Table of contents 1 Why is particle size important?


particle through a viscous medium, with the other particles and/or the container



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Particle Guidebook 09-2019


particle through a viscous medium, with the other particles and/or the container 
walls tending to slow their movement. Flaky or plate-like particles will orient to 
maximize drag while sedimenting, shifting the reported particle size in the smaller 
direction. A light scattering device will average the various dimensions as the 
particles flow randomly through the light beam, producing a distribution of sizes
from the smallest to the largest dimensions.
The only techniques that can describe particle size using multiple values are 
microscopy or automated image analysis. An image analysis system could 
describe the non-spherical particle seen in Figure 1 using the longest and shortest 
diameters, perimeter, projected area, or again by equivalent spherical diameter. 
When reporting a particle size distribution the most common format used even for 
image analysis systems is equivalent spherical diameter on the x axis and percent 
on the y axis. It is only for elongated or fibrous particles that the x axis is typically
displayed as length rather than equivalent spherical diameter.
DIAMETER
VERTICAL 
PROJECTION
HORIZONTAL
PROJECTION
figure 1
|
SHAPE FACTOR
Many techniques make the
general assumption that every 
particle is a sphere and report the 
value of some equivalent
diameter. Microscopy or 
automated image analysis are the 
only techniques that can describe 
particle size using multiple values 
for particles with larger aspect 
ratios.
2


Performing a particle size analysis is the best way to answer the question: 
What size are those particles? Once the analysis is complete the user has 
a variety of approaches for reporting the result. Some people prefer a single 
number answer—what is the average size? More experienced particle scientists 
cringe when they hear this question, knowing that a single number cannot describe 
the distribution of the sample. A better approach is to report both a central point of 
the distribution along with one or more values to describe the width of distribution. 
Other approaches are also described in this document.

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