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Prediction of Elastic Constants of Carbon Fabric/Polyurethane Composites

机译:碳纤维织物/聚氨酯复合材料的弹性常数的预测

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The purpose of this work is to study a new composite material consisting of polyurethane (PU) resin and carbon fiber fabric. This PU resin is superior in impact, viscosity, low curing temperature, and short curing time. If this resin is combined with fiber fabric by vacuum assisted resin transfer method, the fabrication time will be short. Since it is a braided composite, it's important to have a model to predict the elastic constants for different braid angels. To predict the elastic constants including Young's modulus, shear modulus, and Poisson's ratio, a finite element model is established. In this model a braided layer is treated as two uni-directional layers. Then, the elastic constants of this composite with different braid angels are estimated. After that, the composites with different braid angels are fabricated and tested to obtain the elastic constants, and the comparison with the finite element results is made. The results indicate that the agreement is very good for the Young's modulus. For the Poisson's ratio, the difference between the prediction and the measurement is reasonable. From the comparison, it can be concluded that the finite element model is good. Then, this model is used to predict all in-plane elastic constants for arbitrary braid angles.
机译:这项工作的目的是研究一种由聚氨酯(PU)树脂和碳纤维织物组成的新型复合材料。该PU树脂具有优异的抗冲击性,粘度,较低的固化温度和较短的固化时间。如果通过真空辅助树脂转移方法将该树脂与纤维织物结合,则制造时间将很短。由于它是编织复合材料,因此重要的是要有一个模型来预测不同编织天使的弹性常数。为了预测包括杨氏模量,剪切模量和泊松比在内的弹性常数,建立了有限元模型。在此模型中,编织层被视为两个单向层。然后,估计具有不同编织角度的该复合材料的弹性常数。然后,制造并测试了具有不同编织角度的复合材料以获得弹性常数,并与有限元结果进行了比较。结果表明,该协议对于杨氏模量非常好。对于泊松比,预测和测量之间的差异是合理的。从比较中可以得出,有限元模型是好的。然后,该模型用于预测任意编织角的所有面内弹性常数。

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