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SYSTEMATIC ERROR OF ACOUSTIC PARTICLE IMAGE VELOCIMETRY AND ITS CORRECTION

机译:声粒子图像的系统误差速度测量学及其修正

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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:粒子图像测速技术显现的越来越多不仅为更多的方法选择在流体湍流的可视化质量流在线性和非线性力学,也声学的非侵入性的可视化声音粒子速度。测速采样率较低(约15赫兹)可以应用于声场可视化使用采集同步的激励信号。技术描述和用于实验本文提出的。是提出一个模型的PIV系统误差由于非零间隔时间收购两个图像检测的声音田间播种与示踪粒子,什么影响复杂的声学信号的测量。提出模型的有效性确认实验。该模型,应用于测量数据的准确性增加声粒子速度场可视化和创建新的在观察的领域的可能性兴奋与multi-tonal或限带噪声信号。

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