空气耦合超声光谱及其在农用工业中的潜在应用

D. Collazos-Burbano, J. L. Ealo Cuello, G. Torres, A. Barandica, T. G. Gomez Alvarez-Arenas
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引用次数: 1

摘要

超声光谱技术是一种新的用于提取植物组织参数和农工材料性质的替代技术。美国的技术涉及一种空气耦合超声换能器的传输装置,以非接触式和非侵入式的方式进行检查。对于一些不能与感官系统接触的样品,这是一个优势。在这项工作中,我们测试了Helliconia叶片和纸样品,重点提取了样品的密度、声速、声衰减和厚度等力学性能。特别感兴趣的是向日葵叶片的自然振动模式与水分含量之间的关系。声波在三种介质(空气-样品-空气)中传播的反问题是声波性质提取的关键。结果表明,该方法可以在误差小于12%的情况下对这些特征进行估计。此外,还进行了灵敏度分析,以研究数值方法在噪声存在下的工作效果,在信噪比低至6dB的情况下,计算误差最小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Air-coupled ultrasound spectroscopy and its potential application in agro-industry
Ultrasonic Spectroscopy (US) is a new alternative technique to extract parameters of vegetal tissues and properties of agro-industrial materials. The US technique involves a set-up in transmission of air-coupled ultrasonic transducers to make inspections contactless and in a non-invasive way. This is an advantage for some samples which cannot be in contact with the sensorial system. In this work we have tested Helliconia leaves and paper samples, focusing in the extraction of mechanical properties as density, acoustic velocity, acoustic attenuation and thickness of samples. Special interest is the relationship between the natural vibration mode and the water content in Helliconia leaves. The extraction of properties involves the solution of an inverse problem associated with the transmission of acoustic waves in three media (air-sample-air). Results show that estimation of these characteristics can be obtained with errors less than 12%. Also, a sensitivity analysis was performed to study how well the numerical method works in presence of noise, obtaining minimum errors in computations at signals to noise ratios as low as 6dB.
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