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Influence of Textile Parameters on the In-Plane Permeability Characteristics of Non-Crimped Fabric Preforms

机译:纺织品参数对非卷曲织物预型件的面内渗透性的影响

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摘要

Material parameters such as the permeability of dry reinforcing textiles are key variables for modern composite production using liquid composite molding (LCM) technique. Nowadays numerical filling simulations are required for predicting the mold filling behavior. Inaccurate predictions can lead to a high risk of air inclusion and corresponding need for cost-intense revision of the mold design. Permeability values of the textiles used in the process are basic requirements for a numerical filling simulation, since the permeability is directly linked to the filling behavior. Nevertheless, the permeability values of non-crimped fabrics (NCF) which are used for aerospace and automotive structures are rare. In this study the influence of textile parameters of NCF on the in-plane permeability has been investigated using a capacitive in-plane permeability measurement technology. The results show the influence of the roving filament number as well as the used stitch length on the in-plane permeability. It is confirmed that the textile grammage is not affecting the in-plane permeability of NCF reinforcements. The results of this study are valuable for textile selection with specific permeability data as well as for numerical filling simulations. (C) 2015 Society of Plastics Engineers
机译:材料参数(例如干增强纺织品的渗透性)是使用液体复合材料成型(LCM)技术进行现代复合材料生产的关键变量。如今,需要数字填充模拟来预测模具填充行为。不正确的预测会导致空气夹杂的高风险,并需要对模具设计进行成本密集的修改。该过程中使用的纺织品的渗透率值是数值填充模拟的基本要求,因为渗透率与填充行为直接相关。然而,用于航空航天和汽车结构的非卷曲织物(NCF)的渗透率值很少。在这项研究中,已经使用电容性平面内磁导率测量技术研究了NCF的纺织参数对平面内磁导率的影响。结果表明粗纱数量以及所使用的线迹长度对面内渗透率的影响。可以确定的是,织物的克重不影响NCF增强材料的面内渗透性。这项研究的结果对于具有特定渗透性数据的纺织品选择以及数值填充模拟非常有价值。 (C)2015年塑料工程师学会

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