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SYSTEMATIC ERROR OF ACOUSTIC PARTICLE IMAGE VELOCIMETRY AND ITS CORRECTION

机译:声粒子图像测速的系统误差及其校正

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摘要

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 phase-locked 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 band-limited noise signals.
机译:粒子图像测速法越来越多地成为一种选择方法,不仅是流体力学中湍流质量可视化的选择方法,而且还包括线性和非线性声学中非侵入式声粒子速度可视化的选择方法。低采样率(约15Hz)的粒子图像测速技术可以应用于与激励信号同步的采集中,以可视化声场。本文介绍了这种锁相PIV技术,并将其用于实验中。研究的主要目的是提出一个PIV系统误差模型,该模型是由于两次获取的示踪粒子播种的被检查声场图像之间的时间间隔不为零而影响了复杂声信号的测量。实验证明了所提出模型的有效性。基于所提出模型的校正程序应用于测量数据,提高了声粒子速度场可视化的准确性,并为观察多音或带限噪声信号激发的声场创造了新的可能性。

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