Objectives and competences
Objectives:
• to provide detailed knowledge of numerical methods for computation of engineering important phenomena and processes,
• to demonstrate practical use of previously accumulated knowledge of mathematics, fluid mechanics, heat transfer and process engineering.
• to further develop student's capabilities of independent thinking and creative solutions of engineering problems by means of computer simulations.
Competences:
• Dinamic combination of knowledge and understanding of computational models and simulations.
Content (Syllabus outline)
To learn open source web based Computational Fluid Dynamics (CFD) (for example SimScale, OpenFoam etc) in order to solve basic problems in power and process engineering.
Content:
• Conservation laws in transport phenomena.
• Finite difference method.
• Computational modelling on differential level, based on computational fluid dynamics (CFD). Main topics include:
• Selection of turbulence models,
• Prescription of boundary conditions,
• Presentation and evaluation of computational results (visually, diagrams)
Numerical modelling will be explained through numerous examples.
During the seminar and computer work the students solve homework (Benchmark case) and computationally solve a practical problem from the field of power or process engineering.
Learning and teaching methods
frontal lectures,
coursework,
practical work at tutorials and computer work,
seminar (project) work.
Intended learning outcomes - knowledge and understanding
• give a basic principles of numerical computing,
• carry out a computer modelling of devices
• analyse basic approaches to the determination of computational area, set-up of mathematical model, choice of numerical method and definition of boundary conditions
• evaluate of relationships between different skills and procedures and importance of professional literature and computer programs for efficient solutions of engineering problems.
Intended learning outcomes - transferable/key skills and other attributes
• fundamental knowledge and skills for numerical simulations of real engineering problems;
• fundamentals of numerical computing and efficient use of computer codes.
Readings
Hriberšek, M.: Uvod v računalniško dinamiko tekočin, Univerzitetna založba Univerze v Mariboru,
2017
https://www.simscale.com/
2022
https://www.cfd-online.com/
2022
Prerequisits
Completed courses in the following subjects: Mathematics, Fluid mechanics, Heat transfer, Engineering tools II
Additional information on implementation and assessment • completed and presented homework and seminar (project) work 70%,
• theoretical examination in the form of answers to questions and oral examination 30%.
Minimum number of points with every type of examination is 50% of possible points with the type of examination.
