618-0407/03 – Algorithmization of Reduction Processes (ARP)

Gurantor departmentDepartment of Metallurgy and FoundryCredits4
Subject guarantordoc. Ing. Markéta Tkadlečková, Ph.D.Subject version guarantordoc. Ing. Markéta Tkadlečková, Ph.D.
Study levelundergraduate or graduate
Study languageCzech
Year of introduction2012/2013Year of cancellation2015/2016
Intended for the facultiesFMTIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
GRY04 doc. Ing. Karel Gryc, Ph.D.
SAW002 doc. Ing. Markéta Tkadlečková, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 0+2
Combined Credit and Examination 0+8

Subject aims expressed by acquired skills and competences

- student will be able formulate to apply theoretical knowledge for design of basic reduction processes models - student will be able formulate to concretize thermodynamic patterns of reduction processes and design models of theoretical minimal deoxidizer consumption - student will be able formulate to results of models to graphs for futher technological analysis

Teaching methods

Lectures
Seminars
Individual consultations
Tutorials
Project work

Summary

The subject extends and intensifies knowledge about reduction processes during ironmaking. It is focused on process algoritmization to determine thermodynamicall minimal and optimal characteristics of reduction processes. The algoritmization works with thermodynamical and dynamical kinetic principles.

Compulsory literature:

[1] BISWAS, A.K. Principles of blast furnace ironmaking, Australia, Brisbane 1981. [2] BABICH,A.;SENK,D.;GUDENAU,H.W.;MAVROMMATIS,K.TH.IRONMAKING. Textbook, RWTH Aachen University, Aachen 2008, 402 p. ISBN 3861309971.

Recommended literature:

[1] POMEROY, D. ad. Mathematical modeling of blast furnace injection. In ISSTech 2003 Conference Proceedings, 2003, Indianopolis, USA, p. 241-247. [2] LI, Q. J.; HONG, X. Non-isothermal kinetic model for reduction of ferrous oxide with hydrogen and carbon monoxide. Ironmaking and Steelmaking, 2009, Vol. 36, No 1, pp. 24-28

Way of continuous check of knowledge in the course of semester

2 semestral works and their presentation within seminars.

E-learning

For electronic communication with teachers enjoy university e-mail address: http://staff.vsb.cz/ There is a continuous expansion of e-learning elements into teaching.

Další požadavky na studenta

- Active participation in exercises - Active participation in excursion

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

EXCERCISE 1. Reducing the system Fe-O-C, Fe-O-C. Reduction of iron oxides by CO. Calculations of CO consumption in various condition. 2. Reduction of iron oxides by carbon. Calculations of carbon consumption in various technological conditions. 3. Reduction of iron oxides by hydrogen. Calculation of hydrogen consumption. Reduction of hydrogen in the blast furnace at high temperatures. 4. Reduction by gaseous mixture of CO + H2. Derivation of calculations for minimal ammount of the mixture for oxide reductions. 5. Direct and Indirect reduction in blast furnace. Determination of the optimal ratio between the two types of reduction - the design optimization process and its algorithms in graphical form Rist and CDR diagram. 6.Entering the actual operating data for seminary work. 1st"Semestral work – “Analytic evaluation of reductive function of blast furnace". 7. Seminar: Presentation of results and follow-up discussion. Draw individual conclusions 8. Kinetics of reduction gas. Algorithm of processes in reducing aggregate Midrex. Derivation of velocity constants from experimental test reducibility. 9. Kinetics of gas reduction in blast furnace. Calculation of the degree of indirect reduction of carbon monoxide. 10. Ketermination of real minimal consumption of gaseous oxidizer as a limit in CDR plot : 2nd Semestral work – “Calculation of kinetic curves during reduction by CO”. 11. Elaboration of : 2nd Semestral work - kinetic curve of reduction 12. Presentation of results. Subsequent critical discussion. Final summary of results. 13. Output data of the blast furnace system.

Conditions for subject completion

Conditions for completion are defined only for particular subject version and form of study

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2015/2016 (B2109) Metallurgical Engineering (2109R035) Technologies of Metal Production P Czech Ostrava 3 Compulsory study plan
2015/2016 (B2109) Metallurgical Engineering (2109R035) Technologies of Metal Production K Czech Ostrava 3 Compulsory study plan
2014/2015 (B2109) Metallurgical Engineering (2109R035) Technologies of Metal Production P Czech Ostrava 3 Compulsory study plan
2014/2015 (B2109) Metallurgical Engineering (2109R035) Technologies of Metal Production K Czech Ostrava 3 Compulsory study plan
2013/2014 (B2109) Metallurgical Engineering (2109R035) Technologies of Metal Production P Czech Ostrava 3 Compulsory study plan
2013/2014 (B2109) Metallurgical Engineering (2109R035) Technologies of Metal Production K Czech Ostrava 3 Compulsory study plan
2012/2013 (B2109) Metallurgical Engineering (2109R035) Technologies of Metal Production K Czech Ostrava 3 Compulsory study plan
2012/2013 (B2109) Metallurgical Engineering (2109R035) Technologies of Metal Production P Czech Ostrava 3 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner