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首页> 外文期刊>Journal of Composites Science >Simulative Prediction of Fiber-Matrix Separation in Rib Filling During Compression Molding Using a Direct Fiber Simulation
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Simulative Prediction of Fiber-Matrix Separation in Rib Filling During Compression Molding Using a Direct Fiber Simulation

机译:基于直接纤维模拟的模压成型中肋骨填充中纤维-基体分离的模拟预测

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Compression molding of long fiber reinforced composites offers specific advantages in automotive applications due to the high strength to weight ratio, the comparably low tooling costs and short cycle times. However, the manufacturing process of long fiber composite parts presents a range of challenges. The phenomenon of fiber matrix separation (FMS) is causing severe deviations in fiber content, especially in complex ribbed structures. Currently, there is no commercial software that is capable to accurately predict FMS. This work uses a particle level mechanistic model to study FMS in a rib filling application. The direct fiber simulation (DFS) is uniquely suited to this application due to its ability to model individual fibers and their bending, as well as the interaction amongst fibers that leads to agglomeration. The effects of mold geometry, fiber length, viscosity, and initial fiber orientation are studied. It is shown that fiber length and initial fiber orientation have the most pronounced effects on fiber volume percentage in the ribs, with viscosity and part geometry playing a smaller role.
机译:长纤维增强复合材料的压缩成型具有高强度重量比,相对较低的模具成本和较短的循环时间,因此在汽车应用中具有特殊优势。然而,长纤维复合材料零件的制造过程提出了一系列挑战。纤维基质分离(FMS)现象正在引起纤维含量的严重偏差,尤其是在复杂的肋状结构中。当前,没有能够准确预测FMS的商业软件。这项工作使用粒子级力学模型来研究肋骨填充应用中的FMS。直接纤维模拟(DFS)由于能够对单个纤维及其弯曲进行建模,以及纤维之间的相互作用导致团聚,因此特别适合该应用。研究了模具几何形状,纤维长度,粘度和初始纤维取向的影响。结果表明,纤维长度和初始纤维取向对肋中纤维体积百分比的影响最为明显,而粘度和零件几何形状的作用较小。

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