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Topology Optimization And Prepare Of Networks In Self-healing Composites Using NSGA-?

Posted on:2018-02-06Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:2321330536959832Subject:Instrument Science and Technology
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Because of the excellent performance,composite materials applied extensively.But in the process of manufacture and using,composite materials will inevitably produce micro cracks and other damage.Self-healing materials can be achieved by incorporate the bionics of organisms into general materials.In this paper,pipe network carriers based on resin matrix composite materials is studied.The pipe diameter of the network is optimized,and the simulation and experiment are carried out to validate it.Firstly,the epoxy resin E51(618)was used as the matrix material.The basic parameters of epoxy resin were determined by Poisson's ratio and three-point bending test.The Poisson's ratio was 0.34,the elastic modulus was 3.27 GPa,and the flexural strength was 87.12 MPa.Two objective functions void volume fraction f2(D)and head loss f2(D)are determined.The void volume fraction constrain Vlimit(5.13%)was obtained by three-point simulation,and the flow efficiency was quantified by Hardy-Cross method.On the basis of it,the network optimization mathematical model is established.It includes four kinds of basic network models: single entry single output,single input and double output,double entry and single output and double inlet and outlet.Secondly,according to the established model of pipe network,The non-dominated sorting genetic algorithm(NSGA-?)was used to optimize the pipe network model.And the variance of pipe diameter,flow rate,head loss and flow is used to select the appropriate optimization for the physical preparation.The multi-objective simulated annealing algorithm(MOSA)is used to validate the algorithm performance of NSGA-?.The results show that the Pareto optimal set can be obtained by both NSGA-? and MOSA algorithms,but the Pareto optimal solution set of NSGA-? is better and the convergence efficiency is better.Thirdly,CFD fluid simulation software Fluent was used to simulate the flow of liquid in the pipe network,and the results were compared with the optimization results.The simulation results show that the average error of flow velocity is 4.227%,5.148,9.136%,and the flow direction is exactly the same.The simulation results are in good agreement with the optimization results.Finally,the physical properties of the pipe network were prepared according to the optimization result.The void volume fraction of the pipe network,the interconnection and the epoxy resin board with the pipe network were experimentally verified.The results show that the void volume fraction of the pipe network constrains the requirement,the network is interconnected and the buried network does not degrade the performance of the matrix material.
Keywords/Search Tags:self-healing, pipe-network, genetic algorithm, finite element, flow field
PDF Full Text Request
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