𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The Prefactor of Fractal Aggregates

✍ Scribed by Christopher M. Sorensen; Gregory C. Roberts


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
138 KB
Volume
186
Category
Article
ISSN
0021-9797

No coin nor oath required. For personal study only.

✦ Synopsis


k 0 for simulated, three-dimensional, DLCA aggregates The prefactor k 0 of the fractal aggregate scaling relationship which are relevant to aggregates found in nature. This has N Γ… k 0 (R g /a) D f is determined for both Diffusion Limited and been accomplished, and we report this result, which agrees Diffusion Limited Cluster Aggregation processes in spatial dimenwell with our experimental work (7). However, comparison sions of 2, 3, 4, and 5. For the physically relevant case of DLCA of aggregates simulated by various aggregation algorithms aggregates in three dimensions we find k 0 Γ… 1.19 { 0.1 when representing different physical situations has led us to de-D f Γ… 1.82 { 0.04. Comparison of all aggregation types shows that velop the idea that k 0 has more than practical value. As sure the prefactor k 0 displays uniform trends with the fractal dimension as the fractal concept and the quantifiable fractal dimension D f . Attempts to explain these trends are made based on either a are fundamental descriptions of the aggregate morphology, common small N limit for all clusters or the packing of spheres in space. α­§ 1997 Academic Press so too, we believe, is the prefactor k 0 . Here we present the Key Words: fractal aggregates evidence by which we have developed this belief. We have computer synthesized random aggregates using both the Diffusion Limited Aggregation (DLA) and Diffusion Limited The clusters were generated on an IBM PC 486 personal


πŸ“œ SIMILAR VOLUMES


Fractal Aggregates of Polydisperse Parti
✍ Graeme Bushell; Rose Amal πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 778 KB

In this work we examine structural effects of particle polydispersity on fractal aggregates by performing DLCA simulations with multiple primary particle sizes. We show that the fractal structure and the form of the cutoff function that describes the gross shape of the aggregates is unaffected by th

Ordering fractal aggregates of liquid mi
✍ Peng Wei Zhu πŸ“‚ Article πŸ“… 1996 πŸ› John Wiley and Sons 🌐 English βš– 455 KB

## Abstract Mixtures of liquid paraffin and polydimethylsiloxane (PDMS) were studied by small angle X‐ray scattering. The scattering patterns exhibited a single peak in finite angles and deviated from Porod's law in larger angles. The fractal dimension of mixtures was determined by power‐law analys

Determination of the fractal dimension o
✍ F. Ehrburger-Dolle; M. Tence πŸ“‚ Article πŸ“… 1990 πŸ› Elsevier Science 🌐 English βš– 509 KB

## Letters to the Editor The aim of this work is to determine the thermal expansion coefficient (a) of mono and polycrystalline graphite at low temperature. We think that the absence of a data in this temperature range is related to the weak sensitivity of the methods used and the difficulty in ge

A Model to Describe the Settling Behavio
✍ P. Tang; J. Greenwood; J.A. Raper πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 198 KB

A model to predict fractal dimension from sedimentating fractal aggregates has been successfully developed. This model was developed using the settling rate and size data of fractal aggregates. In order to test the validity of the model, a purpose-built settling rig, equipped with lens with magnific