Page 36 - Book Hosokawa Nanoparticle Technology Handbook
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1.3 PARTICLE SHAPE                                                           FUNDAMENTALS
                  nanoparticle. Quantification of particle shape is clas-  same operation is repeated. If the relation between r
                  sified roughly into the shape index which is the ratio  and  N(r) shows a straight line on log–log paper as
                  of two kinds of different definition particle diameter  shown Fig.1.3.1, the value corresponding to the incli-
                  and the other expression such as fractal dimension or  nation of this straight line is defined as the fractal
                  Fourier analysis of particle perimeter. In the case of  dimension D [6].
                  the ratio of two different definition particle diameter,                D
                  there are many similar kinds of shape indices such as           Nr()    r            (1.3.1)
                  degree of elongation (aspect ratio) major axis/minor  A high value of fractal dimension D means a rough
                  axis, degree of flatness minor axis/thickness, degree  rugged surface of a particle, and a value of fractal
                  of circular   equivalent area diameter (Heywood  dimension close to 1 means a smooth surface like
                  diameter)/equivalent perimeter diameter, degree of  spherical beads.  The fractal dimension is also
                  sphericity equivalent volume diameter/equivalent  obtained from the number of adsorbed gas molecules
                  surface area diameter [3]. In addition, unidirectional  with different adsorption area instead of a line seg-
                  maximum particle (Feret diameter)/equivalent   ment. In this method, a powder with larger surface
                  perimeter diameter are also used as a particle shape  area has higher measurement accuracy, and the aver-
                  index, and the value of the shape index of a particle  age value showing the three-dimensional shape of
                  perimeter without concave shows near unity. Each of  many particles can be obtained. Thus, this method is
                  these is a ratio of diameters of a particle, so these  effective in shape analysis of a nanoparticle.
                  shape indices are non-dimensional values and should  In the covering method, a particle projection image
                  not be influenced by the particle size. However, the  is covered with the square of r instead of a line seg-
                  perimeter and the projection area of a fine particle  ment, and the relation between the number of squares
                  have the tendency to decrease with the decrease in  containing a projection image or an outline of a parti-
                  particle size, because the resolution of a particle  cle N(r) and size r, is also used for the particle shape
                  image is getting worse. Therefore, strictly speaking,  analysis. Moreover, the turning-radius method is well
                  the shape indices are influenced by the resolution of  used to obtain the fractal dimension of an agglomer-
                  microscopic particle images.                   ate particle. In this method, the circle of a radius R is
                    In these indices, the degree of elongation or aspect  drawn from the center of an agglomerate particle, and
                  ratio is an index with which a particle expresses long  the number of the primary particles contained in the
                  and slender, and the index shows a large value for a  circle  N(R) is counted. In this method, the fractal
                  slim fiber particle. The high degree of flatness value  dimension D is obtained from the log–log plot of R
                  means flakey shape. The degree of circularity and the  and N(R) [7]. From the log–log plot of the perimeter
                  degree of sphericity are set to 1 of maximum when a  P and the projection area A of each particle, the aver-
                  particle has a spherical shape, and the index shows a  age fractal dimension of many particle perimeters
                  small value for a non-spherical particle.
                    The shape indices, expressed with ratios of two par-  3
                  ticle diameters, are divided into two categories. The  10
                  degree of elongation, the degree of flatness, etc. in the
                  one category show the overall shape of a particle, and
                  the degree of circularity and the degree of sphericity in
                  the other category show the surface roughness of a par-
                  ticle. Using the relation between two shape indices in
                  different categories, difference in particle shape can be
                  expressed more clearly in the two-dimensional figure
                  than the case using only one diameter ratio. As an exam-
                  ple of such a relation, the unidirectional maximum par-  Number of lines N(r) (−)  10 2  D = 1.134
                  ticle diameter (Feret diameter)/diameter of equivalent      3
                  particle perimeter is plotted on the horizontal axis and  2  r
                  the degree of circular is plotted on the vertical axis [4].   1

                  1.3.4 Particle shape expression by fractal dimension
                  The fractal dimension is a dimension, taking a real     Profile of precipitated calcium carbonate particle
                  numerical value, proposed by Mandelbrot [5], and is
                  also used for particle shape expression. The divider  10  −2           −1
                  method is used to measure the fractal dimension of  10               10                  1
                  particle projection image perimeters. In this method,          Opening of divider r (−)
                  the number of the polygonal lines N(r) necessary to
                  go around a particle perimeter is measured r as shown  Figure 1.3.1
                  in Fig. 1.3.1. The line of length r is changed and the  Fractal dimension measurement using divider method.

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