General information:
Code:
UBPJO-201
Name:
Advanced simulation method for modeling of novel manufacturing technologies
Profile of education:
Academic (A)
Lecture language:
English
Semester:
Spring
Course homepage:
 
Responsible teacher:
prof. dr hab. inż. Svyetlichnyy Dmytro (svetlich@metal.agh.edu.pl)
Academic teachers:
prof. dr hab. inż. Svyetlichnyy Dmytro (svetlich@metal.agh.edu.pl)
dr inż. Straka Robert (straka@metal.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)
Skills
M_U001 Development and preparation of the model for a given problem - Report,
Execution of laboratory classes,
Activity during classes
M_U002 Student will be able to carry out model simulations - Report,
Execution of laboratory classes,
Activity during classes
Knowledge
M_W001 Basic knowledge about advanced methods of simulation of novel technologies - Activity during classes,
Examination
M_W002 Knowledge in thermodynamic and kinetics modeling - Activity during classes,
Examination
M_W003 Extended knowledge of modern methods for modeling: Cellular Automata and Lattice Boltzmann - Execution of exercises,
Activity during classes,
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
Skills
M_U001 Development and preparation of the model for a given problem + - + - - - - - - - -
M_U002 Student will be able to carry out model simulations - - + - - - - - - - -
Knowledge
M_W001 Basic knowledge about advanced methods of simulation of novel technologies + - - - - - - - - - -
M_W002 Knowledge in thermodynamic and kinetics modeling + - - - - - - - - - -
M_W003 Extended knowledge of modern methods for modeling: Cellular Automata and Lattice Boltzmann + - - - - - - - - - -
Module content
Lectures:

1. Forming processes and additive manufacturing.
2. Cellular Automata (CA) as a tool for microstructure evolution modeling.
3. CA fundamentals.
4. CA-based models of crystallization, phase transformation, recrystallization, grain refinement.
5. Applications for technological processes modeling.
6. Lattice Boltzman Method (LBM) for fluid flow modeling.
7. LBM fundamentals: streaming, equillibrium, collision.
8. LBM applications for diffusion, thermal and advection-diffusion problems.
9. Isothermal incompressible fluid flow.
10. Free surface flow.
11. Applications for additive manufacturing.

Laboratory classes:

1. Cellular automata. one-dimensional CA. Rules.
2. Synchronous and asynchronous 1D CA.
3. 2D CA.
4. CA neighborhood.
5. Growth rate control. CA space isotropy.
6. Frontal CA.
7. Grain shape.
8. Initial microstructure.
9. Grain boundary.
10 Boundary condition. Time step.
11. Microstructure evolution. Phase transformation.
12. LBM model for thermal-diffusion problems.
13. LBM model of flow of incompressible fluid.
14. Creation of free surface Lattice Boltzmann model

Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 155 h
Module ECTS credits 6 ECTS
Examination or Final test 5 h
Participation in lectures 30 h
Participation in laboratory classes 30 h
Realization of independently performed tasks 30 h
Preparation for classes 30 h
Preparation of a report, presentation, written work, etc. 30 h
Additional information
Method of calculating the final grade:

Weighted average: 0.7 * grade from classes + 0.3 * grade from exam

Prerequisites and additional requirements:

Basic knowledge of materials science
Basic skill in programming.

Recommended literature and teaching resources:

1. Svyetlichnyy D.S. Frontalne automaty komórkowe, Wydawnictwa AGH, Kraków, 2013. (in Polish)
2. Wolfram S. A new kind of science, Champaign: Wolfram Media, Cambridge: Cambridge University Press, 1999.
3. Schiff J.L. Cellular automata: a discrete view of the world, Hoboken: John Wiley & Sons Inc., cop. 2008.
4. Mohamad A.A. Lattice Boltzmann Methods. Fundamentals and Engineering Applications with Computer Codes. Springer, 2011.
5. Kruger T., Kusumaatmaja H., Kuzmin A., SHardt O., Silva G., Viggen E.M. The Lattice Boltzmann Method. Principles and Practice. Springer, 2017.

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

1. Svyetlichnyy D.S. Frontalne automaty komórkowe, Wydawnictwa AGH, Kraków, 2013.
2. Svyetlichnyy, D.S., Modelling of the microstructure: From classical cellular automata approach to the frontal one, Computational Materials Science, 2010, 50 (1), pp. 92-97.
3. Svyetlichnyy, D.S. Modeling of microstructure evolution in process with severe plastic deformation by cellular automata, Materials Science Forum, 2010, 638-642, pp. 2772-2777.
4. Svyetlichnyy, D.S., Simulation of microstructure evolution during shape rolling with the use of frontal cellular automata, ISIJ International, 2012, 52 (4), pp. 559-568.
5. Svyetlichnyy, D.S., Reorganization of cellular space during the modeling of the microstructure evolution by frontal cellular automata, Computational Materials Science, 2012, 60, pp. 153-162.
6. Svyetlichnyy, D.S., Modeling of grain refinement by cellular automata, Computational Materials Science, 2013, 77, pp. 408-416.
7. Łach, Ł., Svyetlichnyy, D., Multiscale model of shape rolling taking into account the microstructure evolution – Frontal cellular automata, Advanced Materials Research, 2014, 998-999, pp. 545-548.
8. Łach, L., Svyetlichnyy, D.S., Frontal cellular automata simulations of microstructure evolution during shape rolling, Materials Research Innovations, 2014, 18, pp. S6-295-S6-302.
9. Svyetlichnyy, D.S., Mikhalyov, A.I., Three-dimensional frontal cellular automata model of microstructure evolution – Phase transformation module, ISIJ International, 2014, 54 (6), pp. 1386-1395.
10. Svyetlichnyy, D.S., A three-dimensional frontal cellular automaton model for simulation of microstructure evolution – Initial microstructure module, Modelling and Simulation in Materials Science and Engineering, 2014, 22 (8), 085001.
11. Svyetlichnyy, D.S., Muszka, K., Majta, J., Three-dimensional frontal cellular automata modeling of the grain refinement during severe plastic deformation of microalloyed steel, Computational Materials Science, 2015, 102, 6397, pp. 159-166.

Additional information:

None