Module also offered within study programmes:
General information:
Name:
Computational materials science
Course of study:
2019/2020
Code:
ZSDA-3-0002-s
Faculty of:
Szkoła Doktorska AGH
Study level:
Third-cycle studies
Specialty:
-
Field of study:
Szkoła Doktorska AGH
Semester:
0
Profile of education:
Academic (A)
Lecture language:
English
Form and type of study:
Full-time studies
Responsible teacher:
Madej Łukasz (lmadej@agh.edu.pl)
Dyscypliny:
inżynieria materiałowa, inżynieria mechaniczna
Module summary

This lecture is devoted to introduction into the computational materials science. The first part of the lecture is devoted to presentation of macro, micro, mezo and nano scale numerical modeling techniques. Practical basis of the commonly used methods are presented. Their advantages as well as disadvantages are discussed. The second part of the lecture is focused on examples of capabilities offered by advanced modelling techniques in the area of material and process development.

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: is able to
M_K001 Can appreciate the advantages of the use of modeling techniques to develop new materials and technologies that can be useful for the society. SDA3A_K02 Presentation,
Oral answer
Skills: he can
M_U001 Has the ability to identify parameters of the material model. SDA3A_U01 Oral answer
Knowledge: he knows and understands
M_W001 Has general knowledge about the advantages and possibilities of application of numerical modeling techniques in material science and engineering. SDA3A_W03, SDA3A_W02 Presentation,
Oral answer
M_W002 Has general knowledge on selection of appropriate methods of macro, meso, micro and nano scale analysis to solve problem under consideration. SDA3A_W03, SDA3A_W02 Presentation,
Oral answer
Number of hours for each form of classes:
Sum (hours)
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Prace kontr. przejść.
Lektorat
20 12 0 0 0 0 8 0 0 0 0 0
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
Prace kontr. przejść.
Lektorat
Social competence
M_K001 Can appreciate the advantages of the use of modeling techniques to develop new materials and technologies that can be useful for the society. + - - - - - - - - - -
Skills
M_U001 Has the ability to identify parameters of the material model. + - - - - + - - - - -
Knowledge
M_W001 Has general knowledge about the advantages and possibilities of application of numerical modeling techniques in material science and engineering. + - - - - - - - - - -
M_W002 Has general knowledge on selection of appropriate methods of macro, meso, micro and nano scale analysis to solve problem under consideration. + - - - - + - - - - -
Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 77 h
Module ECTS credits 3 ECTS
Udział w zajęciach dydaktycznych/praktyka 20 h
Preparation for classes 20 h
przygotowanie projektu, prezentacji, pracy pisemnej, sprawozdania 20 h
Realization of independently performed tasks 15 h
Contact hours 2 h
Module content
Lectures (12h):
  1. Computational material science – introduction
  2. Macro scale analysis techniques
  3. Mezo scale analysis techniques
  4. Micro and nano scale analysis techniques
  5. Multi scale analysis techniques
  6. Scientific and industrial applications of the multi scale approaches
Seminar classes (8h):
  1. Capabilities of numerical modelling techniques – case studies 1
  2. Capabilities of numerical modelling techniques – case studies 2
  3. Capabilities of numerical modelling techniques – case studies 3
  4. Capabilities of numerical modelling techniques – case studies 4
Additional information
Teaching methods and techniques:
  • Lectures: Oral presentation, multimedia presentation, animations
  • Seminar classes: Oral presentation, multimedia presentation,
Warunki i sposób zaliczenia poszczególnych form zajęć, w tym zasady zaliczeń poprawkowych, a także warunki dopuszczenia do egzaminu:

- Participation in the classes
- Positive grade from the project

Participation rules in classes:
  • Lectures:
    – Attendance is mandatory: No
    – Participation rules in classes: Participation in the classes is mandatory
  • Seminar classes:
    – Attendance is mandatory: Yes
    – Participation rules in classes: Participation in the classes is mandatory
Method of calculating the final grade:

Grade from classes will be the basis of the final mark.

Sposób i tryb wyrównywania zaległości powstałych wskutek nieobecności studenta na zajęciach:

Will be discussed during the first class.

Prerequisites and additional requirements:

Basic knowledge of materials science.

Recommended literature and teaching resources:

1. Pietrzyk M., Madej L., Rauch L., Szeliga D., Computational Materials Engineering: achieving high accuracy and efficiency in metals processing simulations, Butterworth-Heinemann Elsevier, 2015.
2. O. C. Zienkiewicz, R. L. Taylor, The Finite Element Method Set, Butterworth-heinemann, 2005.
3. Fries T.P., Matthies H.G., Classification and overview of meshfree methods, Scientific Computing, Informatikbericht, 2003-3, Brunswick, 2004.

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

1. Madej L., Mojżeszo M., Chraponski J., Roskosz S., Cwajna J., Digital material representation model of porous microstructure based on 3D reconstruction algorithm, Archives of Metallurgy and Materials, 62, 2017, 563-569.
2. Madej L., Digital/virtual microstructures in application to metals engineering – A review, Archives of Civil and Mechanical Engineering, 17, 2017, 839–854.
3. Madej L., Legwand A., Mojzeszko M., Chraponski J., Roskosz S., Cwajna J., Experimental and numerical two- and three-dimensional investigation of porosity morphology of the sintered metallic material, Archives of Civil and Mechanical Engineering, 18, 2018, 1520-1534.
4. Madej L., Mabrozinski M., Kwiecień M., Gronostajski Z., Pietrzyk M., Digital material representation concept applied to investigation of local inhomogeneities during manufacturing of magnesium components for automotive applications, International Journal of Materials Research, 108, 2017, 3-11.
5. Szyndler J., Grosman F., Tkocz M., Madej L., Numerical and experimental investigation of the innovatory incremental forming process dedicated for the elaerospace industry, Metallurgical and Material Transactions A, 11, 2016, 5522-5533.

Additional information:

None