Acoustic Measurements for Determination of the Materials Damping Using A Sound Source Localisation System

被引:2
|
作者
Goeken, J. [1 ]
Swiostek, J. [2 ]
Hurdelbrink, H. [1 ]
Keil, U. [1 ]
机构
[1] Univ Appl Sci Emden Leer, Fac Maritime Studies, D-26789 Leer, Germany
[2] Stalomax, Co High Precis Mech, PL-37450 Stalowa Wola, Poland
关键词
Magnesium; Noise measurements; Microflown (TM); Damping; EXTRUSION; ALLOYS; AZ31;
D O I
10.1007/s40195-012-0155-8
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Noise measurements are especially a problem when the object under investigation is largely dimensioned and can only be measured from the distance. To obtain information about the location of noise generation, a measurement technique which makes sound visible in order to introduce further specific technical measures is advantageous. The question is if the time dependence of the signal got from such a non touching and non destructive acoustic method has the potential to calculate the materials damping from. Using a small sound source localization system (Microflown (TM) probe), specimens of magnesium alloys with different grain sizes obtained by hydrostatic extrusion were investigated. It has been demonstrated that the fine grained microstructure led to a lower damping and its dependence on the strain was reduced. In this context, acoustic measurements by a sound source localisation system which makes materials characterization possible could be used as a quality tool to detect changes in highly stressed components. This approach allows to promote a selective substitution of conventional materials by more innovative ones. The offshore sector is considered to be a field of application: Wind turbines produce noise emission which stems mainly from turbulences at the tips of the rotor blades and vibrations of components inside the nacelle (e.g. gearbox, generator, ...). If the vibration amplitudes are too high, microcracks of components can lead to failure over the long term. The monitoring of microstructural changes using a larger type of a sound source localisation system is considered as an innovative technical approach with respect to maintenance activities.
引用
收藏
页码:113 / 121
页数:9
相关论文
共 50 条
  • [1] Acoustic measurements for determination of the materials damping using a sound source localisation system
    J. Göken
    J. Swiostek
    H. Hurdelbrink
    U. Keil
    Acta Metallurgica Sinica (English Letters), 2013, 26 : 113 - 121
  • [2] Acoustic Measurements for Determination of the Materials Damping Using A Sound Source Localisation System
    J. Gken
    J. Swiostek
    H. Hurdelbrink
    U. Keil
    ActaMetallurgicaSinica(EnglishLetters), 2013, 26 (02) : 113 - 121
  • [3] LOCALISATION OF SOUND SOURCE USING MULTIPLE MICROPHONES
    Stamos, Athanassios
    Vassilaki, Dimitra
    Tzouvadakis, Ioannis
    Zygouras, Christos
    Vougioukas, Emmanouil
    PROCEEDINGS OF THE 23RD INTERNATIONAL CONGRESS ON SOUND AND VIBRATION: FROM ANCIENT TO MODERN ACOUSTICS, 2016,
  • [4] Acoustic Source Localisation using Distributed Sensing
    Rosalie, Cedric
    Rajic, Nik
    Norman, Patrick
    Davis, Claire
    STRUCTURAL HEALTH MONITORING - FROM SENSING TO DIAGNOSIS AND PROGNOSIS, 2017, 188 : 499 - 507
  • [5] Acoustic source localisation using vibroacoustic beamforming
    Karimi, Mahmoud
    Maxit, Laurent
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 199
  • [6] Evaluation of sound velocity inside underwater acoustic materials using test panel acoustic measurements
    Audoly, C.
    10TH ANGLO-FRENCH PHYSICAL ACOUSTICS CONFERENCE (AFPAC 2011), 2012, 353
  • [7] DIRECT MEASUREMENTS OF ACOUSTIC DAMPING AND SOUND AMPLIFICATION IN CORRUGATED PIPES WITH FLOW
    Golliard, Joachim
    Belfroid, Stefan
    Vijlbrief, Olav
    Lunde, Knud
    PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE - 2015, VOL 4, 2015,
  • [8] Localisation of a Sound Source in Different Positions Using Kinect Sensors
    Orchard, Jason
    Hioka, Yusuke
    2014 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS), 2014, : 131 - 135
  • [9] Acoustic emission source localisation on bone using multiple regression
    O'Toole, J. (otoole.pjohn@gmail.com), 1600, Inderscience Enterprises Ltd. (04):
  • [10] Determination of bubble characteristics in bubble columns using statistical analysis of acoustic sound measurements
    Al-Masry, WA
    Ali, EM
    Aqeel, YM
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 2005, 83 (A10): : 1196 - 1207