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Computer aided simulation of mesoscale particles mixing for direct printable ink
Dong Hoon Oh/Nam Soo Kim
The Journal of Mechanical Science and Technology, vol. 24, no. 1, pp.297-300, 2010
Abstract : Conductivity is an important property of nano ink when considering printable electrical devices need low current loss and high frequency
application. Some of the mechanical, chemical and physical characteristics that can affect the conductivity of nano ink are contact
resistance, impurity, void volume, aspect ratio, particle shapes, and packing density. Increasing the packing density is one of the most
important factors in increasing nano ink conductivity. A computer modeling code was developed to simulate 2 dimension packing factor
(2D-PF: covered area by circle/total area of domain, %) using statistics and probability theory. The values calculated in the 2D-PF were
similar to empirical 3 dimension PF (3D-PF; volume of occupied by particles/ total volume of system, %) values. The observed volume
fraction of voids using spherical balls could be applied to printable ink. The highest 2D-PF calculated by 2D particles model simulation
was 60% (binary) when the ratio of large to small particles size was 6. The fraction of void volume was observed empirically for binary
packing systems using various ball sizes. The highest 3D-PF observed was 75.5% when the ratio of large particle to small particle was 10
and the volume fraction of small particles was 0.3. The 2D-PF results calculated using 2D computer simulation agreed with the results
found in actual experiments. This work studies the relationship of how packing-density and surface-contact affects conductivity of patterns
using printable nano inks.
Keyword : Conductivity; Printable ink; 2D Computer Simulation; 2-D 3D-PF |
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