A Flow-Dependent Fiber Orientation Model

被引:11
作者
Kugler, Susanne Katrin [1 ,2 ]
Dey, Argha Protim [1 ,3 ]
Saad, Sandra [1 ,4 ]
Cruz, Camilo [1 ]
Kech, Armin [1 ]
Osswald, Tim [2 ]
机构
[1] Robert Bosch GmbH, Corp Sect Res & Adv Engn, D-71272 Renningen, Germany
[2] Univ Wisconsin, Polymer Engn Ctr, Madison, WI 53706 USA
[3] Univ Stuttgart, Inst Appl Mech, Chair Mat Theory, D-70174 Stuttgart, Germany
[4] ENSAM ParisTech, LAMPA, F-49035 Angers, France
来源
JOURNAL OF COMPOSITES SCIENCE | 2020年 / 4卷 / 03期
关键词
fiber orientation; modeling; polymer composites; SHEAR-FLOW; CLOSURE APPROXIMATIONS; SUSPENSIONS; BEHAVIOR; KINETICS; TENSORS; STARTUP;
D O I
10.3390/jcs4030096
中图分类号
TB33 [复合材料];
学科分类号
摘要
The mechanical performance of fiber reinforced polymers is dependent on the process-induced fiber orientation. In this work, we focus on the prediction of the fiber orientation in an injection-molded short fiber reinforced thermoplastic part using an original multi-scale modeling approach. A particle-based model developed for shear flows is extended to elongational flows. This mechanistic model for elongational flows is validated using an experiment, which was conducted for a long fiber reinforced polymer. The influence of several fiber descriptors and fluid viscosity on fiber orientation under elongational flow is studied at the micro-scale. Based on this sensitivity analysis, a common parameter set for a continuum-based fiber orientation macroscopic model is defined under elongational flow. We then develop a novel flow-dependent macroscopic fiber orientation, which takes into consideration the effect of both elongational and shear flow on the fiber orientation evolution during the filling of a mold cavity. The model is objective and shows better performance in comparison to state-of-the-art fiber orientation models when compared to mu CT-based fiber orientation measurements for several industrial parts. The model is implemented using the simulation software Autodesk Moldflow Insight Scandium 2019.
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页数:22
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