151-0123-00L Experimental Methods for Engineers
| Semester | Herbstsemester 2019 |
| Dozierende | T. Rösgen, A.‑K. U. Michel, N. Noiray, H.‑M. Prasser, M. Tibbitt |
| Periodizität | jährlich wiederkehrende Veranstaltung |
| Lehrsprache | Englisch |
| Kurzbeschreibung | 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. |
| Lernziel | 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. |
| Inhalt | 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. |
| Skript | Presentations, handouts and instructions are provided for each experiment. |
| Literatur | 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 |
| Voraussetzungen / Besonderes | 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) |