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EXPERIMENTAL METHODS FOR FLUID MACHINERY AND ENERGY SYSTEMS

CODE 60459
ACADEMIC YEAR 2022/2023
CREDITS
  • 6 cfu during the 2nd year of 9270 INGEGNERIA MECCANICA - ENERGIA E AERONAUTICA(LM-33) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR ING-IND/08
    LANGUAGE Italian
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 1° Semester
    MODULES This unit is a module of:
    TEACHING MATERIALS AULAWEB

    OVERVIEW

    The module provides the basic knowledge to perform experimental measurements on fluid machinery by means of advanced measurement techniques, it also provides the post processing tools for the analysis of the unsteady time-signals encountered in such applications.

    AIMS AND CONTENT

    LEARNING OUTCOMES

    The aim of the course is to present and discuss the main components of a measuring chain, and to provide students with post-processing tools for statistical moments and time (frequency) dependent analysis. The basic laws governing the main fluid dynamic instrumentations (such as Hot-wire anemometry, Laser Doppler Velocimetry and Particle Image Velocimetry) are provided and experiments are presented. The theory and development of post-processing routines will be introduced, jointly with real applications and implementations of data analysis tools in Matlab.

    AIMS AND LEARNING OUTCOMES

    The student should be able to:

    - identify the proper probe for velocity and pressure fields investigation to be used, based on the specific definition of the quantities to be measured and in relation to the constrains regarding the accuracy, sensibility, spatial resolution and frequency response;

     - employ the different measuring techniques, setting the acquisition parameters for the inspection and analysis of three-dimensional unsteady flows of practical and industrial interest;

    - provide a statistical analysis of an ensemble of data, as well as a detailed characterization of the dynamics of complex systems by means of advanced post-processing routines like the Fast Fourier Transform, the auto- and cross-correlation coefficients and phase-locked ensemble averaging;

    - acquire expertize in the treatment of voltage signals as well as in the development of regression and calibration curves of complex systems.

    The post-processing routines will be developed in Matlab.

    TEACHING METHODS

    Frontal lessons will be mainly employed in the course. The basic rules describing the theory of the measurement chains, of signal analysis and the basic operating principles of the different probes introduced into the course will be provided to the student. Experimental activities will be also carried out in the Aerodynamics and Turbomachinery laboratory in order to provide to the student expertize in the setting and operation of the different probes presented in the course. Post-processing routines will be also developed in Matlab. It is strongly suggested the participation of the student to the lessons, since the examination is driven by arguments discussed and presented during the lessons 

    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

    CARLO CRAVERO (President)

    DARIO BARSI

    ANDREA CATTANEI

    MATTEO DELLACASAGRANDE

    FRANCESCA SATTA

    DAVIDE LENGANI (President Substitute)

    DANIELE SIMONI (President Substitute)

    LESSONS

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    EXAMS

    EXAM DESCRIPTION

    The examination is composed of two parts. The first consists in the discussion of an exercise focused on the post-processing of different kind of data acquired by the research group of the professor, and provided to the student some days before the examination data. In the second part an oral discussion of theoretical topics treated in the lessons will conclude the examination. The examination data will be provided previous appointment.

    Students with SLD, disability or other regularly certified special educational needs are advised to contact the instructor at the beginning of the course to agree on teaching and examination methods that, in compliance with the course objectives, take into account the individual learning requirements.

    ASSESSMENT METHODS

    The oral examination will allow verifying the acquired knowledge of the student regarding the theory of the different measurement techniques, as well as the mathematical foundations of the different post processing algorithms. With the exercise the capability of the student in the development of a Matlab program aimed at the statistical and dynamical inspection of an ensemble of data will be verified.

    Exam schedule

    Date Time Location Type Notes
    16/02/2023 10:00 GENOVA Esame su appuntamento
    15/09/2023 10:00 GENOVA Esame su appuntamento