151-0105-00L  Quantitative Flow Visualization

SemesterAutumn Semester 2016
LecturersT. Rösgen
Periodicityyearly recurring course
Language of instructionEnglish



Catalogue data

AbstractThe course provides an introduction to digital image analysis in modern flow diagnostics. Different techniques which are discussed include image velocimetry, laser induced fluorescence, liquid crystal thermography and interferometry. The physical foundations and measurement configurations are explained. Image analysis algorithms are presented in detail and programmed during the exercises.
ObjectiveIntroduction to modern imaging techniques and post processing algorithms with special emphasis on flow analysis and visualization.
Understanding of hardware and software requirements and solutions.
Development of basic programming skills for (generic) imaging applications.
ContentFundamentals of optics, flow visualization and electronic image acquisition.
Frequently used mage processing techniques (filtering, correlation processing, FFTs, color space transforms).
Image Velocimetry (tracking, pattern matching, Doppler imaging).
Surface pressure and temperature measurements (fluorescent paints, liquid crystal imaging, infrared thermography).
Laser induced fluorescence.
(Digital) Schlieren techniques, phase contrast imaging, interferometry, phase unwrapping.
Wall shear and heat transfer measurements.
Pattern recognition and feature extraction, proper orthogonal decomposition.
Lecture notesavailable
Prerequisites / NoticePrerequisites: Fluiddynamics I, Numerical Mathematics, programming skills.
Language: German on request.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersT. Rösgen
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationoral 30 minutes
Additional information on mode of examinationTeilnahme an mindestens 80% der Uebungen; Abgabe der gelösten Hausaufgaben (in elektronischem Format).
Deutsch nach Bedarf.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Courses

NumberTitleHoursLecturers
151-0105-00 VQuantitative Flow Visualization2 hrs
Tue10-12ML H 41.1 »
01.11.13-14ML H 37.1 »
T. Rösgen
151-0105-00 UQuantitative Flow Visualization
Die Übungen beginnen in der zweiten Semesterwoche.
Die Übungen im ML H 34.1 beginnen um 12:30 Uhr.
1 hrs
Tue12-14ML H 34.1 »
13-14ML H 41.2 »
T. Rösgen

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Biomedical Engineering MasterRecommended Elective CoursesWInformation
Mechanical Engineering MasterEnergy, Flows and ProcessesWInformation
Physics MasterGeneral ElectivesWInformation
Computational Science and Engineering BachelorAdditional Electives from the Fields of Specialization (CSE Master)WInformation
Computational Science and Engineering MasterFluid DynamicsWInformation