Extrusion-based Additive Manufacturing techniques, such as Robocasting, produce continuous filaments to create layer-wise structures. The material properties of these structures depend on the orientation of suspended particles within the filament. This orientation can be predicted by analytical models, but those models do not exist for the paste specifically regarded in this work: A multicomponent paste that consists of two types of particles having either spherical and ellipsoidal shape, respectively. To improve understanding of the texture evolution within such a suspension, we use experimentally validated particle-level simulations to address the following three questions: First, how strong do the spheres affect the alignment of ellipsoids under various deformations in terms of shear and/or elongation? Second, to which extend does an analytical orientation prediction model match the numerical simulations although the model ignores the presence of spheres? Third, which means exist to improve alignment of the ellipsoids in such a multicomponent system?

基于挤出的增材制造技术（例如Robocasting）会产生连续的细丝，以创建逐层结构。这些结构的材料特性取决于长丝内悬浮颗粒的方向。可以通过分析模型来预测此方向，但是对于本工作中专门考虑的焊膏，这些模型不存在：一种多组分焊膏，由两种分别具有球形和椭球形的颗粒组成。为了更好地理解这种悬浮液中的纹理演变，我们使用经过实验验证的粒子级模拟来解决以下三个问题：首先，在剪切和/或伸长率方面，各种变形下球体对椭圆体排列的影响有多强？ ？第二，尽管分析取向预测模型忽略了球体的存在，但该模型在多大程度上与数值模拟相匹配？第三，在这种多组分系统中，存在哪些手段可以改善椭球的对齐方式？