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Course info
KKE / PVM
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Course description
Department/Unit / Abbreviation
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KKE
/
PVM
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Computational modelling tools
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Form of course completion
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Exam
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Form of course completion
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Exam
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Long Title
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Computational modelling tools for mechanical and power engineering
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Accredited / Credits
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Yes,
4
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
2
[Hours/Week]
Tutorial
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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YES
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Language of instruction
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Czech
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Occ/max
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|
|
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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1 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Winter semester
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Semester taught
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Winter semester
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Minimum (B + C) students
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2
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
No
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Fundamental theoretical course |
No
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
,
XLS
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Course objectives:
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Increasing students' knowledge related to computer modelling for mechanical and energy engineering and increasing their skills and competencies in working with selected software tools (mainly ANSYS Fluent, ANSYS Mechanical, MATLAB).
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Requirements on student
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Active paricipation in lectures and tutorials, preparation and presentation of a seminar work, final test and oral exam (the question set is identical to the topics of the lectures).
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Content
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Topics of lectures
A - Introduction
1. Notes on the history of mechanics, mathematics and computational modelling. Overview of selected physical models, their mathematical formulation and basic concepts of their solution
2. Starting, user environment and concept of ANSYS Workbench and SpaceClaim, ANSYS Fluent, ANSYS Mechanical, MATLAB
B - Modelling fluid flow, heat and mass transfer using ANSYS Fluent
3. Creating/using model geometry, meshing
4. Basic fluid flow
5. Turbulence modelling
6. Heat transfer modelling
7. Multiphase flow
C - 0D and 1D models solved with MATLAB
8. Concepts and possibilities of MATLAB software (basics, matrix calculator, symbolic mathematics)
9. Visualization, graphs
10. 0D, 1D models and solutions (of systems) of ordinary differential equations
11. Graphical user interface
D - Straining modelling of machinery and power equipment and their parts
12. ANSYS Mechanical APDL user interface and options
13. Case studies (statics, modal analysis, heat transfer, ...)
Topics of practicums:
1. Examples of mathematical formulations for modelling selected problems
2. Practice - starting programs, working with graphical environment, input and output files
3. Practice importing, basic creation and modification of component geometry; meshing
4. Examples of simpler flow problems; the effect of meshing on the accuracy of the solution
5. Examples with different turbulence modelling; comparison with known experiments
6. Examples of modelling the heat transfer between the fluid and the walls of the device
7. Examples of multiphase flow modelling
8. Practice basic skills of working with MATLAB
9. Creation of function graphs, visualization of scalar and vector fields
10. Examples of 0D and 1D modelling, practice solving selected types of systems of ordinary differential equations
11. Creating and programming your own user interface
12. Groups of APDL commands, creation of geometric entities and FEA networks, entering loads and boundary conditions
13. Examples of straining and heating of a machine component (e.g. flat flanges, ...)
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Activities
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Fields of study
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Guarantors and lecturers
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-
Guarantors:
Ing. Richard Matas, Ph.D. (100%),
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Lecturer:
Ing. Richard Matas, Ph.D. (50%),
Prof. RNDr. Josef Voldřich, CSc. (25%),
Ing. Michal Volf (25%),
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Tutorial lecturer:
Ing. Richard Matas, Ph.D. (50%),
Prof. RNDr. Josef Voldřich, CSc. (25%),
Ing. Michal Volf (25%),
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Literature
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Contact hours
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52
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E-learning (given by an e-learning course)
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15
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Preparation for an examination (30-60)
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30
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Preparation for comprehensive test (10-40)
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15
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Presentation preparation (report) (1-10)
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3
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Total
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115
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
to use basic knowledge of B.Sc. courses in thermomechanics, fluid mechanics and elasticity and strength |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
to use the skills of a Bc. studies in the field of Mechanical Engineering, Technology and Materials |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
to know the procedures necessary for the preparation of computational models in the field of mechanical and power engineering |
to describe the basic principles and rules for simulation of engineering tasks |
Skills - skills resulting from the course: |
to create of computational models in the field of mechanical and power engineering |
to use of ANSYS Fluent, ANSYS Mechanical, ANSYS Workbench and MATLAB for basic to intermediate simulations in mechanical and power engineering |
Competences - competences resulting from the course: |
N/A |
to access sources of information in the field, use them in his/her studies and in discussions with experts |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Test |
Oral exam |
Skills - skills achieved by taking this course are verified by the following means: |
Seminar work |
Competences - competence achieved by taking this course are verified by the following means: |
Individual presentation at a seminar |
Oral exam (Full-time form of study) |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Self-study of literature |
One-to-One tutorial |
Skills - the following training methods are used to achieve the required skills: |
Practicum |
Competences - the following training methods are used to achieve the required competences: |
Task-based study method |
Individual study |
Discussion |
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