|Subject name (in Hungarian, in English)||Computational Fluid Dynamics|
Computational Fluid Dynamics
|Type||study unit with contact hours|
|Course types and number of hours (weekly / semester)||course type:||lecture (theory)||exercise||laboratory excercise|
|number of hours (weekly):||1||0||2|
|nature (connected / stand-alone):||-||-||individual|
|Type of assessments (quality evaluation)||mid-term grade|
|Subject coordinator||name:||Dr. Kristóf Gergely János (71957915589)|
|Host organization||Department of Fluid Mechanics|
|Course language||hungarian, english|
|Primary curriculum type||mandatory|
|Direct prerequisites||Strong prerequisite||BMEGEÁTBM11|
|Milestone prerequisite||at least obtained 0 ECTS|
The aim of teaching the subject is to acquaint with the procedure of numerical modeling of flows. Enable the independent construction of flow models and flow-connected thermal models, as well as the evaluation of the accuracy and reliability of modeling. Explain the principle of the finite volume method, the types of boundary conditions, the basics of turbulence modeling, several commonly used turbulence models, the requirements for the numerical mesh, and the mesh generation methods. As a practical application, it covers channel flows, streamlined bodies, flow engineering machines, and modeling of room flows.
Competences that can be acquired by completing the course
Knows the theoretical foundations of the finite volume method and the process of CFD analysis. Knows the mathematical background and physical interpretation of boundary conditions, as well as possible methods for modeling flow engineering machines. Knows the role of source members and rupture conditions in flow modeling. It recalls the theoretical foundations of turbulence modeling and the main features of each model. It recalls the main features of turbulence models. It recalls aspects related to the compression and quality of the numerical mesh. He is knowledgeable about boundary layer networking and other mesh generation methods. He was informed about the modeling of thermal processes and the calculation of heat transfer. He was aware of the possible sources of errors and uncertainties inherent in CFD analysis. He is aware of convergence tests and error estimation methods for CFD analysis.
Able to judge the applicability of simulation analysis in technical problems. Able to select an appropriate modeling approach for simulation analysis in technical problems. Creates two- and three-dimensional flow models. Apply two- and three-dimensional flow models. Handles coupled thermal fluid models. Determines the accuracy of modeling based on the error estimate for CFD simulations. Evaluates the accuracy of modeling by performing error estimation. Prepares the modeling of thermal processes, the calculation of heat transfer. Calculates errors and uncertainties inherent in CFD analysis. Prepares convergence tests for CFD analysis.
Initiates collaboration with the instructor and fellow students to expand knowledge. He expands his knowledge with continuous acquisition of knowledge and a wide-ranging attitude. It is open to the in-depth use of modern information technology tools. It seeks to learn about and routinely use the tools needed to solve fluid flow problems. It strives for independent, accurate, error-free and responsible solution. It strives to apply the principles of reliable operation, productivity, cost and time efficiency, energy efficiency and environmental awareness in solving flow engineering tasks. It develops its ability to align ethical engineering attitudes and long-term win-win considerations with market competition.
Independence and responsibility
Independently thinks through the tasks and problems defined in the subject and solves them based on given resources. Accepts well-founded critical remarks and criticisms. In some situations, as part of a team, you work with your fellow students to solve tasks. It supports a systematic approach and complex thinking in its thinking. He is critical of engineering commitments made in inadequate quality.
Lectures, computational exercises, written and oral communication, use of IT tools and techniques, optional independent and group work, work organization techniques. Lectures, computational exercises, written and oral communication, use of IT tools and techniques, optional independent and group work tasks, work organization techniques. Lectures, computational exercises, written and oral communication, use of IT tools and techniques, optional independent and group work tasks, work organization techniques.
Tamás Lajos: The basics of fluid dynamics. 2015, ISBN 978 963 12 2885 4.
Dr. Gergely Kristóf: Numerical modeling of flows, electronic textbook, ISBN 978-963-08-1212-2, distributed by: CFD.HU Kft., 2014,
Validity of the course description
|Start of validity:||2021. April 26.|
|End of validity:||2024. April 26.|
A 2.2. The assessment of the learning outcomes set out in point 1 is based on a mid-year written performance measurement (a summary assessment of academic performance), three partial performance assessments (homework) and participation in exercises. The course ends with a mid-term ticket. A 2.2. The assessment of the learning outcomes set out in point 1 is based on a mid-year written performance measurement (a summary assessment of academic performance), three partial performance assessments (homework) and participation in exercises. The course ends with a mid-term ticket.
Detailed description of mid-term assessments
|Mid-term assessment No. 1|
|Purpose, description:||The condition for obtaining a mid-term ticket is to achieve a result of at least 40% of your theoretical indoor score. We provide an opportunity to replace the theoretical confinement in the 14th week of education. A 2.2. The assessment of the learning outcomes set out in point 1 is based on a mid-year written performance measurement (a summary assessment of academic performance), three partial performance assessments (homework) and participation in exercises. The course ends with a mid-term ticket. A 2.2. The assessment of the learning outcomes set out in point 1 is based on a mid-year written performance measurement (a summary assessment of academic performance), three partial performance assessments (homework) and participation in exercises. The course ends with a mid-term ticket.|
|Mid-term assessment No. 2|
|Type:||formative assessment, simple|
|Purpose, description:||A maximum of 22 points can be obtained with a PowerPoint presentation summarizing the results of an independent practical task. Summary 1 should be submitted before the 9th, Summary 2 should begin before the 12th training week, and Summary 3 should be submitted by 4 pm at the end of Week 14 by uploading the files to the Poseidon system. In case of late submission of summaries, the score of the result is taken into account by a multiplier (1, 0.9, 0.8, etc.) decreasing by 10% per day. With a delay of more than 6 days, the practical task cannot be submitted.|
Detailed description of assessments performed during the examination period
The subject does not include assessment during the examination period.
The weight of mid-term assessments in signing or in final grading
|Mid-term assessment No. 1||34 %|
|Mid-term assessment No. 2||66 %|
The weight of partial exams in grade
There is no exam belongs to the subject.
Determination of the grade
|Grade||ECTS||The grade expressed in percents|
|very good (5)||Excellent [A]||above 90 %|
|very good (5)||Very Good [B]||85 % - 90 %|
|good (4)||Good [C]||70 % - 85 %|
|satisfactory (3)||Satisfactory [D]||55 % - 70 %|
|sufficient (2)||Pass [E]||40 % - 55 %|
|insufficient (1)||Fail [F]||below 40 %|
The lower limit specified for each grade already belongs to that grade.
Attendance and participation requirements
Must be present at at least 70% (rounded down) of lectures.
At least 70% of laboratory practices (rounded down) must be actively attended.
Special rules for improving, retaken and replacement
The special rules for improving, retaken and replacement shall be interpreted and applied in conjunction with the general rules of the CoS (TVSZ).
|Need mid-term assessment to invidually complete?|
|Can the submitted and accepted partial performance assessments be resubmitted until the end of the replacement period in order to achieve better results?|
|The way of retaking or improving a summary assessment for the first time:|
|each summative assessment can be retaken or improved|
|Is the retaking-improving of a summary assessment allowed, and if so, than which form:|
|retake or grade-improving exam possible for each assesment separately|
|Taking into account the previous result in case of improvement, retaken-improvement:|
|out of multiple results, the best one is to be taken into account|
|The way of retaking or improving a partial assessment for the first time:|
|partial assesment(s) in this group can be improved or repeated once up to the end of the repeat period|
|Completion of unfinished laboratory exercises:|
|missed laboratory practices must be performed in the repeat period|
|Repetition of laboratory exercises that performed incorrectly (eg.: mistake in documentation)|
|incorrectly performed laboratory practice (e.g. Incomplete/incorrect report) can be corrected upon improved re-submission|
Study work required to complete the course
|Activity||hours / semester|
|participation in contact classes||42|
|preparation for laboratory practices||14|
|preparation for summary assessments||16|
|elaboration of a partial assessment task||12|
|additional time required to complete the subject||36|
Validity of subject requirements
|Start of validity:||2021. April 26.|
|End of validity:||2024. April 26.|
The primary (main) course of the subject in which it is advertised and to which the competencies are related:
Link to the purpose and (special) compensations of the Regulation KKK
This course aims to improve the following competencies defined in the Regulation KKK:
- Student has the knowledge and application in context of the scientific and technical theories and causal relationships relevant to the profession of mechatronics engineer.
- Student has acquired a theoretically sound, systems-oriented and practice-oriented engineering mindset.
- Student has the knowledge of the main properties and applications of mechanical and electrical materials used in mechatronics.
- Student has the ability to process and organise information collected during the operation of mechatronic systems and processes, to analyse it in different ways and to draw theoretical and practical conclusions.
- Student has the ability to be creative in problem solving and flexible in complex tasks, as well as a lifelong learner, committed to diversity and value-based approaches.
- Student has the ability to develop independently the theoretical knowledge and to apply new theory to the practical solution of complex mechatronic design problems of an unconventional nature.
- In student's work, will explore and pursue research, development and innovation objectives, Student is committed to enriching the field of mechatronics engineering with new knowledge and scientific results.
- Student strives to plan and carry out tasks to a high professional standard, either independently or in a team.
- Student strives to develop professional competences.
Independence and responsibility
- Student shares gained knowledge and experience with those working in the field through formal, non-formal and informal information transfer.
- Student appreciates the work of student's subordinates and contributes to their professional development by sharing critical comments.
- Student takes an independent and proactive approach to solving professional problems.
Prerequisites for completing the course
Knowledge type competencies
(a set of prior knowledge, the existence of which is not obligatory, but greatly facilitates the successful completion of the subject)
Ability type competencies
(a set of prior abilities and skills, the existence of which is not obligatory, but greatly contributes to the successful completion of the subject)