Course: Experimental Methods in Inorganic Technology

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Course title Experimental Methods in Inorganic Technology
Course code KANT/C884
Organizational form of instruction Lecture + Seminar
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Kalendová Petra, Ing. Ph.D.
  • Dohnalová Žaneta, doc. Ing. Ph.D.
Course content
- Introduction to methods of evaluation of powdered inorganic materials. Methods for determining the physico-chemical properties of powdered materials. - Fundamentals of crystallography and X-ray diffraction analysis. Evaluation of XRD records, identification of unknown substance - Basic classification of methods of thermal analysis. Basic rinciples of TG, DTA and DSC analysis. Factors affecting the TG and DTA curves. - Evaluation of the TG and DTA records (practical examples). - Using knowledge of TG/ DTA/DSC methods and X-ray diffraction analysis to construct phase diagrams. - Description of particle size. Basic principles of particle size measurement methods. Accuracy and reproducibility of their measurements. - Methods for determining textural characteristics. Principles of specific surface measurement methods and their use (interpretation by BET isotherm). - Statistical processing of data (errors of measuring instruments and processes, one-dimensional data) - Exploratory analysis (diagnostic graphs, statistical tests, practical examples of exploratory analysis). Verification of data assumptions. Data transformation. - Analysis of small selections. ANOVA. Linear regression models, calibration. Basics of multidimensional data processing. Seminar work

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Methods of individual activities, Skills training
Learning outcomes
The aim is to deepen the knowledge of students in the field of experimental methods used especially for the evaluation of inorganic materials, especially powdered materials and pigments. Statistical data processing and work with the statistical software.
Students receive information about different experimental methods for evaluation of powdery materials. The students can select the suitable method for characterization of powdery material and discuss obtained results with respect to quality of pigments. Students are able to statistically process the experimental data.
Prerequisites
Basic knowledge of the subject: Theoretical basics of the production of powdered materials.

Assessment methods and criteria
Oral examination, Home assignment evaluation

Oral examination regarding the methods of characterisation of inorganic powdered materials and practical application of statistical methods.
Recommended literature
  • Brown M.E. Handbook of thermal analysis and calorimetry. Elsevier Science B.V, Amsterdam, 1998.. Amsterdam: Elsevier Science B.V, 1998.
  • Dinnebier R.E., Billinge S.J.L. Powder diffraction: Theory and Practice. Cambridge: The Royal Society of Chemistry, 2009.
  • Drago R.S. Physical methods for chemists. Surfside Scientific Publishers: Gainesville, 1977.
  • Dukhin A.S., Goetz P.J. Ultrasound for Characterizing Colloids. Amsterdam: Elsevier Science B.V., 2002.
  • Gaisford S., Kett V., Haines P. Principles of thermal analysis and calorimetry. Cambridge: United Kingdom, 2016. ISBN 978-1-78262-051-8.
  • Hines P.J. Principles of thermal analysis and calorimetry. Cambridge: United Kingdom, 2002.
  • Kupka S. Statistické řízení jakosti. Pardubice, 1997.
  • MELOUN M., MILITKÝ J. Statistická analýza experimentálních dat. Praha: Academia, 2004.
  • Merkus H.G. Particle size measuremets. Springer, 2009.
  • Šulcová P., Beneš L. Experimentální metody v anorganické technologii. Pardubice: Universita, 2008. ISBN 80-7194-420-3.
  • Šulcová P., Dohnalová Ž. Anorganické pigmenty, vlastnosti a metody hodnocení. Pardubice: Universita, 2015. ISBN 978-80-7395-947-0.
  • Tošenovský J., Noskievičová D. Statistické metody pro zlepšování jakosti. Montanex a.s. Ostrava, 2000.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester