碳纤维增强聚合物复合材料在不同温度下的力学行为:实验和模型评估

G. Tefera, S. Adali, Glen Bright
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摘要

本文研究了含单向纤维的碳纤维增强聚合物材料的温度和频率效应。在测试之前,层压板在- 80、- 20、0和25°C的低温下保存60天。评估了层压板的压缩、拉伸和刚度行为。结果表明,复合材料的抗压强度、抗拉强度和抗拉模量在高温下严重恶化。这可能是由于纤维/基体界面的弱化,导致碳纤维的承载能力严重降低。较低的温度对层压板的力学性能没有显著影响。这是由于冷冻层压板的轻微变形和紧密压实的环氧链段。讨论了温度和振动对层合板的储存模量、损耗模量和阻尼性能的影响。结果证实,机械性能的降低是一种强烈依赖温度的现象。并对层压板的阻尼性能进行了评价。根据实验结果,- 80℃的持久性最强。最后,将存储模量计算结果与经验模型进行了精度比较。Gibson等人提出的模型为层压板的存储模量提供了最准确的估计。其他模型的准确性较低,并且给出了非保守估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mechanical behaviour of carbon fibre reinforced polymer composite material at different temperatures: Experimental and model assessment
In the present study, temperature and frequency effects are studied involving carbon fibre reinforced polymeric materials with unidirectional fibers. Before testing, laminates were preserved in a deep freezer at −80, −20, 0, and 25°C for 60 days. Compressive, tensile, and stiffness behaviors of the laminates were assessed. The results confirmed that the compressive strength, tensile strength, and tensile modulus of laminates severely deteriorate at high temperatures. This might happen because of the weakening of the fibre/matrix interface, resulting in the load-carrying capacity of the carbon fibre being severely reduced. Lower temperatures did not significantly affect the mechanical performance of the laminates. This is due to minor deformation of the frozen laminates and closely compacted epoxy chain segments. The effects of temperature and vibration on the storage modulus, loss modulus, and damping behaviour of laminates are discussed. The results confirm that a reduction in mechanical performance is a strongly temperature-dependent phenomenon. Laminate damping properties are also evaluated. According to the results of the experiments, −80°C has the greatest permanence. Finally, the accuracy of the results on storage modulus was compared with empirical models. The model suggested by Gibson et al. provided the most accurate estimates for the storage modulus of the laminates. Other models were less accurate and gave non-conservative estimates.
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