Carbon fibre textile composite for automotive applications

捷豹路虎的车身结构必须执行大量的功能，包括碰撞、NVH和耐久性属性所要求的所有功能。捷豹路虎的愿望是，所有这些属性都是使用虚拟方法(如有限元模型)进行评估的。这些模型的准确性取决于两个主要输入1.几何形状(设计的真实表示)和2.材料模型(设计加载时的反应)-要么出错，要么有重大风险(时间、成本等)碳纤维复合材料是一种高度各向异性的材料，即使在相同的标称材料等级内，每次改变纤维角度、纤维尺寸或纤维/树脂比时，实际上都会产生一种新的材料性能。为了优化这些纹理材料的使用，必须了解它们的材料特性。与采用传统的材料表征测试方法(每种材料通常需要数千英镑，需要数周时间完成，如果复合材料格式的大量变量中的任何一个发生任何变化都需要重复)不同，我们建议在微观尺度上开发材料的创新虚拟模型，然后使用这些模型来提取车辆属性模型输入所需的宏观尺度材料属性。

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.