1803 パーコレーション理論によるCNT分散溶液伸張時の導電率予測(OS18-1 ナノ・マイクロ流体のダイナミクス,オーガナイズドセッション)

概要

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Carbon nanotubes (CNTs) have great properties of thermal, mechanical and electronic. It is important to control the alignment of CNTs for optimized electric property. There is an effective method to control alignment of CNTs in polymer composite with a stretching flow. In this study, a computational model with a particle simulation method and a percolation analyses is proposed to predict the conductivity of the CNT/polymer composite in a stretching flow. The CNT is modeled with an array of sphere particles and arrays networks are searched for the percolation analyses. Aspect ratios, number of CNTs and orientation ratios are controlled to evaluate this model. This computational model can calculate the relationship between the orientation of CNTs and the conductivity capability are discussed.
一般社団法人日本機械学会の論文
2010-10-29