Carbon fibre textile composite for automotive applications

捷豹路虎的车身结构必须具备多种功能，包括碰撞、NVH和耐用性等。捷豹路虎的目标是使用虚拟方法（例如有限元模型）来评估所有这些属性。这些模型的准确性取决于两个主要输入：1。几何（设计的真实表现）& 2。材料模型（设计在加载时的反应）——任何一个出错都会带来重大风险（时间、成本等）。碳纤维复合材料是一种高度各向异性的材料，每当纤维角度，纤维尺寸或纤维/树脂比发生变化时，即使在相同的标称材料等级内，也会有效地产生新的材料性能。为了优化这些纺织材料的使用，必须了解它们的材料特性。我们建议在微观尺度上开发材料的创新虚拟模型，然后使用这些模型提取车辆属性模型输入所需的宏观尺度材料属性，而不是采用传统的测试和测量方法来进行材料表征（通常每种材料花费数千英镑，需要数周时间才能完成，如果复合材料格式中的任何大量变量发生任何变化，则需要重复测试）。

A JLR body structure must perform a significant number of functions including all of thoserequired for crash, NVH & durability attributes. JLR aspiration is that all of these attributesare assessed using virtual methods e.g. finite element models. The accuracy of these modelsdepends on 2 main inputs 1. Geometry (a true representation of the design) & 2. Materialmodels (how the design responds when loaded) - get either wrong & significant risk (timing,cost etc.) is added into a programme.Carbon Fibre Composites are a highly anisotropic material where effectively a new materialproperty is created every time a fibre angle, fibre size or fibre/resin ratio is changed, evenwithin the same nominal material grade. In order to optimise the usage of these textilematerials, their material properties must be understood.Rather than adopting a traditional test & measure approach to materials characterisation(which typically costs thousands of pounds per material, takes weeks to complete, and needsto be repeated if there is any change to any of the vast number of variables in the format ofthe composite material), we propose developing innovative virtual models of the material atthe micro-scale and then using these models to extract the macro-scale material propertiesrequired for vehicle attribute model inputs.