COMPUTER-SIMULATION OF MORPHOLOGY AND PACKING BEHAVIOR OF IRREGULAR PARTICLES, FOR PREDICTING APPARENT POWDER DENSITIES

Authors
Citation
Ln. Smith et Ps. Midha, COMPUTER-SIMULATION OF MORPHOLOGY AND PACKING BEHAVIOR OF IRREGULAR PARTICLES, FOR PREDICTING APPARENT POWDER DENSITIES, Computational materials science, 7(4), 1997, pp. 377-383
Citations number
14
Categorie Soggetti
Material Science
ISSN journal
09270256
Volume
7
Issue
4
Year of publication
1997
Pages
377 - 383
Database
ISI
SICI code
0927-0256(1997)7:4<377:COMAPB>2.0.ZU;2-U
Abstract
This paper describes a methodology for prediction of powder packing de nsities which employs a new approach, designated as random sphere cons truction (RSC), for modelling the shape of irregular particles such as those produced by water atomization of iron. The approach involves mo delling an irregular particle as a sphere which incorporates smaller c orner spheres located randomly at its surface. The RSC modelling techn ique has been combined with a previously developed particle packing al gorithm (the random build algorithm), to provide a computer simulation of irregular particle packings. Analysis of the simulation output dat a has allowed relationships to be established between the particle mod elling parameters employed by the RSC algorithm, and the density of th e simulated packings. One such parameter is eta, which is the number o f corner spheres per particle. A relationship was established between eta (which was found to have a profound influence on packing density), and the fractional density of the packing, fd. Vision system techniqu es were used to measure the irregularity of the simulated particles, a nd this was also related to eta. These two relationships were then com bined to provide a plot of fractional density for a simulated packing against irregularity of the simulated particles. A comparison was made of these simulated packing densities and observed particle packing de nsities for irregular particles, and a correlation coefficient of 0.96 was obtained. This relatively good correlation indicates that the mod els developed are able to realistically simulate packing densities for irregular particles, There are a considerable number of potential app lications for such a model in powder metallurgy (PM), process control, In combination with on-line particle image analysis, the model could be used to automatically predict powder densities from particle morpho logy.