Course detail

Experimental Methods

FSI-QEMAcad. year: 2020/2021

Learning outcomes of the course unit The subject "Experimental Methods" acquaints students with procedures and methods used in the experimental solution of tasks in the program of automotive and traffic engineering in order to be able to apply them in practice. It explains the basics of modern methods of measuring mechanical quantities and defines the structure of the measuring and control instrument chain. Measurement of kinematic quantities, forces, moments, pressure, temperature and noise.

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

prof. Ing. Josef Štětina, Ph.D.

Department

Institute of Automotive Engineering (ÚADI)

Learning outcomes of the course unit

The graduate of the course will acquire theoretical knowledge and practical experience with experimental work with an emphasis on the use of computers in measuring and processing the experiment is able to simplify problems to choose the solution procedure and to orientate in the selection of appropriate measuring techniques.

Prerequisites

Basic knowledge of mathematics, physics, mechanics and electrical engineering at the bachelor's degree in mechanical engineering.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline. Teaching is suplemented by practical laboratory work.

Assesment methods and criteria linked to learning outcomes

Assessment methods and criteria linked to learning outcomes: Conditions for awarding the course-unit credit: active participation in seminars, elaboration of seminars, and passing a credit test. Exam: the exam examines the acquisition of knowledge gained in lectures, is focused primarily on the application of this knowledge to measurement and instrumentation, the exam is a written test and the possibility of oral verification of knowledge, up to 30% of the evaluation is the classification of laboratory exercises.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The aim of the course is to acquaint students with measurement methods and approaches to experimental problem solving with a focus on internal combustion engines and motor vehicles. It is essential to obtain a basic idea of the complexity of experimental work and current technical possibilities for their solution.

Specification of controlled education, way of implementation and compensation for absences

Attendance at the exercise is mandatory. Absence is solved with the teacher entering a substitute assignment.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

VENKATESHAN, S. P. Mechanical Measurements. 2. London: John Wiley&Sons, 2015. ISBN 978-11-1911-556-4. (EN)
MCBEATH, Simon. Competition car data logging. 2nd ed. Newbury Park, Calif.: Haynes North America, 2008. ISBN 978-184-4255-658. (EN)
CROCKER, Malcolm J. Handbook of noise and vibration control. Hoboken: Wiley, 2007, xxiv, 1569 s. : il. ISBN 978-0-471-39599-7. (EN)

Recommended reading

KUTZ, Myer. Handbook of measurement in science and engineering. Hoboken, New Jersey: Wiley, 2013. ISBN 978-0-470-40477-5. (EN)
TŮMA, Jiří. Vehicle gearbox noise and vibration: measurement, signal analysis, signal processing and noise reduction measures. Chichster: Wiley, 2014, xiv, 243 s. : il. ISBN 978-1-118-35941-9. (EN)
PAVELEK, Milan a Josef ŠTĚTINA. Experimentální metody v technice prostředí. 3. vyd. Brno: Akademické nakladatelství CERM, 2007, 215 s. ISBN 978-80-214-3426-4. (CS)
MIŠUN, Vojtěch. Vibrace a hluk. Vyd. 2. / v Akademickém nakladatelství CERM 1. vyd. Brno: Akademické nakladatelství CERM, 2005, 177 s. : il. ISBN 80-214-3060-5. (CS)
MARTYR, A. J. a M. A. PLINT. Engine Testing Theory and Practice. 3. Oxford: Elsevier, 2007. ISBN 978-0-7506-8439-2. (EN)

eLearning

eLearning: currently opened course

Classification of course in study plans

  • Programme N-ADI-P Master's, 1. year of study, summer semester, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Ing. Jaroslav Kašpárek, Ph.D.
prof. Ing. Pavel Novotný, Ph.D.
Ing. David Svída, Ph.D.
prof. Ing. Josef Štětina, Ph.D.
Ing. Jan Vančura, Ph.D.
Ing. Lubor Zháňal, Ph.D.

Syllabus

1. Basics of experiment theory, concepts and methods of work. Measurement regulations. Processing of measurement results, measurement errors and uncertainties.
2. Measurement of electrical and non-electrical quantities. Measuring chain. Sensors and their characteristics. Computer measuring systems. Digitization, sampling frequency. Measuring cards, modules and instruments.
3. Measuring software, LabVIEW, MATLAB.
4. Measurement of temperatures, pressures, flow and heat fluxes.
5. Strain gauges, methods of signal evaluation of strain gauges, application of strain gauges to force and pressure sensors.
6. Measurement of noise, vibration and speed. Acoustic measurements in the development and operation of cars. Identification of noise sources.
7. Introduction to experimental modal analysis.
8. Problems of measuring internal combustion engines in engine test rooms. 9. Problems of measurement in cylindrical testing laboratories, emission measurement.
10. On-board diagnostics of vehicles, data networks of cars, On-Board Diagnostic, CAN-based communication.
11. Problems of vehicle measurement, Global Positioning System (GPS).
12. Driving tests.
13. Measurement and diagnostics of the vehicle, brakes, shock absorbers and geometry.

Laboratory exercise

26 hours, compulsory

Teacher / Lecturer

Ing. Martin Beran
Ing. David Hloušek, Ph.D.
Ing. Jaroslav Kašpárek, Ph.D.
Ing. Aleš Prokop, Ph.D.
Ing. Kamil Řehák, Ph.D.
Ing. Jan Vančura, Ph.D.
Ing. Lubor Zháňal, Ph.D.

Syllabus

1. Safety of laboratory work, processing of measurement results in MATLAB.
2. Basics of working in the LabVIEW environment.
3. Measuring chain, demonstration of principles, and calibration of selected sensors.
4. Measurement of temperatures, pressures, flow on an internal combustion engine.
5. Measurement of forces, speeds, engine and cylinder dynamometer.
6. Modal analysis, FFT.
7. Analysis of mechanical vibration of the motor depending on the operating speed.
8. Acoustic measurements. Measurement of acoustic power of noise source.
9. Measurement of traffic noise.
10. Driving tests, GPS.
11. OBD - On-board diagnostics. Datalogging in automotive technology. 12. Measurement of brakes, shock absorbers and geometry.
13. Credit test, evaluation of protocols.

eLearning

eLearning: currently opened course