1. Correlation function analysis of fiber networks: Implications for thermal conductivity
- Author
-
Jorge Martinez-Garcia, Valery Shklover, Leonid Braginsky, and John W. Lawson
- Subjects
Materials science ,02 engineering and technology ,Conductivity ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,01 natural sciences ,Electronic, Optical and Magnetic Materials ,Correlation function (statistical mechanics) ,Digital image ,Thermal conductivity ,0103 physical sciences ,Heat transfer ,Highly porous ,Fiber ,Composite material ,010306 general physics ,0210 nano-technology ,Porous medium - Abstract
Transport properties of highly porous fiber structures are investigated. The fibers are assumed to be thin, but long, so that the number of interfiber connections along each fiber is large. We show that the effective conductivity of such structures can be found from the correlation length of the two-point correlation function of the local conductivities. The correlation function in the most interesting cases can be estimated from two-dimensional (2D) images of the structures. This means that the three-dimensional conductivity problem can be considered using 2D digital images of the structure. We apply this approach to analyze the parameters that determine the thermal conductivity of fiber structures.
- Published
- 2011
- Full Text
- View/download PDF