| 43188 |
Creator |
c3baa1aae2495d9fcf383c433b46bfe0 |
| 43188 |
Creator |
ext-82577e20d023775f7ebb93a195313bba |
| 43188 |
Creator |
ext-595018edbe4fd0b306c48c1d58c30671 |
| 43188 |
Creator |
ext-9d41e765e4c5ec98d9dff0f1ddb86545 |
| 43188 |
Creator |
ext-d1bb835b229fc3281b317e0827bfb724 |
| 43188 |
Date |
2012-04-12 |
| 43188 |
Is Part Of |
repository |
| 43188 |
Is Part Of |
p15685616 |
| 43188 |
abstract |
Fine powder flow is a topic of great interest to industry, in particular for the pharmaceutical
industry; a major concern being their poor flow behavior due to high cohesion. In
this study, cohesion reduction, produced via surface modification, at the particle
scale as well as bulk scale is addressed. The adhesion force model of Derjaguin-Muller-Toporov
(DMT) was utilized to quantify the inter-particle adhesion force of both pure and
surface modified fine aluminum powders (∼8 μm in size). Inverse Gas Chromatography
was utilized for the determination of surface energy of the samples, and Atomic Force
Microscopy was utilized to evaluate surface roughness of the powders. Surface modification
of the original aluminum powders was done for the purpose of reduction in cohesiveness
and improvement in flowability, employing either silane surface treatment or dry mechanical
coating of nano-particles on the surface of original powders. For selected samples,
the AFM was utilized for direct evaluation of the particle pull-off force. The results
indicated that surface modification reduced the surface energy and altered the surface
nano-roughness, resulting in drastic reduction of the inter-particle adhesion force.
The particle bond number values were computed based on either the inter-particle adhesion
force from the DMT model or the inter-particle pull-off force obtained from direct
AFM measurements. Surface modification resulted in two to three fold reductions in
the Bond number. In order to examine the influence of the particle scale property
such as the Bond number on the bulk-scale flow characterization, Angle of Repose measurements
were done and showed good qualitative agreements with the Bond number and acid/base
surface characteristics of the powders. The results indicate a promising method that
may be used to predict flow behavior of original (cohesive) and surface modified (previously
cohesive) powders utilizing very small samples. |
| 43188 |
authorList |
authors |
| 43188 |
issue |
4-5 |
| 43188 |
status |
peerReviewed |
| 43188 |
uri |
http://data.open.ac.uk/oro/document/335246 |
| 43188 |
uri |
http://data.open.ac.uk/oro/document/335247 |
| 43188 |
uri |
http://data.open.ac.uk/oro/document/335248 |
| 43188 |
uri |
http://data.open.ac.uk/oro/document/335249 |
| 43188 |
uri |
http://data.open.ac.uk/oro/document/335250 |
| 43188 |
uri |
http://data.open.ac.uk/oro/document/335251 |
| 43188 |
uri |
http://data.open.ac.uk/oro/document/335332 |
| 43188 |
volume |
25 |
| 43188 |
type |
AcademicArticle |
| 43188 |
type |
Article |
| 43188 |
label |
Jallo, Laila J.; Chen, Yuhua; Bowen, James ; Etzler, Frank and Dave, Rajesh (2012).
Prediction of inter-particle adhesion force from surface energy and surface roughness.
Journal of Adhesion Science and Technology, 25(4-5) pp. 367–384. |
| 43188 |
label |
Jallo, Laila J.; Chen, Yuhua; Bowen, James ; Etzler, Frank and Dave, Rajesh (2012).
Prediction of inter-particle adhesion force from surface energy and surface roughness.
Journal of Adhesion Science and Technology, 25(4-5) pp. 367–384. |
| 43188 |
Title |
Prediction of inter-particle adhesion force from surface energy and surface roughness |
| 43188 |
in dataset |
oro |