首页> 外文期刊>International Journal of Innovative Research in Science, Engineering and Technology >PREDICTION OF ENGINEERING CONSTNATS OF CARBON T300/ EPOXY COMPOSITE USING SOFT COMPUTING
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PREDICTION OF ENGINEERING CONSTNATS OF CARBON T300/ EPOXY COMPOSITE USING SOFT COMPUTING

机译:用软计算预测碳T300 /环氧树脂复合材料的工程常数

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摘要

The present work deals with the micromechanical analysis of carbon (T300) fiber reinforced in epoxy resin whose fiber volume fraction vary from 20%???70%. A three- dimensional model with necessary boundary conditions has been developed from the unit cell of square pattern of the composite to predict the engineering constants like longitudinal young’s modulus (E1) , Transverse modulus (E2), major poisson’s ration ???12 and In-plane shear modulus (G12). The problem was modelled using ANSYS software and the results obtained from FE model was validated with the bench mark results. In this work an attempt has also been made to develop the fuzzy logic rule based model to predict the engineering constants of carbon (T300) fiber reinforced epoxy composite. From the results it was concluded that fuzzy logic model can be effectively used to predict the engineering constants of fiber reinforced composites.
机译:目前的工作涉及环氧树脂中碳纤维(T300)的微机械分析,其纤维体积分数从20%到70%不等。从复合材料的方形图案的晶胞中开发出具有必要边界条件的三维模型,以预测工程常数,例如纵向杨氏模量(E1),横向模量(E2),主要泊松比η12和In平面剪切模量(G12)。使用ANSYS软件对该问题进行了建模,并使用基准测试结果验证了从有限元模型获得的结果。在这项工作中,还尝试开发基于模糊逻辑规则的模型来预测碳(T300)纤维增强的环氧复合材料的工程常数。结果表明,模糊逻辑模型可以有效地预测纤维增强复合材料的工程常数。

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