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首页> 外文期刊>Remote Sensing >An Alternative Quality Control Technique for Mineral Chemistry Analysis of Portland Cement-Grade Limestone Using Shortwave Infrared Spectroscopy
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An Alternative Quality Control Technique for Mineral Chemistry Analysis of Portland Cement-Grade Limestone Using Shortwave Infrared Spectroscopy

机译:短波红外光谱分析波特兰水泥级石灰石矿物化学的另一种质量控制技术

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Shortwave infrared (SWIR) spectroscopy can be applied directly to analyze the mineral chemistry of raw or geologic materials. It provides diagnostic spectral characteristics of the chemical composition of minerals, information that is invaluable for the identification and quality control of such materials. The present study aims to investigate the potential of SWIR spectroscopy as an alternative quality control technique for the mineral chemistry analysis of Portland cement-grade limestone. We used the spectroscopic (wavelength position and depth of absorption feature) and geochemical characteristics of limestone samples to estimate the abundance and composition of carbonate and clay minerals on rock surfaces. The depth of the carbonate (CO 3 ) and Al-OH absorption features are linearly correlated with the contents of CaO and Al 2 O 3 in the samples, respectively, as determined by portable X-ray fluorescence (PXRF) measurements. Variations in the wavelength position of CO 3 and Al-OH absorption features are related to changes in the chemical compositions of the samples. The results showed that the dark gray and light gray limestone samples are better suited for manufacturing Portland cement clinker than the dolomitic limestone samples. This finding is based on the CaO, MgO, Al 2 O 3 , and SiO 2 concentrations and compositions. The results indicate that SWIR spectroscopy is an appropriate approach for the chemical quality control of cement raw materials.
机译:短波红外(SWIR)光谱可以直接用于分析原始或地质材料的矿物化学。它提供了矿物化学成分的诊断光谱特征,这些信息对于鉴定和质量控制此类材料而言非常宝贵。本研究旨在探讨SWIR光谱技术作为波特兰水泥级石灰石矿物化学分析的替代质量控制技术的潜力。我们使用石灰石样品的光谱学(波长位置和吸收特征的深度)和地球化学特征来估计岩石表面碳酸盐和粘土矿物的丰度和组成。通过便携式X射线荧光(PXRF)测量确定,碳酸盐(CO 3)和Al-OH吸收特征的深度分别与样品中CaO和Al 2 O 3的含量线性相关。 CO 3和Al-OH吸收特征的波长位置的变化与样品的化学组成的变化有关。结果表明,深灰色和浅灰色石灰石样品比白云质石灰石样品更适合制造波特兰水泥熟料。该发现基于CaO,MgO,Al 2 O 3和SiO 2的浓度和组成。结果表明,SWIR光谱法是控制水泥原料化学质量的合适方法。

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