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© 2013 HORIBA, Ltd. All rights reserved. Mark Bumiller [email protected] The Importance of Particle Shape

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Page 1: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Mark [email protected]

The Importance of Particle Shape

Page 2: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Why is Shape Important?

Most (all?) particles are not perfectly behaving spheresShape can influence almost everything Particle processes, making products Product performance Making measurements

So in other words, shape can affect almost everything

Page 3: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Particle Processes

Powder flow; spheres flow easily, needles do notLiquid flow; increased aspect ratio will

increase viscosityPowder mixing; blend time may change

with shapeAlso VERY associated with size, hard

sometimes to separate size and shape

Page 4: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Powder Flow

Understand that spheres flow more easily than needlesHow to quantify? Need to first know

something about powder flow testingWon’t go into great detail in today’s talkJust show results including particle

shape

Page 5: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Powder Flow*

c =hopper angle

BC = outlet diameter

Angle of internal friction

*

Page 6: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Powder Flow

Unconfined Yield Strength

Major principle stress that causes an unconfined bulk material to fail in shear

Directly proportional to arching & formation of rat holes

Influences by # contact points From: Johansen, Effect of Particle Shape on

Unconfined Yield Strength, Material Flow Solutions,Inc.

Page 7: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Powder Flow*

Glass spheres CaCo3 Talc

Similar size ~ 5 µm But different shape

*Bumiller, et. al., A Preliminary Investigation Concerning the Effect of Particle Shape on a Powder’s Flow Properties, Proceeding from WCPT4, July 2002

Page 8: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Powder Flow

BC: minimum outlet diameter to prevent archingc: hopper wall angle (from verticle) to achieve mass flowCritical flow rate: predicted flow from outlet: effective angle of internal friction

Page 9: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Powder Flow*

*Podczeck & Miah, The influence of particle size and shape on the angle of internal friction and the flow factor of unlubricated and lubricated powders, International Journal of Pharmaceutics 144 (1996) 187 194

AR

Page 10: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Rheology/Viscosity

0.01 0.025 0.050Volume Fraction

Visc

osity

100 200 300 nm

Complex relationship between size/shape and rheology

More spherical shape = lower viscosity

Small particle size = higher viscosity

Wider particle size distribution = lower viscosity

spheres

cubes

fibers

Page 11: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Mixing Shape affects mobility and therefore causes

segregation Smaller effect than size Shape differences but be substantial

*Koller et. al.,Continuous quantitative monitoring of powder mixing dynamics by near-infrared spectroscopyPowder Technology, Volume 205, Issues 1–3, 10 January 2011, Pages 87–96

*

Page 12: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Powder Mixing* Ordered mixtures of powders comprising a microfine

active ingredient adsorbed onto coarser particles of an excipient offer significant advantages in the manufacture of pharmaceutical solid drug delivery systems

Lactose/calcium carbonate mixtures

•Wong & Pilpel, Effect of Particle Shape on the Mixing of Powders, J. Pham. Phamacol. 1990,42: 1-6

Page 13: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Powder MixingSt

anda

rd d

evia

tion

of c

once

ntra

tion

a achieved more slowly when mixing with shape SL and SH (higher shape coefficient) and BM and CH (lower shape coefficient)

Page 14: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Product Performance

Just as shape influences processing, also changes product performanceSome products perform better when

more sphericalGlass beads for highway paintProppants

Some products perform better when less sphericalAbrasives

Page 15: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Glass Beads for Highway Paint

Size and shape critical to reflective properties

More round = more reflectivity back to source

CAMSIZER uses b/l ratio to quantify roundness

Dry In paint

Page 16: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Defects from round particles

Oval

Satellites

Pointed

Aggregates

Glass Beads for Highway Paint

Quantified by Camsizer

Page 17: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Abrasion Mechanics

Difference in hardness between the two substances: a much harder abrasive will cut faster and deeper Grain size (grit size): larger grains

will cut faster as they also cut deeper Grain shape: sharp corners help

some mechanismsCompactness helps in others

Page 18: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Dynamic Image AnalysisBy choosing proper size parameter, Xc min, results can match historic sieve Data. Also generates shape data provenTo correlate with abrasive performance.

Page 19: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Sand: Round vs. “Edgy”

Similar in size.Shape difference seenin b/l and sphericity.Edgy would makebetter abrasive.

Sphericity

Breadth/length (b/l)

Page 20: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Other Shape ParametersPSA 300

Static Image Analysis

Page 21: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

PSA300 Calculation

Find sharp edges at the tips of the particlesCount number of tips (child count)Number of tips alone not sufficient, long

particles w/2 tips not as good as hexagon w/6 tipsDefine angularity roundness as child count

x roundnessThus triangle w/3 points less angular than

octagon of 4 sharp edges & 4 rounded edges

Page 22: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

PSA300 Calculation

Page 23: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

AbrasivesSample Vol Round Comp AR AngSmall (µm)d10 16 0.5 0.8 1.1 1.2d50 38.8 0.7 0.9 1.3 2.3d90 63.1 0.9 0.9 1.8 3.6Mediumd10 140 0.3 0.5 1.2 1d50 211.8 0.5 0.7 1.6 1.9d90 319.9 0.7 0.8 2.5 3.3Larged10 332.9 0.6 0.7 1.1 2.1d50 375.2 0.7 0.8 1.3 3.4d90 421.4 0.8 0.9 1.5 5

Angularity Roundness: count sharp tips, create child areas AR: roundness x child area

Page 24: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Catalysts Size/Shape by CAMSIZER

Spherical catalysts Easy, no special effort

Cylindrical catalystsLength, width

Bended extrudatesUse other parameters 2

min2

max )()( cFelength xxx

mincstretch x

Ax

Page 25: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Catalysts Size/Shape by CAMSIZER

Tri & quadralobePossible to distinguish

between different diametersShorter green

distribution = lengthTaller maroon

distribution= widthSize helps define

shape

Quadralobe catalysts

Trilobe catalysts

Page 26: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Proppant Packing

Page 27: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Shape Comparison

AspctRatio0.3 0.4 0.5 0.6 0.7 0.80

10

20

30

40

50

60

70

80

90

Q3 [%]Ceramic-Prop-EP-20-40-Mesh-40.rdfCeramic-Prop-SB-20-40-Mesh1.rdfCeramic-Prop-SG-V-1.rdfSand-Prop-SIB-20-40-MIS-9.rdfNatural-Brown-Sand-C-20-40.rdfWhite-Sand-Prop-UNF-20-40-17.rdfWhite-Sand-Prop-SIB-20-40-CHF-10.rdfWhite-Sand-Prop-UNF-20-40-1.rdfWhite-Sand-Prop-UNF-20-40-8.rdf

l

w

Shape comparison between natural sand proppants and ceramic proppants. There are two clearly different ranges of Aspect Ratio (Krumbein’s Sphericity). Analysis of other shape parameters are possible as well (Convexity for ceramic bead twins, Symmetry for good and broken ceramic beads, Krumbein’s Roundnessetc.)

Page 28: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Proppants

Traditional method CAMSIZER

Page 29: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Shape Effects Size Measurements

Inherent effect since light scattering instruments report equivalent spherical diameterSieve vs. laser diffraction vs. image

analysisConsider cylinder vs. sphere

=V = r2h V = 4r3

3

Sieve = 50 mmLaser = 72 mmIA = full description

Page 30: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Modeling/Predicting Differences

In particle size; choose a technique, influence the answerWell explained in this paper

Presented at the Spring Meeting of the Parenteral Drug Association in Philadelphia, June 1977

Page 31: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Modeling/Predicting Differences

Page 32: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Modeling/Predicting Differences

My sample is a rod, what will my instrument report?Coulter counter: 52 µm, laser diffraction: 81µm

Page 33: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Defining SizeMeasurement Results

xcmin

xc min

“width”

A

A‘ = A

x are

a

“diameter overprojection surface”

xarea“length”

xFe max

xFemax

CAMSIZER results are

compatible with

sieve analysis

Page 34: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

x [mm]0.1 10

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

Q3

Tinovetin-B-CA584A_BZ_xc_min_002.rdfSyngenta-1mm-2min-Sieb.ref

Width Sieving

--- width measurement

-*- Sieving

comparison

CAMSIZER-measurement xc min (red)and sieving * (black)

xcmin

xc min

“width”

Page 35: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Laser Diffraction vs. Sieves

Sieves report smaller sizeTypically 10-30% smaller

Depends on shapeOptions to correlate

Shift reported results 50% passes 325 mesh (44 µm) D50 by diffraction = 53 µm Report value @ 53 µm ads pass 325

mesh result

LA-950 correlation tools

Page 36: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Fiber: Laser Diffraction vs. Images

Note: both distributions widened by laser diffraction

length

width

Page 37: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Want to Avoid Influence of Shape?

Use image analysis ! Direct measurement of size + shapeGet not only size but also shape distribution

CAMSIZER PSA300

Page 38: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Summary

Particle shape a critical physical parameterAffects the product, the process and lab

measurementsUnderstand how shape affects your

businessUnderstand how shape influences your

measurements

Page 39: The Importance of Particle Shape - Horiba · Dynamic Image Analysis By choosing proper size parameter, Xc min, results can match historic sieve Data. ... and sieving * (black) x

© 2013 HORIBA, Ltd. All rights reserved.

Resources: www.horiba.com/particle

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