EXPERIMENTAL METHODS FOR FLUID MACHINERY AND ENERGY SYSTEMS

iten
Code
60459
ACADEMIC YEAR
2017/2018
CREDITS
6 credits during the 2nd year of 9270 Mechanical Engineering - Energy and Aeronautics (LM-33) GENOVA
SCIENTIFIC DISCIPLINARY SECTOR
ING-IND/08
LANGUAGE
Italian
TEACHING LOCATION
GENOVA (Mechanical Engineering - Energy and Aeronautics)
semester
1° Semester

AIMS AND CONTENT

LEARNING OUTCOMES

The main components of a measuring chain are presented and discussed. Post-processing tools for statistical moment and time (frequency) dependent analysis are also provided. The basic laws governing the main fluid dynamic instrumentations (such as Hot-wire anemometry, Laser Doppler Velocimetry and Particle Image Velocimetry) are provided and discussed.

SYLLABUS/CONTENT

Introduction to the main components of a measuring chain: transducers, filters, amplifiers and A/D conversion board. Nyquist’s theorem. Frequency response and dynamic calibration.

Data statistics. Errors due to finite number of samples and samples dispersion. Mean, rms and higher order statistical moments. Probability density function.

 

Introduction to the basic laws governing different kind of probes and possible applications.

 

Pneumatic probes (1,3, and 5 hole probes): static pressure taps, pressure transducers and directional calibration;

Fast response aerodynamic pressure probes (FRAPP): frequency response and dynamic calibration;

Hot-wire anemometry (HWA): King’s and Jorgensen’s laws;

Laser Doppler Velocimetry (LDV): introduction to the Doppler effect. Seeding particles and their dynamic;

Particle Image Velocimetry (PIV): cross-correlation and magnification ratio;

 

Advanced post-processing techniques: phase-locked analysis, Fourier’s transform, cross-correlation and autocorrelation functions. Applications with Matlab codes.

RECOMMENDED READING/BIBLIOGRAPHY

VKI lecture series, Measurement Thecniques in Fluid Dynamics

TEACHERS AND EXAM BOARD

Exam Board

DAVIDE LENGANI (President)

CARLO CRAVERO (President)

DANIELE SIMONI (President)

ANDREA CATTANEI

FRANCESCA SATTA

EXAMS

ASSESSMENT METHODS

The examination will be focused on two independent questions of the course. An exercise carried out with matlab focused on post-processing of experimental data

Exam schedule

Date Time Location Type Notes
15/02/2018 10:00 GENOVA Esame su appuntamento Prova orale su appuntamento da concordare con il Prof. Daniele Simoni <daniele.simoni@unige.it>
13/09/2018 10:00 GENOVA Esame su appuntamento Prova orale su appuntamento da concordare con il Prof. Daniele Simoni <daniele.simoni@unige.it>