Phase-Locked Particle Image Velocimetry Visualization of the Sound Field at the Outlet of a Circular Tube

Weyna, Stefan; Mickiewicz, Witold

doi:10.12693/aphyspola.125.a-108

Cited by 9 publications

(3 citation statements)

References 16 publications

(5 reference statements)

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“…In our research velocity data are acquired with a 2D PIV system (Weyna et al, 2013;Weyna, Mickiewicz, 2014). System consists of a high-resolution CCD camera, a dual-head Nd:Yag laser (Litron LasersNano piv), a frame grabber, a synchronizing device and a computer.…”

Section: Particle Image Velocimetry (Piv)mentioning

confidence: 99%

Multi-Modal Acoustic Flow Decomposition Examined in a Hard Walled Cylindrical Duct

Weyna¹,

Mickiewicz²

2015

Archives of Acoustics

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Flow fields could be of great interest in the study of sound propagation in aeroengines. For ducts with rigid boundaries, the fluid-resonant category may contribute significantly to unwanted noise. An understanding of the multi-modal propagation of acoustic waves in ducts is of practical interest for use in the control of noise in, for example, aero-engines, automotive exhaust and heating or ventilation systems. The purpose of our experiments was to test the acoustic energy transmission of duct modes based on studies carried out by the sound intensity technique. Sound intensity patterns in circular duct are discussed of modal energy analysis with particular reference to proper orthogonal decomposition and dynamic mode decomposition. The authors try to justify some advantages of the sound intensity experimental research in this area. In the paper, the wide-band sound signal propagated from source approximated with loudspeaker in hard-walled duct is imaged using a sound intensity -based approach. For a simple duct geometry, the sound intensity field is examined visually and by performing a modal decomposition greater insight into the acoustic structures is obtained. The image of sound intensity fields below and above "cut-off" frequency region are found to compare acoustic modes which might resonate in duct.

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Section: Particle Image Velocimetry (Piv)mentioning

confidence: 99%

Multi-Modal Acoustic Flow Decomposition Examined in a Hard Walled Cylindrical Duct

Weyna¹,

Mickiewicz²

2015

Archives of Acoustics

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“…If we use a simple tone as an excitation signal, phase number is about a few to tens [6][7][8][9]. Many authors mention the use of phase-locked PIV in their investigation of hydrodynamic field excited acoustically [10][11][12][13].…”

Section: Phase-locked Particle Image Velocimetrymentioning

confidence: 99%

Systematic Error of Acoustic Particle Image Velocimetry and Its Correction

Mickiewicz¹

2014

Metrology and Measurement Systems

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Particle Image Velocimetry is getting more and more often the method of choice not only for visualization of turbulent mass flows in fluid mechanics, but also in linear and non-linear acoustics for non-intrusive visualization of acoustic particle velocity. Particle Image Velocimetry with low sampling rate (about 15Hz) can be applied to visualize the acoustic field using the acquisition synchronized to the excitation signal. Such phaselocked PIV technique is described and used in experiments presented in the paper. The main goal of research was to propose a model of PIV systematic error due to non-zero time interval between acquisitions of two images of the examined sound field seeded with tracer particles, what affects the measurement of complex acoustic signals. Usefulness of the presented model is confirmed experimentally. The correction procedure, based on the proposed model, applied to measurement data increases the accuracy of acoustic particle velocity field visualization and creates new possibilities in observation of sound fields excited with multi-tonal or bandlimited noise signals.

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“…It is know that measurements often provide an objective basis for making decisions. The interferences can lead to wrong analysis of the informations carried by measured data [2], [3]. The elimination of such signals is called filtering in terms of frequency.…”

Section: Introductionmentioning

confidence: 99%

Time-varying FIR notch filter implementation using Raspberry Pi

Kocon

Piskorowski

2015

2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR)

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In this paper a hardware implementation of the finite impulse response narrow band-stop time-varying filter based on the infinite impulse prototype filter is proposed. The notch filter is used for removing power-line interferences from biomedical source, i.e. ECG signal. In order to suppress the transient state of the proposed filter, the pole radius and the pole angle of the prototype filter are temporarily varied in time. The proposed filters are tested using sinusoidal and ECG signals. The algorithm for computing the filter coefficients is presented. Computer simulations, and performance indexes demonstrate that the proposed filter possesses better properties than traditional timeinvariant notch filter. Moreover, the hardware implementation of the presented filter using Raspberry Pi platform has been presented.

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Phase-Locked Particle Image Velocimetry Visualization of the Sound Field at the Outlet of a Circular Tube

Cited by 9 publications

References 16 publications

Multi-Modal Acoustic Flow Decomposition Examined in a Hard Walled Cylindrical Duct

Multi-Modal Acoustic Flow Decomposition Examined in a Hard Walled Cylindrical Duct

Systematic Error of Acoustic Particle Image Velocimetry and Its Correction

Time-varying FIR notch filter implementation using Raspberry Pi

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