形状記憶ポリマ粒子含有インテリジェントマテリアルの剛性解析 : 第2報,ガラス転移点分布と形状回復ひずみを考慮した巨視的弾性係数の定式化

概要

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In the previous study, micromechanical modeling of an intelligent material containing shape-memory polymer particles was performed by taking into consideration of distributions of glass-transition temperature T_g of particles. The macroscopic elastic modulus of the material E could be formulated successfully as a function of the differences of shear modulus and bulk modulus between particle and matrix, and the numerical results of E were reasonable irrespective of T_g distributions of particles. In this study, by considering not only T_g distribution of particles but also pre-strain which is given to a particle a priori and corresponds to the shape recovery strain of the particle, micromechanical analysis of same intelligent material as before is performed on the macroscopic elastic modulus. In modeling, thermal expansion strain due to mismatch between coefficients of thermal expansion of a particle and a matrix is also considered. By analyzing the model, the macroscopic elastic modulus can be expressed in terms of the shape recovery strain of particles and thermal expansion strain in addition to T_g distribution function.
社団法人日本機械学会の論文
2002-02-25