Subject · Metallurgical engineering

Metallurgiyada analitik nəzarət və metrologiyaTopics

İF-3688y4 creditsAutumn semesterMandatory2025-2026

Topic plan

The subject's topics and the learning outcomes attached to each one.

15 topics
  1. 1. Introduction. qualified, quantitative, technical, urgent, etc. analyses. standards, technical conditions.

    Lecture

    An introduction to analytical control, the determination of various types of chemical/physical analysis, and an overview of industry standards.

  2. 2. Methods of expulsion, separation and precipitation. forms of weight and deposition. sample weighing and preparation for analysis. selection of deposition conditions.

    Lecture

    Fundamentals of gravimetric analysis methods, sample acceptance and technology of precipitation reactions.

  3. 3. Neutralization, oxidation-reduction, complexation, etc. methods of analysis. titration, finding the equivalence point. calculating the results of the analysis.

    Lecture

    Different types of titrimetric analysis methods, reactions and equivalent point determination methods.

  4. 4. Electrochemical, optical and radiometric analysis methods.

    Lecture

    Working principles of modern instrumental analysis methods (electrochemical, optical, radiometric) and application in metallurgy.

  5. 5. Potentiometric, polarographic, electrogravimetric, conductometric, etc. methods of analysis.

    Lecture

    A more in-depth study of various electrochemical analysis methods, particularly based on potential and conductance differences.

  6. 6. Refractometric, atomic absorption, nephelometric, conductometric, etc. methods of analysis.

    Lecture

    Working scheme of optical and spectroscopic (refractometry, atomic absorption, etc.) analysis methods

  7. 7. Characteristic, polychromatic and monochromatic and resonant rays. the relationship between the absorbed beam and the concentration of the atom, etc.

    Lecture

    Effects of types of radiation and absorption regularities on concentration (lambert-bouger-ber law).

  8. 8. The structure of the atom, energy levels, energy of the beam, etc.

    Lecture

    The quantum mechanical model of the atom and the energy levels that form the basis of analytical spectroscopy.

  9. 9. Rules for taking the initial sample, preparation of the average sample, etc. raw materials, auxiliary materials, waste and finished products and their analysis.

    Lecture

    Methodology of correct sampling of various metallurgical raw materials and wastes in production.

  10. 10. Choosing a suitable solvent for the initial sample. dissolving the initial sample in the chosen solvent. separation of elements by precipitation in the form of fractions, selective precipitation, chromatography, extraction, etc.

    Lecture

    Separation of elements in complex samples by methods such as extraction and chromatography.

  11. 11. Conversion of the target ion into a complex compound and dissociation of the complex ion.

    Lecture

    Complexation processes, fixation of metal ions with ligands and their controlled decomposition reactions.

  12. 12. Science of metrology. measurement, measuring instruments, standards and measurement units.

    Lecture

    Fundamentals of metrology science, international measurement units (si) and used measurement tools.

  13. 13. Metrological basis of analysis. absolute and relative analysis methods. distributed graph. external standards method

    Lecture

    Ensuring the integrity of analyses, establishing calibration graphs and calculations using standards

  14. 14. Random, gross and systematic errors and their variance. uncertainties in measurements, measurement accuracy. choosing a confidence interval. the probability that the results of the analysis are correct.

    Lecture

    Theory of errors, estimation of possible errors in analyses, calculation of accuracy and uncertainty.

  15. 15. The role of probability in analyzing the results of the analysis by mathematical and statistical methods.

    Lecture

    Mathematical-statistical analysis of obtained laboratory data, application of probability theory and normal distribution (gauss) curves.