Assessment of Analytical Orientation Prediction Models for Suspensions Containing Fibers and Spheres

Assessment of Analytical Orientation Prediction Models for Suspensions Containing Fibers and Spheres
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DOI:
10.3390/jcs5040107
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发表时间:
2021-04-01
影响因子:
3.3
通讯作者:
Bierwisch, Claas
Bierwisch, Claas
中科院分区:
其他
文献类型:
--
作者:
Dietemann, Bastien;Bosna, Fatih;Bierwisch, Claas

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解析取向模型如Folgar Tucker(FT)模型被广泛应用于预测悬浮的非球形颗粒的取向。这些模型的准确性取决于经验模型参数。在这项工作中,我们评估如何以及分析取向模型可以预测悬浮液的取向不仅包括纤维,但也有一个额外的第二种颗粒类型的磁盘的形状,这是不同的尺寸和填充分数。我们主要关注FT模型,并将其精度与更复杂的模型进行比较,如减少应变闭合模型(RSC),Moldflow旋转扩散模型(MRD)和各向异性旋转扩散模型(ARD)。在我们的工作中,我们解决以下问题。首先,FT模型能否预测悬浮液的取向,尽管额外的颗粒相影响纤维的旋转?第二,是否有可能制定一个表达式的唯一Folgar塔克模型参数的基础上的悬浮液组成?第三,选择需要调整附加模型参数的更复杂的定向预测模型是否有优势?
Analytical orientation models like the Folgar Tucker (FT) model are widely applied to predict the orientation of suspended non-spherical particles. The accuracy of these models depends on empirical model parameters. In this work, we assess how well analytical orientation models can predict the orientation of suspensions not only consisting of fibers but also of an additional second particle type in the shape of disks, which are varied in size and filling fraction. We mainly focus on the FT model, and we also compare its accuracy to more complex models like Reduced-Strain Closure model (RSC), Moldflow Rotational Diffusion model (MRD), and Anisotropic Rotary Diffusion model (ARD). In our work, we address the following questions. First, can the FT model predict the orientation of suspensions despite the additional particle phase affecting the rotation of the fibers? Second, is it possible to formulate an expression for the sole Folgar Tucker model parameter that is based on the suspension composition? Third, is there an advantage to choose more complex orientation prediction models that require the adjustment of additional model parameters?