Method of quantitative analysis of filler dispersion in composite systems with spherical inclusions

被引：51

作者：

Glaskova, T. ^{[1
]}

Zarrelli, M. ^{[2
]}

Borisova, A. ^{[1
]}

Timchenko, K. ^{[1
]}

Aniskevich, A. ^{[1
]}

Giordano, M.

机构：

[1] Univ Latvia, Inst Polymer Mech, Riga, Latvia

[2] Res Natl Council CNR, Inst Composite & Biomed Mat, Portici, Italy

来源：

COMPOSITES SCIENCE AND TECHNOLOGY | 2011年 / 71卷 / 13期

关键词：

Particle-reinforced composites; Dispersion; Modeling; Probabilistic methods; Statistics; CARBON NANOTUBES; MECHANICAL-PROPERTIES; THERMAL-CONDUCTIVITY; IMAGE-ANALYSIS; NANOCOMPOSITES; REINFORCEMENT; EFFICIENCY;

D O I：

10.1016/j.compscitech.2011.06.009

中图分类号：

TB33 [复合材料];

学科分类号：

摘要：

In this work, a quantitative analysis method for the estimation of filler dispersion degree of filler particles in composite systems is presented and described. According to the procedure offered dispersion of filler particles of any form is associated with their area and the dispersion parameter D is defined as the probability to fall in a certain range of the particle area distribution. The method has been applied to both model and real systems characterized by different dispersion levels and various filler content. Final results highlight that for the case of better filler dispersion, the characteristic parameter, D, increases, since the quantity of filler particles having identical area and, accordingly, the homogeneity of the systems increase. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：1543 / 1549

页数：7

共 27 条

[1] Image segmentation by histogram thresholding using hierarchical cluster analysis [J].