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首页> 外文期刊>International journal of comadem >Experimental evaluation and ANN based prediction model for dynamic properties of epoxy glass fabric composites with natural rubber particle inclusions
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Experimental evaluation and ANN based prediction model for dynamic properties of epoxy glass fabric composites with natural rubber particle inclusions

机译:天然橡胶颗粒夹杂物对环氧玻璃纤维复合材料动态性能的实验评估和基于神经网络的预测模型

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摘要

Conventional materials are being replaced by composite materials due to their tailorable properties and high specific properties. In almost all the fields these materials are found in many applications. Damping is one of the important properties of the materials used in structures is to be enhanced to reduce structural vibrations. In the present work improvement of material damping of glass fabric epoxy composites with particle rubber inclusions is studied experimentally. Considerable enhancement in damping without significant reduction in stiffness is observed at lower particle size. ANN based prediction model is developed to predict these properties at a given frequency/temperature and particle size.
机译:常规材料因其可定制的特性和高比特性而被复合材料替代。在几乎所有领域中,这些材料都有许多应用。阻尼是用于结构的材料的重要特性之一,将被增强以减少结构振动。在本工作中,实验研究了含颗粒橡胶夹杂物的玻璃纤维织物环氧复合材料的材料阻尼改进。在较低的粒径下,可观察到阻尼的显着提高而刚性没有明显降低。开发了基于神经网络的预测模型,以预测给定频率/温度和粒径下的这些特性。

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