151-0123-00L Experimental Methods for Engineers
|Semester||Autumn Semester 2017|
|Lecturers||T. Rösgen, K. Boulouchos, D. J. Norris, H.‑M. Prasser|
|Periodicity||yearly recurring course|
|Language of instruction||English|
|Abstract||The course presents an overview of measurement tasks in engineering environments. Different concepts for the acquisition and processing of typical measurement quantities are introduced. Following an initial in-class introduction, laboratory exercises from different application areas (especially in thermofluidics and process engineering) are attended by students in small groups.|
|Objective||Introduction to various aspects of measurement techniques, with particular emphasis on thermo-fluidic applications.|
Understanding of various sensing technologies and analysis procedures.
Exposure to typical experiments, diagnostics hardware, data acquisition and processing.
Study of applications in the laboratory.
Fundamentals of scientific documentation & reporting.
|Content||In-class introduction to representative measurement techniques in the|
research areas of the participating institutes (fluid dynamics, energy technology, process engineering)
Student participation in 8-10 laboratory experiments (study groups of 3-5 students, dependent on the number of course participants and available experiments)
Lab reports for all attended experiments have to be submitted by the study groups.
A final exam evaluates the acquired knowledge individually.
|Lecture notes||Presentations, handouts and instructions are provided for each experiment.|
|Literature||Holman, J.P. "Experimental Methods for Engineers", McGraw-Hill 2001, ISBN 0-07-366055-8|
Morris, A.S. & Langari, R. "Measurement and Instrumentation", Elsevier 2011, ISBN 0-12-381960-4
Eckelmann, H. "Einführung in die Strömungsmesstechnik", Teubner 1997, ISBN 3-519-02379-2
|Prerequisites / Notice||Basic understanding in the following areas:|
- fluid mechanics, thermodynamics, heat and mass transfer
- electrical engineering / electronics
- numerical data analysis and processing (e.g. using MATLAB)