English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

We have investigated the fractal characteristics and shape complexity of thefracture surfaces of swelled isotactic polypropylene Y1600 in supercriticalcarbon dioxide fluid through the consideration of the statistics of the islandsin binary SEM images. The distributions of area $A$, perimeter $L$, and shapecomplexity $C$ follow power laws $p(A)\sim A^{-(\mu_A+1)}$, $p(L)\simL^{-(\mu_L+1)}$, and $p(C)\sim C^{-(\nu+1)}$, with the scaling ranges spanningover two decades. The perimeter and shape complexity scale respectively as$L\sim A^{D/2}$ and $C\sim A^q$ in two scaling regions delimited by $A\approx10^3$. The fractal dimension and shape complexity increase when the temperaturedecreases. In addition, the relationships among different power-law scalingexponents $\mu_A$, $\mu_B$, $\nu$, $D$, and $q$ have been derived analytically,assuming that $A$, $L$, and $C$ follow power-law distributions.Comment: RevTex, 6 pages including 7 eps figure

Shape complexity and fractality of fracture surfaces of swelled isotactic polypropylene with supercritical carbon dioxide