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Interphase Microstructure Optimization of Carbon Fiber Reinforced Composite Materials

Author: DanQuan
Tutor: ZhouJianSheng
School: Harbin Engineering University
Course: Aircraft design
Keywords: iSIGHT Multi-objective optimization Interface phase Neighborhood cultivation genetic algorithm
CLC: TB33
Type: Master's thesis
Year: 2009
Downloads: 79
Quote: 0
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Abstract


Fiber-reinforced composite material for its high modulus , high strength , light weight, excellent mechanical properties and excellent design of modern aircraft can be the basic material , the amount has been advanced as a measure of whether an aircraft symbol . In recent years, the design and characterization of composite materials with great progress, from the micro level even meso carbon fiber composite mechanical properties of the interface phase to optimize the design caused great concern. Unlike the previous phase from the interface point of view of the bonding properties of the interface was modified neighborhood cultivate this paper genetic algorithm, the carbon fiber composite interface phase microstructures optimized design , gives a set of quantitative ideal interface phase mechanical parameters and relative geometric parameters , as well as horizontal load distribution of fibers , the main research work is as follows : 1. using the finite element software ANSYS, close-packed hexagonal representative volume elements were analyzed to determine the distribution of the fiber when optimizing select the plane stress model , the objective function for the XY shear stress . Two would Drzal phase stratified interface combined theoretical and axisymmetric cylindrical model combines study the intact state bonding stress distribution , as well as the thickness of the phase interface , the interface relative to the elastic modulus gradient on the stress distribution by this determines the optimal interface phase used in the design thickness of the layers and the elastic modulus as a design variable. Using cultured neighborhood optimization genetic algorithm , and use the resulting Pareto optimal selection method of the Pareto frontier optimal selection 3 . Implement advanced multidisciplinary optimization platform iSIGHT and general-purpose finite element analysis software ANSYS integration.

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CLC: > Industrial Technology > General industrial technology > Materials science and engineering > Composite materials
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