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Morphological characterization of diesel soot agglomerates based on the Beer-Lambert law

机译:基于比尔-朗伯定律的柴油机烟灰团聚体的形态表征

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摘要

A new method is proposed for the determination of the number of primary particles composing soot agglomerates emitted from diesel engines as well as their individual fractal dimension. The method is based on the Beer-Lambert law and it is applied to micro-photographs taken in high resolution transmission electron microscopy. Differences in the grey levels of the images lead to a more accurate estimation of the geometry of the agglomerate (in this case radius of gyration) than other methods based exclusively on the planar projections of the agglomerates. The method was validated by applying it to different images of the same agglomerate observed from different angles of incidence, and proving that the effect of the angle of incidence is minor, contrary to other methods. Finally, the comparisons with other methods showed that the size, number of primary particles and fractal dimension (the latter depending on the particle size) are usually underestimated when only planar projections of the agglomerates are considered.
机译:提出了一种新方法,用于确定构成柴油机排放的烟尘团块的一次颗粒的数量及其分形维数。该方法基于比尔-朗伯定律,适用于高分辨率透射电子显微镜拍摄的显微照片。与仅基于团块的平面投影的其他方法相比,图像灰度级别的差异导致对团块的几何形状(在这种情况下为回转半径)更准确的估计。通过将该方法应用于从不同入射角观察到的同一附聚物的不同图像,并证明与其他方法相反,入射角的影响很小,从而验证了该方法的有效性。最后,与其他方法的比较表明,当仅考虑团聚体的平面投影时,通常会低估初级粒子的大小,数量和分形维数(后者取决于粒径)。

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