Module also offered within study programmes:
General information:
Annual:
2017/2018
Code:
MIM-2-210-AM-s
Name:
Advanced modelling methods in metallurgical processes
Faculty of:
Metals Engineering and Industrial Computer Science
Study level:
Second-cycle studies
Specialty:
Advanced Materials - Processing and Characterization
Field of study:
Materials Science
Semester:
2
Profile of education:
Academic (A)
Lecture language:
English
Form and type of study:
Full-time studies
Course homepage:
 
Responsible teacher:
dr inż. Miłkowska-Piszczek Katarzyna (kamilko@agh.edu.pl)
Academic teachers:
dr inż. Miłkowska-Piszczek Katarzyna (kamilko@agh.edu.pl)
Module summary

Description of learning outcomes for module
MLO code Student after module completion has the knowledge/ knows how to/is able to Connections with FLO Method of learning outcomes verification (form of completion)
Social competence
M_K001 Student is able to work in a team in order to achieve a common goal IM2A_K01, IM2A_K03 Execution of a project
Skills
M_U001 Student has the ability to develop and implement a numerical model for solidification process in steelmaking process IM2A_U04, IM2A_U08 Report,
Execution of a project
M_U002 Student has the ability to use advanced PreCAST and Virtual Environment software package IM2A_U01, IM2A_U08 Report,
Execution of a project
M_U003 Student has the ability to present and analyze obtained results from numerical calculation IM2A_U06 Participation in a discussion
Knowledge
M_W001 Student has knowledge of advanced methods used in metallurgical processes modelling IM2A_W07, IM2A_W12 Examination
M_W002 Student has knowledge of integrated steelmaking process IM2A_W12 Examination
M_W003 Student has knowledge of selection of appropriate modelling methods for representation and optimization of metallurgical processes IM2A_W12 Examination
FLO matrix in relation to forms of classes
MLO code Student after module completion has the knowledge/ knows how to/is able to Form of classes
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Others
E-learning
Social competence
M_K001 Student is able to work in a team in order to achieve a common goal - - + - - - - - - - -
Skills
M_U001 Student has the ability to develop and implement a numerical model for solidification process in steelmaking process - - + - - - - - - - -
M_U002 Student has the ability to use advanced PreCAST and Virtual Environment software package - - + - - - - - - - -
M_U003 Student has the ability to present and analyze obtained results from numerical calculation - - + - - - - - - - -
Knowledge
M_W001 Student has knowledge of advanced methods used in metallurgical processes modelling + - - - - - - - - - -
M_W002 Student has knowledge of integrated steelmaking process + - - - - - - - - - -
M_W003 Student has knowledge of selection of appropriate modelling methods for representation and optimization of metallurgical processes + - - - - - - - - - -
Module content
Lectures:
Advanced modelling methods in metallurgical processes

1. Introduction to advanced modelling methods in metallurgical processes. Integrated steelmaking process( 2 godziny)
2. Methods and techniques used in the metallurgical processes modelling (finite element method, finite volume method, finite difference method, meshless methods), expert system and artificial neural network (4 godziny)
3. Material properties : chemical composition, enthalpy, specific heat, thermal conductivity, density, viscosity (1 godzina)
4. Heat and mass transfer mechanisms, Fourier and Fick equations, boundary conditions (Dirichlet, Neumanna, Fourier) (2 godzina)
5. Classification of flows, laminar and turbulent flows, fluid flow models: Navier-Stokes equations, turbulent models ( CFD, RANS,DNS, LES) (2 godziny)
6. The Lagrangian and Eulerian descriptions of motion , MILE and ALE algorithms (1 godzina)
7. Numerical modelling solidification process based on the continuous casting process with the sensitivity analysis ( 3 godziny)

Laboratory classes:

1. Geometry of the model and the mesh generation (3 godziny)
2. Material related parameters – algorithms in the CompuTherm LLC thermodynamical database(1 godzina)
3. User functions for the boundary condition in the model (2 godziny)
4. Pre-processing for steady state calculation (3 godziny)
5. Post-processing for steady state calculation(1 godzina)
6. Fluid flow models ( 3 godziny )
7. Fluid flow simulation ( 1 godzina)
8. MILE algorithm for stresses calculation ( 2 godziny)
9. Pre-processing for non- steady state calculation ( 3 godziny)
10. Post-processing for non- steady state calculation (1 godzina)
11. Development of the continuous casting numerical model for steady state calculation ( 10 godzin)

Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 102 h
Module ECTS credits 4 ECTS
Participation in lectures 14 h
Participation in laboratory classes 28 h
Preparation for classes 30 h
Realization of independently performed tasks 15 h
Contact hours 10 h
Preparation of a report, presentation, written work, etc. 5 h
Additional information
Method of calculating the final grade:

Weighted average: 0.5 * grade from classes + 0.5 * from exam

Prerequisites and additional requirements:

Zgodnie z Regulaminem Studiów AGH podstawowym terminem uzyskania zaliczenia jest ostatni dzień zajęć w danym semestrze. Termin zaliczenia poprawkowego (tryb i warunki ustala prowadzący moduł na zajęciach początkowych) nie może być późniejszy niż ostatni termin egzaminu w sesji poprawkowej (dla przedmiotów kończących się egzaminem) lub ostatni dzień trwania semestru (dla przedmiotów niekończących się egzaminem).

Recommended literature and teaching resources:

Recommended literature and teaching resources not specified

Scientific publications of module course instructors related to the topic of the module:

1. Applying a numerical model of the continuous steel casting process to control the length of the liquid core in the strand — Zastosowanie numerycznego modelu procesu COS do regulacji długości ciekłego rdzenia w paśmie / K. MIŁKOWSKA-PISZCZEK, J. FALKUS // Archives of Metallurgy and Materials / Polish Academy of Sciences. Committee of Metallurgy. Institute of Metallurgy and Materials Science ; ISSN 1733-3490. — 2015 vol. 60 iss. 1, s. 251–256
2. A comparison of models describing heat transfer in the primary cooling zone of a continuous casting machine — Porównanie modeli opisujących wymianę ciepła w pierwotnej strefie chłodzenia maszyny COS / K. MIŁKOWSKA-PISZCZEK, M. RYWOTYCKI, J. FALKUS, K. KONOPKA // Archives of Metallurgy and Materials / Polish Academy of Sciences. Committee of Metallurgy. Institute of Metallurgy and Materials Science ; ISSN 1733-3490. — 2015 vol. 60 iss. 1, s. 239–244
3. Developing continuous-casting-process control based on advanced mathematical modelling / Jan FALKUS, Katarzyna MIŁKOWSKA-PISZCZEK // Materiali in Tehnologije = Materials and Technology ; ISSN 1580-2949. — 2015 vol. 49 no. 6, s. 903–912
4. Improving efficiency of CCS numerical simulations through use of parallel processing — Poprawa wydajności obliczeń numerycznych symulacji COS poprzez wykorzystanie przetwarzania równoległego / K. KONOPKA, K. MIŁKOWSKA-PISZCZEK, L. TRĘBACZ, J. FALKUS // Archives of Metallurgy and Materials / Polish Academy of Sciences. Committee of Metallurgy. Institute of Metallurgy and Materials Science ; ISSN 1733-3490. — 2015 vol. 60 iss. 1, s. 235–238
5. Opracowanie i zastosowanie numerycznego modelu procesu COS do wyznaczania technologicznych parametrów odlewania stali S235 — Development and application of the numerical model of CCS process to determine technological parameters of casting for steel S235 / Katarzyna MIŁKOWSKA-PISZCZEK. — Kraków : Wydawnictwa AGH, 2014
6. An analysis of the influence of viscosity on the numerical simulation of temperature distribution, as demonstrated by the CC process — Analiza wpływu lepkości na symulację numeryczną rozkładu temperatury na przykładzie procesu ciągłego odlewania / K. MIŁKOWSKA-PISZCZEK, M. KOROLCZUK-HEJNAK // Archives of Metallurgy and Materials / Polish Academy of Sciences. Committee of Metallurgy. Institute of Metallurgy and Materials Science ; ISSN 1733-3490. — 2013 vol. 58 iss. 4, s. 1267–1274
7. Identification of the boundary conditions in the continuous casting of steel — Identyfikacja warunków brzegowych w procesie COS / M. RYWOTYCKI, K. MIŁKOWSKA-PISZCZEK, L. TRĘBACZ // Archives of Metallurgy and Materials / Polish Academy of Sciences. Committee of Metallurgy. Institute of Metallurgy and Materials Science ; ISSN 1733-3490. — 2012 vol. 57 iss. 1, s. 385–393
8. Modelowanie procesu ciągłego odlewania stali : monografia — [Modelling of continuous casting process of steel : monography] / red. nauk. Jan FALKUS ; aut.: Andrzej BUCZEK, Andriy BURBELKO, Paweł DROŻDŻ, Marek DZIARMAGOWSKI, Jan FALKUS, Mirosław KARBOWNICZEK, Tomasz KARGUL, Katarzyna MIŁKOWSKA-PISZCZEK, Marcin RYWOTYCKI, Krzysztof SOŁEK, Wojciech ŚLĘZAK, Tadeusz TELEJKO, Lechosław TRĘBACZ, Ewa WIELGOSZ. — Radom : Wydawnictwo Naukowe Instytutu Technologii Eksploatacji – Państwowy Instytut Badawczy, cop. 2012
9. The influence of the selected parameters of the mathematical model of steel continuous casting on the distribution of the solidifying strand temperature / J. FALKUS, K. MIŁKOWSKA-PISZCZEK, M. RYWOTYCKI, E. WIELGOSZ // Journal of Achievements in Materials and Manufacturing Engineering ; ISSN 1734-8412. — 2012 vol. 55 iss. 2, s. 668–672
10. The methods of calculating the solidifying strand shell thickness in a continuous casting machine / K. MIŁKOWSKA-PISZCZEK, M. DZIARMAGOWSKI, A. BUCZEK, J. Pióro // Archives of Materials Science and Engineering ; ISSN 1897-2764

Additional information:

The main aim of the course: Advanced modelling methods in metallurgical processes is the presentation of the modern modelling methods used in the control and optimization of the integrated steelmaking process. The most relevant and dominant numerical methods will be discussed (FEM, FVM, FDM, meshless methods) as well as expert systems with the example of implementation. During laboratories advance ProCAST and Visual Environment software package will be introduced to the students. The best students will graduate these lectures with professional certificates from the ProCAST software developers. The certificate is the confirmation of basic course from ProCAST software, which is one of the practical advantages of these lectures.