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HAL Id: jpa-00211141

https://hal.archives-ouvertes.fr/jpa-00211141

Submitted on 1 Jan 1989

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Image analysis and kinetics of aggregation

Jean-François Roussel, Christian Camoin, Robert Blanc

To cite this version:

Jean-François Roussel, Christian Camoin, Robert Blanc. Image analysis and kinetics of aggrega-

tion. Journal de Physique, 1989, 50 (21), pp.3259-3267. �10.1051/jphys:0198900500210325900�. �jpa-

00211141�

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Image analysis and kinetics of aggregation

Jean-François Roussel, Christian Camoin and Robert Blanc

Laboratoire de Physique des Systèmes Désordonnés, URA 857 du CNRS, Université de

Provence, Centre de Saint-Jérome, Case 161,

avenue

de l’Escadrille Normandie-Niémen, 13397 Marseille Cedex 13, France

(Reçu le 24 avril 1989, accepté

sous

forme définitive le 10 juillet 1989)

Résumé.

2014

Dans le but d’étudier les effets du taux de cisaillement et de la concentration

en

particules

sur

la cinétique d’agrégation,

nous avons

réalisé des expériences

avec une

monocouche

de sphères macroscopiques flottant

sur un

fluide. Nous décrivons la procédure expérimentale et la

méthode d’analyse d’images que

nous avons

mise

au

point pour effectuer, de manière

automatique, les études statistiques des agrégats et leur évolution dans le temps.

Abstract.

2014

In order to study the hydrodynamic shear rate and concentration effects

on

the kinetics of aggregation,

we

have performed experiments with

a

monolayer of macroscopic spheres floating

on a

fluid. We describe the experimental procedure and the image analysis method

we

used in order to obtain, in

an

automatic way, the statistical description of the aggregates and their evolution with time.

Classification

Physics Abstracts 05.40201305.60201306.60

1. Introduction.

This paper is the first of two articles devoted to the description of results we have obtained in

a study of concentration and shear effects on the kinetics of an aggregation process. In this

work, we have studied how macroscopic spherical particles, compelled to stay in a horizontal plane, progressively build aggregates under the simultaneous action of attractive and

hydrodynamic forces. In many experimental situations, such processes, in which large aggregates are built from small particles suspended in a sheared fluid, are observed. So, it

appears interesting to try to understand the influence of the shear on the aggregation kinetics

The effect of the shear on the collision process between two particles has been studied by

various authors [1], after a first approach by Smoluchowski [2]. Generally, two limit cases are

considered : orthokinetic and perikinetic collisions, according as the Peclet’s number is much

larger or lower than one. Let us recall that this number is the ratio between Brownian and

hydrodynamic characteristic times. Then, the two limits respectively correspond to a purely hydrodynamic or a purely diffusive approach of the two particles.

In the case of interest for us, the hydrodynamic effects are fully dominant in regard to the

Brownian ones : the Peclet’s number, in our experiments, is about 101°. On the other hand, it

will be very useful to compare the hydrodynamic and attractive forces between two particles.

This point will be developed more precisely in the companion paper (referenced as [II] in the

present article). In [II], we shall describe in details the theoretical framework of our study, the

Article published online by EDP Sciences and available at http://dx.doi.org/10.1051/jphys:0198900500210325900

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3260

results of experiments we made and their interpretation. In this paper, we shall focus our

interest on the description of the experimental method with special attention on the image analysis device we used in order to follow in time, in an automatic way, the aggregation

process.

2. Description of the experiments.

The experimental apparatus has two principal parts : on one hand, a cylindrical Couette-type

cell between the cylinders of which the suspension is set and, on the other, a picture-taking

and image-analysis device. This set is shown in a schematic way in figure la.

2.1 THE SUSPENSION.

-

The suspension (Fig.1b) is made of spherical particles (B) of polypropylene (Hostallen PP) floating in pure vaseline oil (A). The spheres diameter is 2 a

=

3.17 mm, their specific mass (p = 0.8 g. Cm -3) is approximately the same as that of the vaseline oil. The viscosity of this oil is about 6 x 10-2 Pa.s at the room temperature. The set

Fig. 1.

-

Experimental device. la) S : suspension (monolayer of particules) ; E : water ; D : light

diffuser ; F : fluorescent

sources.

1b) Sectional elevation of the suspension. The polypropylene balls

(B), 3.17

mm

in diameter, float in vaseline oil (A) which has the

same

density

as

the spheres. The

monolayer is sustained by water (C).

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« oil plus spheres » floats on a volume of water (C), the role of which is to reduce the

hydrodynamic influence of the cell bottom. In the immediate neighbourhood of this latter, the hydrodynamic velocity, when the cell is rotating, is proportional to the distance R to the axis.

The water’s level has been chosen high enough so that, in the oil layer, the velocity is independent of the presence of the bottom and given by v = AR + B /R. In this last

expression, A and B depend on the radii Ri and Ro of the internal and extemal cylinders and

on their angular velocities [3].

As one can see in figure 1b, the thickness h of the oil layer is lower than the sphere

diameter. The interfaces between water and oil, on one hand, and between oil and air, on the other, are modified by the balls. This gives rise to capillary attractive forces between spheres.

When two spheres are involved these forces depend on the center to center distance

r

and on

the oil thickness :

where À is a capillary length characterizing the range of interactions [4]. In our experimental conditions, À is of the order of few sphere diameters. The amplitude A and the characteristic

length À depend on the oil thickness h. When h is about 2 millimeters, A is of the order of

10- 5 Newton which is of the same order of magnitude as the purely hydrodynamic force

between two spheres in contact in a sheared fluid [5], when the shear rate value G is 1 s 1. Indeed, taking into account the sphere diameter and the oil viscosity, such a force is given numerically by 1.3 x 10-5 G sin 2 0, where e is the angle between the centers line and the direction of the flow. Thus, acting on the oil thickness and/or the shear rate, one can easily

vary the ratio between hydrodynamic and capillary forces.

However this ratio cannot be known with accuracy as, on one hand, the given expression of

the hydrodynamic force corresponds to an infinite three dimensional fluid and, on the other,

the shear rate is not a constant between two cylinders but depends on the distance R to the axis. In order to get an approximate value for the ratio, we shall use a mean value of the shear rate between the two cylinders, defined by :

where G (R ) is the local value of the shear rate at the distance R of the axis.

Ro and R; are respectively the outer (Ro = 18 cm ) and the inner diameter (R;

=

6 cm ). The

former cylinder, made of PVC, may rotate around its vertical axis with an adjustable angular velocity, using a DC motor. The latter is made of stainless steel. The values of these radii represent a compromise between the conditions of homogeneity of the shear (relative interval (Ro - R; )/Ro as weak as possible) and those of accuracy in the statistical study of aggregates

(number of particles and, then, area between the cylinders as large as possible) for a given (and reasonnable) value of the outer radius.

In order to obtain identical wetting conditions on each wall, the cylinders were coated with

a layer of paint chosen so that repulsive forces take place between the walls and the spheres.

That way, we avoid the sticking of the spheres on the cylinders. But this repulsive effect

reduces the effective gap between the two cylinders, its actual value is about 8 cm which

corresponds to about 25 spheres diameter.

2.2 THE SOWING.

-

The initial repartition of the spheres in the oil layer has to be random

with a mean size of the aggregates as weak as possible, the ideal situation being one with all

the balls isolated. In order to achieve these conditions, it is necessary that all the spheres are

simultaneously dropped on the oil surface. For that, we use a set of two grids, each one being

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3262

a square network (mesh 8 mm) of square holes (5 x 5 mm2). One of this grid is 6 mm thick,

the other 1 mm. This latter is put under the thick grid, in contact with it, and shifted of half a mesh so that it blocks the holes of the upper grid. The spheres which are going to sow the oil layer are randomly distributed in these holes. Then, the two grids and the balls are put on the Couette cell and the thin grid is shifted so that the two networks are in coincidence : the

spheres simultaneously fall in the oil. This instant is taken as origin of time for the aggregation

process. The heigth of fall of the spheres has to be sufficiently large so that the balls sink into

the oil, giving a good wetting and then a good reproducibility of capillary forces. However, a

too high fall is to avoid as the spheres may burst into the water and get jamed at the oil-water interface. When the aggregation process takes place in a sheared fluid, the inner cylinder is rotating since a time long enough so that hydrodynamic regime is well established when the

spheres are dropped.

2.3 TAKING OF PICTURES AND DIGITIZER BOARD. - A snapshot of the state of the suspension is taken at different times, using a video-camera (vidicon type) and a microcompu-

ter with a plug-in digitizer board. This board samples the video signal given by the camera and, using an analog-digital converter, turns this signal into an integer taking a value between

0 (black) and 255 (white). So, to the image on the camera photocathode, corresponds a table

with 512 elements (pixels) on each one of the 512 lines. In other words, the image is replaced by a mosaic, each element of which is a rectangle. The ratio width/height of this rectangle is

4/3. A one-byte binary number, representative of the illumination of a pixel, is then

associated to each one of these 262 144 elements.

The camera is put on the cell, its axis vertical, at a distance such that the image of the cell

take the whole photocathode area, in order to get the maximum geometrical resolution. The cell has a translucent bottom lighted by two concentric circular luminescent tubes of 22 and 32 W. The room where this apparatus is located is dark. With these conditions, a good spheres-fluid contrast is obtained.

As we have said previously, the origin of the time for an experiment is taken when the two grids used for the sowing are put in coincidence. From this instant, the micro-computer allows

us to take and to store twenty pictures of the suspension at well defined times. The fifteen first

images are taken at regular intervals, 5 s each, this time being that of writing a digitized image

on the hard disk. The last five views are taken at exponentially growing time intervals. The last view is taken at a time equal to 12 min and 30 s. Pictures of some states of the suspension

at different times are shown in figure 2.

3. The image analysis device.

If all ideal requirements (perfectly uniform lighting, opaque spheres, very high geometrical resolution) were satisfied, one should be able to determine the number of spheres belonging

to a given cluster by simply dividing the total area occupied by the spheres in that cluster by

the area of one sphere. Actually, this method cannot be used for several reasons and, specially, on account of the inhomogeneities in the lighting and of the weak size of the spheres which, on average, occupy an area of twenty pixels. It is then necessary to proceed to a set of operations in order to isolate each aggregate and to determine how many spheres are belonging to it. But, before, the image has to undergo a numerical treatment.

3.1 NUMERICAL TREATMENT. - An image of the cell without spheres is used as a reference.

One subtracts, pixel by pixel, from that reference view, the image to treat. In principle, after

this operation, the pixels corresponding to the fluid should take the value zero. But the video

camera has an gain control adjust which keeps to a constant level the mean value of the signal

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Fig. 2.

-

Views of the aggregating suspension at different times.

given by the whole photocathode. As the mean illumination is lower for a given image than

for the reference view, the numerical value corresponding to the pixels located in the fluid is

larger when spheres are present on the view. Then, the subtraction may have a negative

result. We have reduced to zero all the negative values of these results.

Due to the existence of a liquid meniscus around each ball, the transition between the levels 0 (corresponding to the fluid far from this sphere) and that inside the sphere is not sharp but progressive. This effect is even more increased by the small size of the images of the balls on

the photocathode and also because the polypropylene is not perfectly opaque. Then, about half the pixels the level of which is influenced by the presence of the sphere are located on the periphery of that sphere. We have tightened the transition between the fluid and the balls

using a convolution. In this operation, the level of each pixel is modified, taking into account

the level of the eight surrounding pixels. If i and j are the coordinates (row and column

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3264

numbers) of a given pixel and ifp (i, j) is its level, the new value of the intensity for this pixel

after the convolution is given by :

where m and n take the values -1,0 and 1. The matrix of the k(m, n ) coefficient we used is :

Such an operation allows the tightening of the transition between two areas with different illuminations.

3.2 LOCALIZATION OF THE SPHERE CENTERS.

-

After the above treatment, one proceeds to

the localization of the centers of the spheres. With this end in view, one defines a threshold So (taken in general equal to 30) and a set of eleven particles, called

«

fictif sphere », shown in figure 3. This set has been defined taking into account the size of the balls and the aspect ratio of the pixels. In a first stage, one reads the value of the pixels from left to right and up to down. For each pixel with a level larger than So, one looks if the ten near pixels (fictif sphere

centered at the pixel under consideration) have also a level larger than So and (see below)

lower than 254. If these conditions are not satisfied, the next pixel is read. If they are, one

goes into the second stage that is the centering of one sphere. For this purpose, one adds the values of the eleven pixels. Then, one compares this sum to the three other sums obtained the

same way after a shift of the center of the fictif ball one step on the right or one step downwards or one step on the right and one downwards. That of these four points for which

the sum takes the larger value is chosen as the center of the restored sphere. One times this

choice made, one assigns to the center the value 255 and the value 254 to each one of the other

ten pixels of the fictif sphere. This way prohibits two restored spheres overlapping since, in

the first stage, one considers only pixels with a level larger than So and lower than 254.

Fig. 3. - Fictif sphere with eleven pixels.

Doing that, it is possible, in an entirely automatic way, to find the centers of at least 99.5 % of the spheres in the suspension. The weak percentage of non-recognized spheres corresponds

to particles which are not located in the plane of the suspension in consequence of bad wetting

conditions or, more often, because they are partly overlapped by their neighbours.

3.3 THE CLUSTERS.

-

When the previous operations have been performed, a catalogue of

the coordinates of the sphere centers is available. The next stage is the separation of the

aggregates one after the other, the final stage being the count in each cluster of the number of

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centers and, then, of particles belonging to it. In order to distinguish the different aggregates,

one proceeds first to a binarization of the image ; then, one uses a criterion to decide if a given pixel belongs or not to a given cluster. Due to the subtraction made at the time of the image

treatment, the pixels in correspondance with the fluid have a nul value. So, it is possible, with

a very low threshold Sl, to binarize the image, giving the value 254 to each pixel with an intensity larger or equal to Sl and a nul value for each intensity lower than that threshold. On the so-binarized image, one looks for the pixels in contact, using the following criterion : two

pixels are said in contact, i.e. belong to the same aggregate if, and only if, they have a side in

common (Fig. 4). This very simple criterion has been chosen after a comparison between the digitized images and photographic views taken at the same time. It appeared that the contacts

determined visually on the pictures and those obtained using this criterion were in very good agreement. Then, it is easy to separate the different aggregates. Therefore, it may happen, at

the end of this set of operations, that two spheres which are not trully in contact satisfy the

criterion. This makes slightly wrong the clusters statistics. But if, at a given time, two spheres

are very close each other, they come into contact after a very short time interval, so that the previous error is not important and may be interpreted as a slight error on the time when one

is interested by the kinetic aspects of the aggregation process.

Fig. 4.

-

Contact criterion. Connected pixels (CM); Non connected pixels (BB)’

In order to determine the size (that is the number of spheres) in each one of these

aggregates, one needs only to put again on the whole image the centers of the spheres with a

255 value. A count of such points in each cluster gives the number of particles it contains.

That way, the size distribution of clusters, the coordinates of all the sphere centers, their

repartition in the different aggregates are known for each view. From these data, other informations as, for instance, the geometrical dimensions of the clusters, the different mean

sizes (number-averaged mean size, mass-averaged mean size,...), their fractal dimension D,... may be obtained.

The knowledge of the fractal dimension of the aggregates will be useful in [II], in order to

know the regime (flocculation or gelation) of the growth process. To determine D, we followed the classical method : a point of the aggregate is randomly chosen as the center of a

disk of radius r and the number N (r) of sphere centers (belonging to this cluster) inside this

disk is counted for increasing r values. Doing this many times, for various centers and various aggregates, one gets a relation between the mean value of N (r) and the radius r (cf. Fig. 5)

In the log-log plot of the figure 5, D is the slope of the straight line. For aggregates growing

when no external shear is imposed to the fluid, the value obtained is D = 1.48 ± 0.05. This value is in reasonable agreement with that (1.55 ± 0.05 ) given by Allain and Cloitre [6] for

very similar experiments using the same spheres and a square box of large dimension (225 sphere diameters on the square side). These two experimental values are in rather good

agreement with that (1.51 ± 0.03 ) obtained by Ball and Jullien [7] in the numerical simulation

of the cluster-cluster aggregation with a balistic approach.

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3266

Fig. 5.

-

Log-log plot of the

mass

of the aggregates

versus

their linear size.

4. Conclusion.

We have developed an experimental method which allows us to determine, in an entirely

automatic way, from a snapshot of an aggregating suspension of spheres, the number and the size of the growing clusters. The number of particles used in these experiments is between 750 and 2 000, depending on the initial concentration of the suspension. Different experiments

are made in the same conditions : identical total number of spheres, height of fall, thickness of

the oil layer, angular velocity of the inner cylinder, temperature, the only difference being the

initial disposition of the spheres which is random. Snapshots are taken at fixed instants, the origin of time being defined in the same way for all the experiments. When the results

obtained from different views made in the same conditions and at equal times are compared,

one observes that the results are fluctuating around a mean value. This is not very surprising owing to the random initial disposition of the spheres. The relative fluctuations are all the

more important as the size of clusters under consideration is larger. In order to minimize the

influence of these fluctuations, we made numerous experiments in the same conditions. Thus,

for each value of the total number of spheres N (and then of the initial concentration of the

suspension) and of the angular velocity f2 of the inner cylinder (and then of the shear rate imposed to the aggregating suspension), we made 50 identical experiments, analysing thus

1 000 views of the suspension. Such a number of images has been studied for seven couples of

the variables N and f2. This accounts for the development of an automatic analysis. Using an

IBM PC AT micro-computer, the analysis of one image takes a time which is about 5 min.

The results we obtained by this method are developed in another paper [II].

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References

[1] DE GENNES P. G., Phys. Chem. Hydr. III 2 (1981) 31.

VAN DE VEN T. G. and MASON S. G., Colloid and Polymer Sci. 255 (1977) 468.

[2] VON SMOLUCHOWSKI M., Physik Z 17 (1916) 585.

VON SMOLUCHOWSKI M., Z. Phys. Chem. 92 (1918) 129.

[3] See, f.i. LANDAU and LIFSHITZ, Mécanique des fluides. Editions Mir, Moscou.

[4] CAMOIN C., RoussEL J. F., FAURE R. and BLANC R., Europhys. Lett. 3 (1987) 449.

[5] GOREN S. L., J. Colloid Interface Sci. 36 (1971) 94.

[6] ALLAIN C. and CLOITRE M., in Fractals in Physics. L. Pietronero, E. Tossati Eds., 283 (1986).

[7] BALL R. and JULLIEN R., J. Phys. France 45 (1984) L1031.

[II] ROUSSEL J. F., BLANC R., CAMOIN C., J. Phys. France 50 (1989) 3269.

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