首页> 外文期刊>Transactions of the Institutions of Mining and Metallurgy, Section B. Applied Earth Science >The influence of using automated sample preparation and pressed powder pellets on data quality when analysing iron ore samples using XRFS techniques
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The influence of using automated sample preparation and pressed powder pellets on data quality when analysing iron ore samples using XRFS techniques

机译:使用XRFS技术分析铁矿石样品时,使用自动样品制备和压粉颗粒对数据质量的影响

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摘要

The use of X-ray fluorescence spectrometry (XRFS) on fusion discs to determine Fe in iron ores provides high quality data and is widely used by iron ore producers, but is costly. This method of sample preparation eliminates mineral and particle size effects which can lead to biased results when using pressed powder pellets. For many applications, such as exploration and mining control, the method of the XRFS analysis of iron ores by pressed powder pellet probably provides data of adequate quality and this method is now used for most analyses by Kumba Iron Ore, an iron ore producer in South Africa. Automation of sample preparation procedures should improve the quality of data for Fe, K_2O and P determined by XRFS using pressed powder pellets. This study was carried out by Kumba to compare the quality of data obtained using the three different sample preparation methods and using precision as the measurement of quality. The three methods were (i) automated sample preparation, measurement on fused discs, (ii) automated sample preparation, measurement of pressed powder pellets, and (iii) manual sample preparation, measurement of pressed powder pellets. It was found, as expected, that the precision was best for the measurements on fusion discs where automation was used for sample preparation procedures. The relative standard deviations (RSDs) for these for Fe, K_2O and P were 0-074, 1-906 and 1-636% respectively. However, the XRFS data generated from the pressed powder pellets, where automation was used for sample preparation procedures, compare remarkably well against those from the auto-prepared fusion discs. The RSDs for Fe, K_2O and P for these were 0-131, 2-912 and 1-989% respectively. As expected, the poorest quality data resulted from the XRFS measurements on pressed powder pellets where manual methods only were used for sample preparation. The RSDs for Fe, K_2O and P for these were 0-194, 4-361 and 3-430% respectively. It is concluded that the analysis of iron ores by pressed powder pellet can produce acceptable quality analytical data for many applications. Also the introduction of automation for sample preparation in the iron ore analytical laboratory does improve the quality of data produced by this XRFS analytical method.
机译:在融合盘上使用X射线荧光光谱法(XRFS)测定铁矿石中的铁可提供高质量的数据,并已被铁矿石生产商广泛使用,但价格昂贵。这种样品制备方法消除了矿物和颗粒大小的影响,当使用压制粉末颗粒时,这些影响可能导致结果偏差。对于许多应用,例如勘探和采矿控制,通过压制粉末球团对铁矿石进行XRFS分析的方法可能提供了足够的质量数据,该方法现已用于南部铁矿石生产商Kumba Iron Ore的大多数分析中。非洲。样品制备程序的自动化应提高XRFS使用压粉颗粒测定的Fe,K_2O和P数据的质量。库姆巴(Kumba)进行了这项研究,以比较使用三种不同的样品制备方法并使用精度作为质量度量获得的数据质量。这三种方法是(i)自动化样品制备,在熔融圆盘上测量,(ii)自动化样品制备,粉饼压片的测量和(iii)手动样品制备,粉饼压片的测量。如所期望的,发现在自动化样品制备程序中使用融合盘进行测量时,精度最高。 Fe,K_2O和P的相对标准偏差(RSD)分别为0-074、1-906和1-636%。但是,从压制粉末颗粒产生的XRFS数据与自动制备的融合圆盘相比,在自动化过程中采用了自动化的样品制备程序。 Fe,K_2O和P的相对标准偏差分别为0-131、2-912和1-989%。不出所料,最差的质量数据是由压粉颗粒的XRFS测量得出的,其中仅使用手动方法进行样品制备。 Fe,K_2O和P的RSD分别为0-194、4-361和3-430%。结论是,通过压粉球团进行铁矿石分析可以为许多应用提供可接受的质量分析数据。铁矿石分析实验室中样品制备自动化的引入也确实提高了这种XRFS分析方法产生的数据的质量。

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