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Characterisation of elementary sintering processes using Monte Carlo simulation and X-ray computed microtomography

机译:使用蒙特卡洛模拟和X射线计算机断层扫描表征基本烧结过程

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The sintering behaviour of a glass powder compact has been investigated at the grain scale using X-Ray computed microtomography (XCMT) and Monte Carlo simulation. XCMT is a non-destructive 3D characterisation technique that have provided, in our case, a series of 3D images of the morphological evolution during sintering of the same grain set. It has been possible to extract from these images the neck growth kinetics. This result has been compared to the numerical result for the two-particle system produced by a newly developed Monte Carlo methodology. Unlike other calculations based on the Potts model, this methodology minimises a non-discrete energetical potential including real surface energies as well as the elastic energy of the particles. Using suitable stochastic changes of the particle configuration, minimisation enables both the quantification of the capillary induced stress gradient within the particles, and the statistical resolution of the mass transport in relation to this gradient. Starting from the experimental sintering temperature T, and using the glass physical properties, the sintering kinetics has been simulated and directly compared to experimental data extracted from XCMT images. It is shown that the Monte Carlo procedure has succeeded in predicting the experimental neck growth evolution until 85 % of the compact density. This evolution, clearly different from a Newtonian viscous sintering that is generally expected for glasses, is instead characteristic of a viscoelastic behaviour of the particles. In regard to that point, the interest of the developed Monte Carlo methodology is clearly demonstrated since the rheological behaviour of the particle is not predetermined at all, but implicitly generated.
机译:使用X射线计算机显微断层扫描(XCMT)和蒙特卡洛模拟研究了玻璃粉末压块的烧结行为。 XCMT是一种无损3D表征技术,在我们的案例中,该技术提供了在烧结相同晶粒集期间产生的一系列形态演变的3D图像。从这些图像中可以提取出颈部生长动力学。将该结果与新开发的蒙特卡洛方法产生的两粒子系统的数值结果进行了比较。与基于Potts模型的其他计算不同,此方法将包括实际表面能以及粒子的弹性能在内的非离散能量势能最小化。通过使用适当的颗粒构型随机变化,最小化既可以量化颗粒内毛细管引起的应力梯度,也可以实现与该梯度相关的质量传递的统计分辨率。从实验烧结温度T开始,并利用玻璃的物理特性,对烧结动力学进行了模拟,并将其与从XCMT图像中提取的实验数据直接进行了比较。结果表明,蒙特卡洛方法已经成功地预测了实验颈部的生长,直到紧密密度达到85%。这种演变明显不同于通常预期用于玻璃的牛顿粘性烧结,而是颗粒的粘弹性行为的特征。关于这一点,由于粒子的流变行为根本不是预先确定的,而是隐式产生的,因此清楚地证明了发达的蒙特卡洛方法论的兴趣。

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