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Permeability Analysis of Natural and Artificial Fiber Textiles for Liquid Composite Molding Process

机译:液体复合成型工艺天然和人造纤维纺织品的渗透性分析

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In liquid composite molding (LCM) processes a catalyzed resin is forced to flow through a dry fibrous preform, opportunely arranged within a mold. The pressure gradient, positive or negative depending on the particular process, drives the uncured liquid flow at a flow rate which relies on fluid viscosity and preform porosity and permeability. Nowadays, sustainability reasons are pushing the market to the wider usage of natural fibers, such as hemp, jute, flex among others, as an interesting alternative to traditional glass and carbon artificial textiles. This manuscript describes an experimental/numerical approach to analyze the preform permeability and the impregnation flow in the LCM process using different textiles, based on glass, carbon and natural fibers. Unidirectional flow tests were performed using a laboratory scale LCM setup, constituted by a sensed mold in order to dielectrically monitor impregnation and saturation flows. The position of the unsaturated flow front was detected also by means of a camera monitoring the resin flow though milled eyelet sealed using transparent material. The permeability was also numerically inferred using the FlowTex software for all the investigated cases. Numerical and experimental outcomes were finally compared and discussed.
机译:在液体复合成型(LCM)中,工艺将催化的树脂被迫流过干燥的纤维预制件,机会布置在模具中。压力梯度,阳性或负取决于特定过程,以依赖于流体粘度和预成型孔隙率和渗透性的流速驱动未固化的液体流动。如今,可持续性原因正在推动市场对天然纤维的更广泛使用,如大麻,黄麻,弯曲等,作为传统玻璃和碳人工纺织品的有趣替代品。该稿件描述了使用不同纺织品的基于玻璃,碳和天然纤维来分析PRCM工艺中的预制件渗透性和浸渍流动的实验/数值方法。使用由所感测模具构成的实验室刻度LCM设置进行单向流动测试,以便介电监测浸渍和饱和流。通过使用透明材料密封的铣削孔眼的相机,也通过监测树脂流量的相机检测不饱和流程前面的位置。使用Flowtex软件对于所有研究病例,还在数值上推断出渗透性。最终比较数值和实验结果和讨论。

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