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Characterisation of flame-generated soot and soot-in-oil using electron tomography volume reconstructions and comparison with traditional 2D-TEM measurements

机译:使用电子体层摄影术体积重建技术表征火焰产生的烟尘和油中烟灰,并与传统2D-TEM测量结果进行比较

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摘要

This work characterises soot nanoparticles by electron tomography using Weighted Back Projection algorithm and appraises the uncertainties in two-dimensional calculations by comparison with 3D parameters for flame-generated soot and diesel soot-in-oil. Bright field TEM was used to capture 2D images of soot. Large uncertainties exist in 2D-measured morphological parameters. The flame-generated particle showed an extensive 3D structure while the soot-in-oil was notably two-dimensional. Morphological parameters of flame-generated soot and diesel soot-in-oil were different; primary particles, volume, and surface area varied significantly over the range of viewing angle, with differences as large as 60%. 2D flame-generated soot volume underestimated 3D measurements by 38%; soot-in-oil 2D and 3D-derived volumes were within 4%. 2D calculations of fractal dimension generally underestimate the 3D value.
机译:这项工作使用加权反投影算法通过电子层析成像技术对烟尘纳米颗粒进行表征,并通过与火焰生成的烟尘和柴油中的烟ot的3D参数进行比较,评估二维计算中的不确定性。明场TEM用于捕获烟灰的二维图像。在二维测量的形态学参数中存在很大的不确定性。火焰产生的颗粒显示出广泛的3D结构,而油中的烟灰则明显是二维的。火焰产生的煤烟和柴油中的油烟的形态参数是不同的。初级粒子,体积和表面积在视角范围内变化很大,差异高达60%。 2D火焰产生的烟灰体积低估了3D测量值38%;油烟尘的2D和3D衍生体积在4%以内。分形维数的2D计算通常会低估3D值。

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