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首页> 外文会议>Leeds-Lyon Symposium on Tribology; 20000905-08; Lyon(FR) >Abrasiveness of particles measured by Cone-Fit Analysis (CFA)
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Abrasiveness of particles measured by Cone-Fit Analysis (CFA)

机译：通过圆锥拟合分析（CFA）测量的颗粒磨蚀性

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摘要

This paper presents a newly developed technique for the characterisation of abrasive particle shape. The method described is unique because it is synthesised from the classical abrasion model (proposed by Rabinowicz), where the asperities of abrasive surfaces are modelled by cones. This model is convenient because it predicts that wear rate is linearly related to load and inversely related to hardness. Kruschov provided evidence in favour of the cone paradigm by observing a highly linear relationship between the wear resistance and hardness of pure metals. Unfortunately, similar experiments with different materials do not provide equally convincing correlations. Therefore it is evident that the behaviour of most abrasive surfaces is more complex than predicted by the classical abrasion model. The initial objective of this work was to establish which types of particle, if any, possess geometrical attributes similar to cones. This was done by fitting cones to the projected boundaries of particles at different orientations and penetration depths (hence the acronym CFA for Cone-Fit Analysis). CFA has since been used to characterise particle sharpness in order to understand its role in abrasion. Due to the large statistical variation of particle shape, CFA has been computer implemented to facilitate the analysis of large particle samples. Consequently, it has been possible to make objective assessments of shape-related abrasive potential of different particle populations. CFA shows that particle asperities do not behave like cones; this conclusion is also supported by pin-on-disk experiments. Application of CFA to different sizes of silicon carbide particles suggests that these are geometrically similar; this important attribute is credited for the lack of sensitivity that wear rate demonstrates in relation to particle size.
机译：本文提出了一种新的表征磨料颗粒形状的技术。所描述的方法是独特的，因为它是根据经典的磨耗模型（由Rabinowicz提出）合成的，其中磨削表面的粗糙度是用圆锥体建模的。该模型很方便，因为它可以预测磨损率与载荷线性相关，而与硬度呈反相关。 Kruschov通过观察纯金属的耐磨性和硬度之间的高度线性关系，提供了支持圆锥范式的证据。不幸的是，使用不同材料进行的相似实验无法提供同样令人信服的相关性。因此，很明显，大多数磨料表面的行为比经典磨料模型所预测的更为复杂。这项工作的最初目的是确定哪种类型的粒子（如果有）具有类似于圆锥的几何属性。这是通过在不同方向和穿透深度将圆锥体拟合到粒子的投影边界来完成的（因此Cone-Fit Analysis的缩写为CFA）。此后，CFA已用于表征颗粒清晰度，以了解其在磨损中的作用。由于颗粒形状的统计差异很大，因此已通过计算机实施CFA，以方便分析大颗粒样品。因此，有可能对不同粒子群体的形状相关的磨料潜力进行客观评估。 CFA表明，粒子的粗糙不像圆锥一样。针上磁盘实验也支持该结论。将CFA应用于不同尺寸的碳化硅颗粒表明它们在几何形状上是相似的。该重要属性归因于磨损率相对于粒度的敏感性不足。

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