SiO_2 (0.671). As noted on p. 510, 2nd column, 'The FeO regression graph gives low correlation coefficient due to one datapoint from SING-R coal, which is an outlier data with unknown reason. If we plot another regression graph for FeO with the remaining datapoints, R~2 increases to 0,846, which is quite high'.
机译:本文表明,不进行LTA(低温灰化,去除煤中的有机物),SIROQUANT可以很好地估算原煤中的矿物质。该软件提供了可以减去由于非晶材料的存在而导致的背景的规定。回归图的斜率中等偏高,这表明该软件可直接定量矿物相。除了Al_2O_3(0.448),FeO具有很高的相关系数(0.846)和SiO_2(0.671)。如第10页所述。 510,第2栏,“由于SING-R煤的一个数据点,FeO回归图给出的相关系数很低,这是一个原因未知的异常数据。如果我们用剩余的数据点绘制另一个FeO回归图,R〜2增加到0846,这是相当高的。

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