Students will be able to:

correctly use all concepts related to the size and shape of particles, grains and pores,

correctly interpret size distributions of particles, grains and pores based on the statistics of small particles,

understand the relations between particles, disperse systems and granular microstructures,

use the correct terminology for the presentation of results and understand the theoretical fundamentals of common characterzation methods for particles and microstructures to the degree necessary to take full advantage of the current special literature in the field,

make qualified choices of suitable methods for the characterization of particles, disperse systems and the microstructure of heterogeneous materials, including porous materials, and correctly use these methods,

correctly apply stereological relations for the quantitative characterization of microstructures and integral transformations for correcting the random section problem when determining size distributions.

In order to become eligible for classification the student has to pass a written qualification test. The final exam is oral and concerns the content of the whole lecture course.

B - Allen T.: Particle Size Measurement (two volumes, fifth edition). Chapman & Hall, London 1997. (ISBN 0-412-75350-2).

B - van de Hulst H. C.: Light Scattering by Small Particles. Dover, New York 1981. (ISBN 0-486-64228-3). (NTK)

B - Xu R.: Particle Characterization - Light Scattering Methods. Kluwer Academic Publishers, Dordrecht 2000. (ISBN 1-4020-3-0357-9).

B - Gregg S. J., Sing K. S. W.: Adsorption, Surface Area and Porosity (second edition). Academic Press, London 1982. (ISBN 0-12-300956-1).

B - Russ J. C., Dehoff R. T.: Practical Stereology (second edition). Kluwer Academic, New York 2000. (ISBN 0-306-46476-4).

1. Introduction – particle size and shape

2. Statistics of small particles

3. Sedimentation analysis

4. Adsorption methods

5. Mercury porosimetry

6. Particle packing and solid state sintering

7. Basic microstructure characterization

8. Image analysis and stereology I – Introduction to image processing and machine learning

9. Image analysis and stereology II – Metric and topological descriptors

10. Image analysis and stereology III – Size distributions

11. Scattering of light

12. Laser diffraction

13. Dynamic light scattering and other methods

14. X-ray diffraction and line broadening

1. Úvod – velikost a tvar částic

2. Statistika malých částic

3. Sedimentační analýza

4. Adsorpční metody

5. Rtuťová porozimetrie

6. Uspořádání částic a slinování

7. Základní charakterizace mikrostruktury

8. Obrazová analýza a stereologie I – Úvod do zpracování obrazu a strojového učení

9. Obrazová analýza a stereologie II – Metrické a topologické deskriptory

10. Obrazová analýza a stereologie III – Rozdělení velikosti částic

11. Rozptyl světla

12. Laserová difrakce

13. Dynamický rozptyl světla (DLS) a další metody

14. Rentgenová difrakce a rozšiřování píků

Pabst W., Gregorová E.: Characterization of particles and particle systems. VŠCHT Praha 2007 (accesssible via

http://www.vscht.cz/sil/keramika/Characterization_of_particles/CPPS%20_English%20version_.pdf ).

Pabst W., Gregorová E., Uhlířová T.: Microstructure characterization via stereological relations — A shortcut

for beginners (accessible via https://www.sciencedirect.com/science/article/pii/S1044580315001291/pdfft?md5=67921b46354613a1ca14786d6894f8fe&pid=1-s2.0-S1044580315001291-main.pdf )

In order to enroll for this course the student must have a bachelor (B.Sc.) or comparable degree in chemistry, materials science and technology or a related field.