文献类型：期刊文献

英文题名：Modeling Nanoparticle Dispersion in Electrospun Nanofibers

作者：Balzer, Christopher[1];Armstrong, Mitchell[1];Shan, Bohan[1];Huang, Yingjie[2];Liu, Jichang[2];Mu, Bin[1]

机构：[1]Arizona State Univ, Sch Engn Matter Transport & Energy, Chem Engn, 501 East Tyler Mall, Tempe, AZ 85287 USA;[2]East China Univ Sci & Technol, State Key Lab Chem Engn, Shanghai 200237, Peoples R China

年份：2018

卷号：34

期号：4

起止页码：1340

外文期刊名：LANGMUIR

收录：;EI(收录号：20180604759586);WOS:【SCI-EXPANDED(收录号:WOS:000424070400012)】；

基金：This research work was financially supported by Arizona State University and the National Science Foundation (Grant Number 1748641). We also acknowledge the use of computing resources from ASU Research Computing Center.

语种：英文

外文关键词：Polymer matrix composites - Nanofibers

摘要：The quality of nanoparticle dispersion in a polymer matrix significantly influences the macroscopic properties of the composite material. Like general polymer-nanoparticle composites, electrospun nanofiber nanoparticle composites do not have an adopted quantitative model for dispersion throughout the polymer matrix, often relying on a qualitative assessment. Being such an influential property, quantifying dispersion is essential for the process of optimization and understanding the factors influencing dispersion. Here, a simulation model was developed to quantify the effects of nanoparticle volume loading (phi) and fiber-to-particle diameter ratios (D/d) on the dispersion in an electrospun nanofiber based on the interparticle distance. A dispersion factor is defined to quantify the dispersion along the polymer fiber. In the dilute regime (phi < 20%), three distinct regions of the dispersion factor were defined with the highest quality dispersion shown to occur when geometric constraints limit fiber volume accessibility. This model serves as a standard for comparison for future experimental studies and dispersion models through its comparability with microscopy techniques and as a way to quantify and predict dispersion in electrospinning polymer-nanoparticle systems with a single performance metric.