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

机译:使用蒙特卡罗模拟和X射线计算MICROROMACTOM的基本烧结过程的表征

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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射线计算的微观图(XCMT)和Monte Carlo仿真,已经在晶粒量表中研究了玻璃粉末紧凑的烧结行为。 XCMT是一种非破坏性的3D表征技术,在我们的案例中提供了一系列的一系列形态演化的一系列3D图像,在烧结同一颗粒组中。已经可以从这些图像中提取颈部生长动力学。将该结果与新开发的蒙特卡罗方法产生的双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,该方法可以最大限度地减少包括真实表面能的非离散能量潜力以及颗粒的弹性能量。使用颗粒构型的合适随机变化,最小化能够在颗粒内定量毛细管感应应力梯度的定量,以及与该梯度相关的质量传输的统计分辨率。从实验烧结温度T开始,并使用玻璃物理性质,已经模拟了烧结动力学,并直接与从XCMT图像提取的实验数据相比。结果表明,Monte Carlo程序成功地预测了实验颈生长的进化,直到尺寸紧凑的85%。这种进化与玻璃通常预期的牛顿粘性烧结显然不同,是颗粒的粘弹性行为的特征。关于该点,由于颗粒的流变行为根本不预定,因此清楚地证明了发育的蒙特卡罗方法的兴趣,而是隐含地产生。

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