Simulation And Calculation Of The Electroosmosis Characteristics Of Graphene Filled Composite Conductive Materials

With the continuous development of graphene filled conductive composites in the field of wearable electronic devices and robots,graphene filled conductive composites with high performance and low cost have gradually become the research focus in the field of materials science.Due to the failure of precise control of the micro conducting network in the composite materials in the experimental process,the precise design of the composite materials system is difficult to achieve,but the emergence of computer simulation technology simplifies the problem,and provides detailed micro information through the simulation of the micro network in the composite materials.In this paper,we study the conductive mechanism of graphene filled polymer materials,build a Monte Carlo calculation model based on the percolation theory,design a random number generation method based on the distribution of graphene in composite materials,and build the nearest neighbor particle search algorithm and conductive path search algorithm based on k-d tree.According to the microstructure diagram of graphene in the composite,three kinds of hard core simulation models of graphene soft shell,which are circle model for comparison,square sheet and curved square sheet,are constructed respectively.The soft shell represents the tunnel effect theory,and the three-dimensional representative volume unit is filled to obtain the seepage threshold prediction model of graphene filled conductive composite.Based on the Monte Carlo model for predicting the percolation threshold of graphene filled conductive composite,this paper analyzes the correlation mechanism between the characteristic parameters of the three models and the percolation curve and threshold of the composite,and compares the differences among the three models according to the analysis of the connection nodes in the conductive network.The comparison shows that the percolation threshold of graphene filled conductive composite is simulated by using a round piece Lack of quantitative accuracy.In addition,the correctness of the model is proved by model verification and experimental verification.The results show that the prediction model of the percolation threshold of graphene composite designed in this paper can guide the optimization design of graphene composite system accurately and efficiently,and provide a theoretical basis for the realization of the filled composite with highconductivity and low cost.It has a good application prospect in the field of materials science.