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SYSTEMATIC ERROR OF ACOUSTIC PARTICLE IMAGE VELOCIMETRY AND ITS CORRECTION

机译:声学粒子图像速度系统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 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.
机译:粒子图像VENOCIMETRY越来越多的方法,不仅可以用于在流体力学中的湍流质量流动的可视化,而且在线性和非线性声学的可视化,用于声学颗粒速度的非侵扰性可视化。具有低采样速率(约15Hz)的粒子图像速度可以应用使用与激励信号同步的采集来可视化声场。描述并在纸张中呈现的实验中描述并使用这种相平的PIV技术。研究的主要目标是提出由于采用示踪剂粒子的检查声场的两个图像的获取之间的非零时间间隔提出了PIV系统误差的模型,这影响了复杂声信号的测量。实验证实了所提出的模型的有用性。基于所提出的模型的校正过程应用于测量数据的准确性增加了声速场可视化的准确性,并在观察与多色调或带限噪声信号激发的声场观察时产生新的可能性。

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