Carbon Fiber Composites Of Mechanical And Electrical Properties Based On Finite Element

In this article Laboratory prepared carbon fiber composite material of wood is used to test carbon fiber on the mechanical properties of wood composite materials. Verified that they meet national standards, the material has good mechanical properties, damping, natural environment, etc., and has a conductivity is the electromagnetic shielding materials, a development direction. Through the different parameters of carbon fiber properties of wood composite materials, verification of carbon fiber composite reinforcement for wood materials. Both directions from the mechanical and electrical start, the finite element analysis, and use the modeling and simulation software ANSYS10.0. Analysis based on unit construction theory and electromagnetic theory and electromagnetic finite element simulation model with the experimental data were compared to verify the model's reliability and accuracy. It could play a simplified experimental procedure, to reduce material consumption and waste targets.As electronic equipment design and manufacturing process is improving daily, the focus of electronic equipment design is also resistant to electromagnetic interference technology in the experiment and production of China's electronic industry. Shielding of information for the electronic chassis or external radiation, radiation leak electromagnetic disturbances. Electromagnetic shielding is to use the shield prevent or reduce the transmission of electromagnetic energy, radiation disrupt the containment approach. This article different proportions of carbon in wood fiber composites were tested electromagnetic shielding analysis of the data, based on the use of its surface resistivity of the performance test data, current and potential distribution by the finite element modeling for electromagnetic shielding Performance Analysis of a theoretical foundation.Although the results of finite element modeling of its performance can be clear and intuitive understanding of modeling before, but can not quickly find the best model parameters. A lot of different parameters is need than the model results to judge. To reduce unnecessary comparison model, the effective parameters for the optimal model in this paper, the final chapter in the SVM algorithm by wood fiber composites and electrical properties of regression prediction, and MATLAB7.0 and Libsvm-2.6 software to experiment, due to the introduction of support vector machines thinking of structural risk minimization, making the designed network is capable of taking into account the training error and model complexity, (?)hus ensuring a good generalization ability.