Description:
<jats:p>Polyvinylidene fluoride (PVDF) is a novel gel polymer electrolyte alternative
which can reduce the risk of irreversible failure in lithium-ion batteries
(LIB) [1]. PVDF matrix structures which exhibit inter-crosslinking networks
have previously demonstrated favorable thermal and mechanical properties for
LIB applications [2]. PVDF based multifunctional material is attracting a
great scientific interest due to its excellent piezoelectric, pyroelectric
and ferroelectric properties. Such as, its properties strongly depend on
synthesis procedures and obtained microstructures. In this research, porous
structure and cross-linking patterns of PVDF were prepared by
electrospinning method and it has been found that these microstructures can
have fractal structure. Fractal analysis can be used as a powerful tool for
describing structural and functional properties of these this material.
Because of that, in this research we have used different fractal methods for
the reconstructions of various PVDF microstructure morphologies. Fractal
analysis has been performed by using scanning electron microscope
micrographs and computational modeling tools. Theory of Iterated Function
Systems and Voronoi tessellation, have been used for modeling PVDF porous
structures. A Python algorithm was created to determine the distribution of
pore areas in SEM micrographs. Algorithm?s distribution of calculated pore
surface areas were compared with measured pore surface areas and fractal
reconstructions of different morphologies and their connection with
functional properties were analyzed.</jats:p>