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The influence of microstructure on the fracture statistics of polycrystalline diamond and polycrystalline cubic boron nitride

机译:显微组织对多晶金刚石和多晶立方氮化硼断裂统计的影响

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摘要

Flexural strength data of a number of grades of polycrystalline diamond (PCD), and polycrystalline cubic boron nitride (PCBN) were analyzed using Weibull, normal and lognormal distributions. The role of microstructure in the failure mechanism of such materials was analyzed in terms of the chosen strength distributions. The best-fit distributions were determined using the maximum log-likelihood criteria and a comparison between the best and worst fit was conducted using the Akaike Information Criteria (AIC). Both large and small specimens were tested to investigate possible volume scaling effects for these materials. The different microstructures between the two materials was shown to have an effect on the statistical strength distributions. It was found that for PCD, in general, a lognormal distribution provided a better fit than the other distributions and no specimen size effect was observed. For PCBN a significant specimen size effect was observed and this also corresponded to the data fitting to a Weibulldistribution.
机译:使用威布尔分布,正态分布和对数正态分布分析了多个等级的多晶金刚石(PCD)和多晶立方氮化硼(PCBN)的抗弯强度数据。根据所选的强度分布,分析了微观结构在此类材料破坏机理中的作用。使用最大对数可能性标准确定最佳拟合分布,并使用Akaike信息标准(AIC)进行最佳拟合和最差拟合之间的比较。大型和小型样本都经过测试,以研究这些材料可能产生的体积缩放效应。两种材料之间的不同微观结构显示出对统计强度分布有影响。已发现,对于PCD,一般而言,对数正态分布比其他分布具有更好的拟合度,并且未观察到样品尺寸的影响。对于PCBN,观察到明显的样品尺寸效应,这也与Weibull分布的数据拟合相对应。

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