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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Determination of Bubble Size Distribution Using Ultrasound Array Imaging
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Determination of Bubble Size Distribution Using Ultrasound Array Imaging

机译:使用超声阵列成像确定气泡尺寸分布

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In this article, ultrasonic phased arrays are deployed as an imaging tool for industrial process analysis. Such arrays are typically used for sonar, medical diagnosis, and nondestructive testing; however, they have not yet been applied to industrial process analysis. The precise positioning of array elements and high frequencies possible with this technology mean that highly focused images can be generated, which cannot currently be achieved using ultrasound tomography. This article aims to highlight the potential of this technology for the measurement of bubble size distribution (BSD) and to demonstrate its application to both intrusive and noninvasive process measurements. Ultrasound images of bubble reflectors are generated using the total focusing method deployed using a 32-element, 5-MHz linear phased array, and an image processing algorithm for BSD determination is presented and evaluated under stationary and dynamic acquisition conditions. It is found that the sizing accuracy is within 10% for stationary reflectors larger than 4 lambda in diameter and that the algorithm is stable across the expected spatial variation of reflectors. The phased array is coupled to a six-axis robotic arm to scan a solid sample containing bubble reflectors at velocities up to 500 mms(-1). The sizing accuracy is within 45% for bubbles larger than 4 lambda in diameter and at velocities up to 300 mms(-1). However, above this velocity, the algorithm breaks down for reflectors smaller than 9 lambda in diameter. The ultrasound system is applied to a stream of air bubbles rising through water, which is verified via photographic analysis. Images were generated both intrusive and noninvasive, via a 10-mm Perspex barrier, to the process stream. The high bubble density in the process stream introduced scattering, limiting the measurement repeatability and the sample size in the measured distribution. Notwithstanding, this result demonstrates the potential of this technology to size bubbles for intrusive and noninvasive process analyses.
机译:在本文中,超声波相控阵将被部署为工业过程分析的成像工具。这种阵列通常用于声纳,医学诊断和非破坏性测试;但是,它们尚未应用于工业过程分析。通过该技术的阵列元件和高频的精确定位是指可以产生高度聚焦的图像,当前不能使用超声断层扫描来实现。本文旨在突出该技术的潜力,用于测量泡沫尺寸分布(BSD),并展示其在侵入性和非侵入性过程测量中的应用。使用使用32元件,5-MHz线性相控阵列部署的总对焦方法生成的超声图像,并在静止和动态采集条件下呈现和评估BSD确定的图像处理算法。结果发现,尺寸精度在直径为4λ的静止反射器的静止反射器内10%,并且算法跨越反射器的预期空间变化稳定。分阶段阵列耦合到六轴机器人臂,以扫描含有高达500毫米(-1)的速度的气泡反射器的固体样品。施胶精度在直径为4λ的气泡和高达300毫米(-1)的速度范围内的45%。然而,高于这种速度,该算法对于直径小于9λ的反射器,算法分解。超声系统应用于通过水上升的气泡流,通过摄影分析验证。通过10 mm的Perspex屏障将图像侵入性和非侵入性的图像生成到过程流中。过程流中的高气泡密度引入散射,限制测量分布中的测量可重复性和样品尺寸。尽管如此,这一结果表明,这种技术的潜力为侵扰性和非侵入性过程分析的尺寸气泡。

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