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Introduction to Particle Technology (eBook)

Martin J. Rhodes (Herausgeber)

eBook Download: EPUB
2013 | 2. Auflage
John Wiley & Sons (Verlag)
978-1-118-68154-1 (ISBN)

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Particle technology is a term used to refer to the science and technology related to the handling and processing of particles and powders. The production of particulate materials, with controlled properties tailored to subsequent processing and applications, is of major interest to a wide range of industries, including chemical and process, food, pharmaceuticals, minerals and metals companies and the handling of particles in gas and liquid solutions is a key technological step in chemical engineering.

This textbook provides an excellent introduction to particle technology with worked examples and exercises. Based on feedback from students and practitioners worldwide, it has been newly edited and contains new chapters on slurry transport, colloids and fine particles, size enlargement and the health effects of fine powders. Topics covered include:

  • Characterization (Size Analysis)
  • Processing (Granulation, Fluidization)
  • Particle Formation (Granulation, Size Reduction)
  • Storage and Transport (Hopper Design, Pneumatic Conveying, Standpipes, Slurry Flow)
  • Separation (Filtration, Settling, Cyclones)
  • Safety (Fire and Explosion Hazards, Health Hazards)
  • Engineering the Properties of Particulate Systems (Colloids, Respirable Drugs, Slurry Rheology)

This book is essential reading for undergraduate students of chemical engineering on particle technology courses. It is also valuable supplementary reading for students in other branches of engineering, applied chemistry, physics, pharmaceutics, mineral processing and metallurgy. Practitioners in industries in which powders are handled and processed may find it a useful starting point for gaining an understanding of the behavior of particles and powders.

Review of the First Edition taken from High Temperatures - High pressures 1999 31 243 – 251

'..This is a modern textbook that presents clear-cut knowledge. It can be successfully used both for teaching particle technology at universities and for individual study of engineering problems in powder processing.'   


Particle technology is a term used to refer to the science and technology related to the handling and processing of particles and powders. The production of particulate materials, with controlled properties tailored to subsequent processing and applications, is of major interest to a wide range of industries, including chemical and process, food, pharmaceuticals, minerals and metals companies and the handling of particles in gas and liquid solutions is a key technological step in chemical engineering. This textbook provides an excellent introduction to particle technology with worked examples and exercises. Based on feedback from students and practitioners worldwide, it has been newly edited and contains new chapters on slurry transport, colloids and fine particles, size enlargement and the health effects of fine powders. Topics covered include: Characterization (Size Analysis) Processing (Granulation, Fluidization) Particle Formation (Granulation, Size Reduction) Storage and Transport (Hopper Design, Pneumatic Conveying, Standpipes, Slurry Flow) Separation (Filtration, Settling, Cyclones) Safety (Fire and Explosion Hazards, Health Hazards) Engineering the Properties of Particulate Systems (Colloids, Respirable Drugs, Slurry Rheology) This book is essential reading for undergraduate students of chemical engineering on particle technology courses. It is also valuable supplementary reading for students in other branches of engineering, applied chemistry, physics, pharmaceutics, mineral processing and metallurgy. Practitioners in industries in which powders are handled and processed may find it a useful starting point for gaining an understanding of the behavior of particles and powders. Review of the First Edition taken from High Temperatures - High pressures 1999 31 243 251 "e;..This is a modern textbook that presents clear-cut knowledge. It can be successfully used both for teaching particle technology at universities and for individual study of engineering problems in powder processing."e;

Martin Rhodes holds a Bachelor's degree in chemical engineering and a PhD in particle technology from Bradford University in the UK, industrial experience in chemical and combustion engineering and many years experience as an academic at Bradford and Monash Universities. He has research interests in various aspects of gas fluidization and particle technology, areas in which he has many refereed publications in journals and international conference proceedings. Martin is on the editorial boards of Powder Technology and KONA and on the advisory board of Advanced Powder technology. Martin has a keen interests in particle technology education and has published books and CDROM on Laboratory Demonstrations and directed continuing education courses for industry in the UK and Australia. He was co-founder of the Australasian Particle Technology Society. Martin has a Personal Chair in the Department of Chemical Engineering at Monash University, Australia, where he is presently Head of Department.

1


Particle Size Analysis


1.1 INTRODUCTION


In many powder handling and processing operations particle size and size distribution play a key role in determining the bulk properties of the powder. Describing the size distribution of the particles making up a powder is therefore central in characterizing the powder. In many industrial applications a single number will be required to characterize the particle size of the powder. This can only be done accurately and easily with a mono-sized distribution of spheres or cubes. Real particles with shapes that require more than one dimension to fully describe them and real powders with particles in a range of sizes, mean that in practice the identification of single number to adequately describe the size of the particles is far from straightforward. This chapter deals with how this is done.

1.2 DESCRIBING THE SIZE OF A SINGLE PARTICLE


Regular-shaped particles can be accurately described by giving the shape and a number of dimensions. Examples are given in Table 1.1.

The description of the shapes of irregular-shaped particles is a branch of science in itself and will not be covered in detail here. Readers wishing to know more on this topic are referred to Hawkins (1993). However, it will be clear to the reader that no single physical dimension can adequately describe the size of an irregularly shaped particle, just as a single dimension cannot describe the shape of a cylinder, a cuboid or a cone. Which dimension we do use will in practice depend on (a) what property or dimension of the particle we are able to measure and (b) the use to which the dimension is to be put.

If we are using a microscope, perhaps coupled with an image analyser, to view the particles and measure their size, we are looking at a projection of the shape of the particles. Some common diameters used in microscope analysis are statistical diameters such as Martin’s diameter (length of the line which bisects the particle image), Feret’s diameter (distance between two tangents on opposite sides of the particle) and shear diameter (particle width obtained using an image shearing device) and equivalent circle diameters such as the projected area diameter (area of circle with same area as the projected area of the particle resting in a stable position). Some of these diameters are described in Figure 1.1. We must remember that the orientation of the particle on the microscope slide will affect the projected image and consequently the measured equivalent sphere diameter.

Table 1.1 Regular-shaped particles

Figure 1.1 Some diameters used in microscopy

Figure 1.2 Comparison of equivalent sphere diameters

If we use a sieve to measure the particle size we come up with an equivalent sphere diameter, which is the diameter of a sphere passing through the same sieve aperture. If we use a sedimentation technique to measure particle size then it is expressed as the diameter of a sphere having the same sedimentation velocity under the same conditions. Other examples of the properties of particles measured and the resulting equivalent sphere diameters are given in Figure 1.2.

Table 1.2 compares values of these different equivalent sphere diameters used to describe a cuboid of side lengths 1, 3, 5 and a cylinder of diameter 3 and length 1.

The volume equivalent sphere diameter or equivalent volume sphere diameter is a commonly used equivalent sphere diameter. We will see later in the chapter that it is used in the Coulter counter size measurements technique. By definition, the equivalent volume sphere diameter is the diameter of a sphere having the same volume as the particle. The surface-volume diameter is the one measured when we use permeametry (see Section 1.8.4) to measure size. The surface-volume (equivalent sphere) diameter is the diameter of a sphere having the same surface to volume ratio as the particle. In practice it is important to use the method of size measurement which directly gives the particle size which is relevant to the situation or process of interest. (See Worked Example 1.1.)

Table 1.2 Comparison of equivalent sphere diameters

1.3 DESCRIPTION OF POPULATIONS OF PARTICLES


A population of particles is described by a particle size distribution. Particle size distributions may be expressed as frequency distribution curves or cumulative curves. These are illustrated in Figure 1.3. The two are related mathematically in that the cumulative distribution is the integral of the frequency distribution; i.e. if the cumulative distribution is denoted as F, then the frequency distribution dF/dx. For simplicity, dF/dx is often written as f(x). The distributions can be by number, surface, mass or volume (where particle density does not vary with size, the mass distribution is the same as the volume distribution). Incorporating this information into the notation, fN(x) is the frequency distribution by number, fS(x) is the frequency distribution by surface, FS is the cumulative distribution by surface and FM is the cumulative distribution by mass. In reality these distributions are smooth continuous curves. However, size measurement methods often divide the size spectrum into size ranges or classes and the size distribution becomes a histogram.

Figure 1.3 Typical differential and cumulative frequency distributions

Figure 1.4 Comparison between distributions

For a given population of particles, the distributions by mass, number and surface can differ dramatically, as can be seen in Figure 1.4.

A further example of difference between distributions for the same population is given in Table 1.3 showing size distributions of man-made objects orbiting the earth (New Scientist, 13 October 1991).

The number distribution tells us that only 0.2% of the objects are greater than 10 cm. However, these larger objects make up 99.96% of the mass of the population, and the 99.3% of the objects which are less than 1.0 cm in size make up only 0.01% of the mass distribution. Which distribution we would use is dependent on the end use of the information.

1.4 CONVERSION BETWEEN DISTRIBUTIONS


Many modern size analysis instruments actually measure a number distribution, which is rarely needed in practice. These instruments include software to convert the measured distribution into more practical distributions by mass, surface, etc.

Table 1.3 Mass and number distributions for man-made objects orbiting the earth

Relating the size distributions by number, fN(x), and by surface, fS(x) for a population of particles having the same geometric shape but different size:

Fraction of particles in the size range

Fraction of the total surface of particles in the size range

If N is the total number of particles in the population, the number of particles in the size range x to x + dx = NfN(x)dx and the surface area of these particles = (x2αS)NfN(x)dx, where αS is the factor relating the linear dimension of the particle to its surface area.

Therefore, the fraction of the total surface area contained on these particles [fS(x)dx] is:

where S is the total surface area of the population of particles.

For a given population of particles, the total number of particles, N, and the total surface area, S are constant. Also, assuming particle shape is independent of size, αS is constant, and so

(1.1)

where

Similarly, for the distribution by volume

(1.2)

where

where V is the total volume of the population of particles and αV is the factor relating the linear dimension of the particle to its volume.

And for the distribution by mass

(1.3)

where

assuming particle density ρp is independent of size.

The constants kS, kV and km may be found by using the fact that:

(1.4)

Thus, when we convert between distributions it is necessary to make assumptions about the constancy of shape and density with size. Since these assumptions may not be valid, the conversions are likely to be in error. Also, calculation errors are introduced into the conversions. For example, imagine that we used an electron microscope to produce a number distribution of size with a measurement error of ±2%. Converting the number distribution to a mass distribution we triple the error involved (i.e. the error becomes ±6%). For these reasons, conversions between distributions are to be avoided wherever possible. This can be done by choosing the measurement method which gives the required distribution directly.

1.5 DESCRIBING THE POPULATION BY A SINGLE NUMBER


In most practical applications, we require to describe the particle size of a population of particles (millions of them) by a single number. There are many options available; the mode, the median, and several different means including arithmetic, geometric, quadratic, harmonic, etc. Whichever expression of central tendency of the particle size of the population we use must reflect the property or properties of the population of importance to us. We are, in fact, modelling the real population with an artificial population of mono-sized particles. This section deals with...

Erscheint lt. Verlag 25.3.2013
Sprache englisch
Themenwelt Naturwissenschaften Chemie Technische Chemie
Technik Umwelttechnik / Biotechnologie
Schlagworte Applications • Chemical • chemical engineering • Chemische Verfahrenstechnik • Controlled • Gas • Industries • Interest • Key • liquid • Major • particle • particles • Particle Technology & Product Design • particulate • Partikel (Techn.) • Partikeltechnik u. Produktentwicklung • Process • process development • Processing • Production • Properties • Range • Science • Solutions • STEP • Technik / Chemische Technik • technological • Technology • Term • Verfahrensentwicklung • wide
ISBN-10 1-118-68154-1 / 1118681541
ISBN-13 978-1-118-68154-1 / 9781118681541
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