THE SCALING EFFECT OF INTERFACIAL STRENGTH IN POLYMER COMPOSITES (NANOCOMPOSITES): THE FRACTAL MODEL

Author(s):  
L. B. Atlukhanova ◽  
A. K. Kasimov ◽  
G. V. Kozlov

The theoretical analysis of shearing strength of interphase layer in polymer composites (nanocomposites) was performed within the framework of fractal analysis. These theoretical estimations correspond quantitatively to known literary data, demonstrating reduction of the indicated strength at enhancement of sizes of particles (aggregates of particles) of filler, i.e. scaling effect. The structure of filler surface plays important role at this effect realization.

1989 ◽  
Vol 170 ◽  
Author(s):  
Benjamin S. Hsiao ◽  
J. H. Eric

AbstractTranscrystallization of semicrystalline polymers, such as PEEK, PEKK and PPS, in high performance composites has been investigated. It is found that PPDT aramid fiber and pitch-based carbon fiber induce a transcrystalline interphase in all three polymers, whereas in PAN-based carbon fiber and glass fiber systems, transcrystallization occurs only under specific circumstances. Epitaxy is used to explain the surface-induced transcrystalline interphase in the first case. In the latter case, transcrystallization is probably not due to epitaxy, but may be attributed to the thermal conductivity mismatch. Plasma treatment on the fiber surface showed a negligible effect on inducing transcrystallization, implying that surface-free energy was not important. A microdebonding test was adopted to evaluate the interfacial strength between the fiber and matrix. Our preliminary results did not reveal any effect on the fiber/matrix interfacial strength of transcrystallinity.


2021 ◽  
Vol 33 ◽  
pp. 1073-1081
Author(s):  
Emanuele Sgambitterra ◽  
Elio Curcio ◽  
Stefano Rodinò ◽  
Danilo Renzo ◽  
Pietro Magarò ◽  
...  

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Kai Kan ◽  
Daiki Moritoh ◽  
Yuri Matsumoto ◽  
Kanami Masuda ◽  
Masataka Ohtani ◽  
...  

2009 ◽  
Vol 2009 ◽  
pp. 1-7 ◽  
Author(s):  
Ron Coleman

This paper uses a fractal model to analyze aesthetic values of a new class of obstacle-prone or “stealthy” pathfinding which seeks to avoid detection, exposure, openness, and so forth in videogames. This study is important since in general the artificial intelligence literature has given relatively little attention to aesthetic outcomes in pathfinding. The data we report, according to the fractal model, suggests that stealthy paths are statistically significantly unique in relative aesthetic value when compared to control paths. We show furthermore that paths generated with different stealth regimes are also statistically significantly unique. These conclusions are supported by statistical analysis of model results on experimental trials involving pathfinding in randomly generated, multiroom virtual worlds.


Sign in / Sign up

Export Citation Format

Share Document