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Elemental Mapping of Silicone Rubber Composites by Laser-induced Breakdown Spectroscopy (LIBS)

机译:硅橡胶复合材料的激光诱导击穿光谱(LIBS)的元素映射

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Elemental mapping of 2D and 3D surface distributions of inorganic filler in silicone rubber composites were obtained to analyze the information on the types and locations of the agglomerates. The elemental mapping of surface distribution in the samples were plotted by selecting the characteristic line strength of the elements, such as C, O, Al, Na, K, etc. Compared with the distribution of O and the accumulation of Al, the location of ATH filler and Al2O3 particles can be characterized by the spectral line intensity distribution of Al. The identification of the agglomerates was confirmed with SEM/EDS. In addition, the surface distribution of Na is similar to K, which reflect the locations of contamination on the surface of the sample. This indicates that the 2D element mapping by LIBS can characterize the distribution of insulator contamination. On the basis of the strong linear relationship between the number of laser pulse bombardment and the depth of ablation, The 3D spatial information was obtained by continuously accumulating the intensity distribution of a single bombardment. The content and locations of Al abruptly decay and eventually stabilize with the increase of the depth of ablation. Finally, before and after ablation of the morphology were compared by the SEM/EDS. The lower the content of ATH filler, the more ablated the bottom of the ablation pit. LIBS has a great advantage in scanning speed and scanning area comparing to EDS/SEM. The obtained elemental images provide a valuable basis for further interpretation.
机译:获得了硅橡胶复合材料中无机填料的2D和3D表面分布的元素图,以分析有关附聚物类型和位置的信息。通过选择C,O,Al,Na,K等元素的特征线强度来绘制样品中表面分布的元素图。与O的分布和Al的积累相比,Al的位置ATH填充和Al \ n 2 \ nO \ n 3 \ n粒子可以通过Al的光谱线强度分布来表征。用SEM / EDS确认了附聚物的鉴定。此外,Na的表面分布与K相似,这反映了样品表面上污染物的位置。这表明通过LIBS进行的2D元素映射可以表征绝缘子污染的分布。基于激光脉冲轰击的次数与消融深度之间的强线性关系,通过连续累积单个轰击的强度分布来获得3D空间信息。随着烧蚀深度的增加,Al的含量和位置突然衰减并最终稳定。最后,通过SEM / EDS比较了消融前后的形态。 ATH填料的含量越低,消融坑底部的剥蚀越多。与EDS / SEM相比,LIBS在扫描速度和扫描面积方面具有巨大优势。获得的元素图像为进一步解释提供了有价值的基础。

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