Course detail
Experimental Methods
FSI-QEM Acad. year: 2021/2022 Summer semester
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.
Supervisor
Department
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.
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.
Language of instruction
Czech
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.
The study programmes with the given course
Programme N-ADI-P: Automotive and Material Handling Engineering, Master's
branch ---: no specialisation, 6 credits, compulsory
Type of course unit
Lecture
26 hours, optionally
Teacher / Lecturer
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
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.