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使用粒子图像测速技术估计50cc宾夕法尼亚州立大学人工心脏内的壁面剪切率。

Wall shear-rate estimation within the 50cc Penn State artificial heart using particle image velocimetry.

作者信息

Hochareon Pramote, Manning Keefe B, Fontaine Arnold A, Tarbell John M, Deutsch Steven

机构信息

The Pennsylvania State University, Department of Bioengineering, University Park, PA 16802, USA.

出版信息

J Biomech Eng. 2004 Aug;126(4):430-7. doi: 10.1115/1.1784477.

Abstract

Particle image velocimetry (PIV) has been gaining acceptance as a routine tool to evaluate the flow fields associated with fluid mechanical devices. We have developed algorithms to investigate the wall shear-rates within the 50cc Penn State artificial heart using low magnification, conventional particle image velocimetry (PIV). Wall shear has been implicated in clot formation, a major post-implant problem with artificial hearts. To address the issues of wall scattering and incomplete measurement volumes, associated with near wall measurements, we have introduced a zero masking and a fluid centroid shifting technique. Simulations using different velocity fields were conducted with the techniques to assess their viability. Subsequently, the techniques were applied to the experimental data collected. The results indicate that the size of the interrogation region should be chosen to be as small as possible to maximize resolution while large enough to ensure an adequate number of particles per region. In the current study, a 16 x 16 interrogation window performed well with good spatial resolution and particle density for the estimation of wall shear rate. The techniques developed with PIV allow wall shear-rate estimates to be obtained from a large number of sites at one time. Because a planar image of a flow field can be determined relatively rapidly, PIV may prove useful in any preliminary design procedure.

摘要

粒子图像测速技术(PIV)已逐渐被认可为评估与流体机械设备相关的流场的常规工具。我们已开发出算法,利用低倍率的传统粒子图像测速技术(PIV)来研究50cc宾夕法尼亚州立大学人工心脏内的壁面剪切速率。壁面剪切与血栓形成有关,而血栓形成是人工心脏植入后出现的一个主要问题。为了解决与近壁测量相关的壁面散射和测量体积不完整的问题,我们引入了零掩蔽和流体质心偏移技术。使用不同速度场对这些技术进行了模拟,以评估其可行性。随后,将这些技术应用于所收集的实验数据。结果表明,询问区域的大小应选择得尽可能小,以最大化分辨率,同时又要足够大,以确保每个区域有足够数量的粒子。在当前研究中,一个16×16的询问窗口在估计壁面剪切速率时表现良好,具有良好的空间分辨率和粒子密度。利用PIV开发的这些技术能够一次性从大量位置获得壁面剪切速率估计值。由于流场的平面图像能够相对快速地确定,PIV在任何初步设计过程中可能都很有用。

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