image analysis: evaluating particle shape

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© 2010 HORIBA, Ltd. All rights reserved. Image Analysis: Evaluating Particle Shape Jeffrey Bodycomb, Ph.D. HORIBA Scientific www.horiba.com/us/particle

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Dr. Jeff Bodycomb of HORIBA Particle discusses how image analysis technologies can be used to measure particle shape parameters. This presentation is archived with the original webinar video in the Download Center at www.horiba.com/us/particle.

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Page 1: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Image Analysis: Evaluating Particle Shape

Jeffrey Bodycomb, Ph.D.

HORIBA Scientific

www.horiba.com/us/particle

Page 2: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Why Image Analysis? Verify/Supplement diffraction results (orthogonal technique) Replace sieves

Need shape information, for example due to importance of powder flow

These may have the same size (cross section), but behave very differently.These may have the same size (cross section), but behave very differently.

Page 3: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Why Image Analysis? Crystalline, acicular powders needs more than

“equivalent diameter”

We want to characterize a needle by the length (or better, length and width).We want to characterize a needle by the length (or better, length and width).

Page 4: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Why Image Analysis Pictures: contaminants, identification, degree of

agglomeration Screen excipients, full morphology Root cause of error (tablet batches), combined

w/other techniques Replace manual microscopy

Page 5: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Why Shape Information?

Evaluating packingEvaluate flow of particlesEvaluate flow around particlesRetroreflection (optical properties)Properties of particles in aggregate

(bulk)

Page 6: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Effect of Shape on Flow Yes, I assumed density doesn’t matter. Roundness is a measure based on particle

perimeter.

cc

Page 7: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Major Steps in Image Analysis

Image Acquisitionand enhancement

Object/Phase

detection

Measurements

Page 8: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Dynamic:particles flow past camera

Static:particles fixed on slide,stage moves slide

1 – 3000 microns0.5 – 1000 microns2000 microns w/1.25 objective

Two Approaches

Page 9: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Size Parameters -> Shape Parameters

Shape parameters are often calculated using size measures

Page 10: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Size Parameters

FeretMax (length)Perpendicular to Max (width)Min (width)Perpendicular to Min (main length)

AreaCircular DiameterSpherical Diameter

PerimeterConvex Perimeter

Page 11: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Ferets Size as measured with a caliper Result depends on orientation of caliper

MinMaxPerpendicular to MinPerpendicular to Max

to Max

Mi

n

to Min Max

Page 12: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Area (Circular Diameter)

Count pixels to find area of particle

Convert to circle with equivalent area

Diameter

same AREAsame AREA

Area

2

Page 13: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Perimeter, Convex Perimeter

Perimeter follows exact contours of object

Convex perimeter is like a rubber band.

Page 14: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Shape Descriptors

aspect ratioroughnessroundnesssphericity

Page 15: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Shape Using a Chart

Krumbein, Journal of Sedimentary Petrology, vol 11, no 2, pp 64-72, plate 1, August, 1941Krumbein, Journal of Sedimentary Petrology, vol 11, no 2, pp 64-72, plate 1, August, 1941

Page 16: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

A different chart

Compare particles to a chart like the one below.

Round cornersRound corners

Overall shape like a sphere

Overall shape like a sphere

Page 17: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Aspect Ratio

Length of longest Feret over Length of shortest Feret

Longest Feret over Feret perpendicular to longest Feret

Feret perpendicular to shortest Feret over shortest Feret

Or their reciprocal!

Nice measure of deviation from roundness. Is not profoundly affected by bumps on particle surface.

Measures “large scale shape”

Page 18: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Aspect ratios of square

1

1

Fe Max is diagonal: 1.414Fe Max is diagonal: 1.414

Perp to Fe Max is diagonal: 1.414Perp to Fe Max is diagonal: 1.414

Fe Min is 1Fe Min is 1

Fe Max / Fe Min = 1.414/1 = 1.414Fe Max / Fe Min = 1.414/1 = 1.414

Fe Max / Perp to Fe Max = 1.414/1.414 = 1Fe Max / Perp to Fe Max = 1.414/1.414 = 1

Perp to Fe Min / Fe Min = 1/1 = 1Perp to Fe Min / Fe Min = 1/1 = 1

Page 19: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Salt Shape in Aluminum Foam

NaCl is used to manufacture aluminum foams as a filler. The NaCl is subsequently dissolved away to leave a porous structure.

The shape and size of the NaCl affects the foam structure and the final properties of the foam.

C. Gaillard, J. F. Despois and A. MortensenProcessing of NaCl powders of controlled size and shape for the microstructural tailoring of aluminium foams Materials Science and Engineering AVolume 374, Issues 1-2, 15 June 2004, Pages 250-262

C. Gaillard, J. F. Despois and A. MortensenProcessing of NaCl powders of controlled size and shape for the microstructural tailoring of aluminium foams Materials Science and Engineering AVolume 374, Issues 1-2, 15 June 2004, Pages 250-262

Image courtesy of Wikimedia Commons User StehfunImage courtesy of Wikimedia Commons User Stehfun

Page 20: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

NaCl Shape

HORIBA Application Note AN189: size and Shape Analysis of Salt using Dynamic Image AnalysisHORIBA Application Note AN189: size and Shape Analysis of Salt using Dynamic Image Analysis

Page 21: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Glass beads for reflective pavement marking

Beads must be round to reflect light back to driver. Check aspect ratio of each particle, fail if too many

particle have a value that is too low.

HORIBA Application Note AN140: Particle size and Shape analysis of glass beads for pavement markingsHORIBA Application Note AN140: Particle size and Shape analysis of glass beads for pavement markings

Aspect ratio 0.5051Aspect ratio 0.5051

Aspect ratio 0.9660Aspect ratio 0.9660

Page 22: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Acetaminophen (API)

Page 23: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Roughness

Jaggedness of edges

Short scale. Roughness is sensitive to bumps on surface

As surface has more concavities, the convex perimeter increases and therefore roughness decreases

Perimeter

meterConvexPeri

Page 24: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Roundness

As particle becomes circular, value approaches one.

2)(

)(4

FeMaxLength

Area

Length

Page 25: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Roundness of metal particles Metal particles are used for powder metallurgy Round particles flow better (e.g., during injection

molding) and provide stronger partsLow quality nickel alloy powder. Note the small fraction of very round particlesLow quality nickel alloy powder. Note the small fraction of very round particles

HORIBA Application Note AN164: Particle Size and Shape Analysis of Metal PowdersHORIBA Application Note AN164: Particle Size and Shape Analysis of Metal Powders

Page 26: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Pharmaceutical Globules

Spheres from sugar are often used. Shape matters for future process steps

incorporation or coating of API’sFlow through dispensers

HORIBA Application Note AN140: Particle size and Shape analysis of glass beads for pavement markingsHORIBA Application Note AN140: Particle size and Shape analysis of glass beads for pavement markings

Page 27: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Acetaminophen (API)

Page 28: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Sphericity

As particle becomes spherical, value approaches one.

More sensitive to small scale bumps that increase perimeter than roundness.

2)(

)(4

Perimeter

Area

Page 29: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Circularity, Sphericity, Perimeter, Diameter

area of the particle

perimeter of the particle

circle with same area as particle

diameter of circle of same area

Circularity = perimeter of circle / perimeter of particle

Sphericity = Circularity2 =

Agreen ~ 77 pixel, diameterred = 10 pixel, perimetergreen ~ 38,5 pixel, circularity ~ 31 / 38,5 = 0.81, sphericity = 4 * π * 77 / (38.5)2 = 0.812 = 0.65

2

4

P

A

Aparticle is inside of

particle perimeter

Page 30: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Proppants

Hold open cracks in oils wells to allow oil to flow to well (Hydraulic Fracturing).

Sand is one example of a proppant High roundness and sphericity leads to better

permeability. ISO/DIS 13503-2 recommended sphericity

and roundness of 0.6 or greater, 0.7 for high strength materials.

Note that these definitions of sphericity and roundness are different from, but related to the one’s used in this talk.

Page 31: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Distributions

Just like size, many particle samples have a distribution of shapes.

Sometimes a distribution of shapes is desirable. For example, according to the USGA, sand that is highly uniform in size and shape tends to be less stable. Therefore, sand with a variety of grain sizes and shapes is better for use in sand traps.

http://www.usga.org/course_care/articles/construction/bunkers/How-to-Select-the-Best-Sand-for-Your-Bunkers/http://www.usga.org/course_care/articles/construction/bunkers/How-to-Select-the-Best-Sand-for-Your-Bunkers/

Page 32: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Size- & Shape ResultsMeasurement Results

shape

• shape + shape distribution

- shape by size

- amount by shape

shape

size

amount

• size + size distribution

- amount by size

Page 33: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

SortingRoughness, “too rough” is redRoughness, “too rough” is red

Roundness, not round enough is greenRoundness, not round enough is green

Page 34: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Particle Shape: Amounts in a Mixture

Measurement Results

b/l0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.90

10

20

30

40

50

60

70

80

90

Q3 [%]AK_22,15g_0,3%_BZ_LB_n Ü_xc_min_001.rdfIA_22,15g_0,3%_BZ_LB_n Ü_mit Aerosil_xc_min_001.rdfIA + AK_je 22,15g_0,3%_BZ_LB_n Ü_als Mischung_xc_min_001.rdf

Graph of measurement results:C:\...h-3jhwpyax\Camdat\Messungen 030603\AK_22,15g_0,3%_BZ_LB_n Ü_xc_min_001.rdfTask file: RT 502 IA_BZ_LB_0,7%_R40-Trocknung_.afg

B

A

80

90

Q3 [%]

A B A + B

B A

Page 35: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Particle Shape:

Amounts in a Mixture

32.8%

67.2%

xFe max

xc min

Measurement Results

Q3 (round particles) =

Page 36: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

The HORIBA PSA300

Turnkey SystemMore time getting results and less time

engineering Automated

FasterLess operator laborLess operator bias

Powerful Software FeaturesImage EnhancementParticle separation

Separate Disperser OptionMore flexible sample preparation

Page 37: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Static or Dynamic Image Analysis?

DynamicBroad size distributions (since it is easier to obtain

data from a lot of particles)Samples that flow easily (since they must be

dropped in front of camera)Samples tumble so sometimes you see more

orientationsPowders, pellets, granules

StaticSamples that are more difficult to disperse (there

are more methods for dispersing the samples)Samples that are more delicatePastes, sticky particles, suspensions

Page 38: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Conclusions

Image Analysis is good for SizeShapeSupplementing other techniques

Shape Analysis is the next step beyond sizeChoice of parameters is very application

dependent.

Page 39: Image Analysis: Evaluating Particle Shape

© 2010 HORIBA, Ltd. All rights reserved.

Questions?

www.horiba.com/us/particle

Jeffrey Bodycomb, [email protected]

866-562-4698