Feasibility Study: Statistical Modelling of Microstructural Variables in Particulate Filled Composite Materials
Lead Research Organisation:
Queen Mary University of London
Department Name: Sch of Mathematical Sciences
Abstract
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Publications
Bray D
(2011)
Quantifying nanoparticle dispersion: application of the Delaunay network for objective analysis of sample micrographs
in Journal of Materials Science
Bray D
(2012)
Quantifying Nanoparticle Dispersion by Using The Area Disorder of Delaunay Triangulation
in Journal of the Royal Statistical Society Series C: Applied Statistics
Bray D
(2013)
The effects of particle morphology on the analysis of discrete particle dispersion using Delaunay tessellation
in Composites Part A: Applied Science and Manufacturing
| Description | When looking at nanoparticles in some object, sometimes they are obviously well-dispersed or poorly dispersed. However, there are many cases where it is difficult to say. This project developed an objective statistic for measuring dispersion. This is particularly useful for quickly assessing many samples. |
| Exploitation Route | Our work was particularly aimed at use in composite materials. However, there is potential for use in any application that requires a quick assessment of dispersion of particles. |
| Sectors | Aerospace Defence and Marine Agriculture Food and Drink Chemicals Construction Energy Environment Healthcare Manufacturing including Industrial Biotechology Pharmaceuticals and Medical Biotechnology Security and Diplomacy Transport Other |