Stamhuis E, Videler J
J Exp Biol. 1995;198(Pt 2):283-94. doi: 10.1242/jeb.198.2.283.
Two alternative particle image velocimetry (PIV) methods have been developed, applying laser light sheet illumination of particle-seeded flows around marine organisms. Successive video images, recorded perpendicular to a light sheet parallel to the main stream, were digitized and processed to map the flow velocity in two-dimensional planes. In particle tracking velocimetry (PTV), displacements of single particles in two subsequent images were determined semi-automatically, resulting in flow diagrams consisting of non-uniformly distributed velocity vectors. Application of grid-cell averaging resulted in flow field diagrams with uniform vector distribution. In sub-image correlation PIV (SCPIV), repetitive convolution filtering of small sub-areas of two subsequent images resulted in automatic determination of cross-correlation peaks, yielding flow field diagrams with regularly spaced velocity vectors. In both PTV and SCPIV, missing values, caused by incomplete particle displacement information in some areas of the images or due to rejection of some erroneous vectors by the vector validation procedure, were interpolated using a two-dimensional spline interpolation technique. The resultant vector flow fields were used to study the spatial distribution of velocity, spatial acceleration, vorticity, strain and shear. These flow fields could also be used to test for flow in the third dimension by studying the divergence, and to detect the presence and location of vortices. The results offer detailed quantitative descriptions of the flow morphology and can be used to assess dissipated energy. The versatile character of the technique makes it applicable to a wide range of fluid mechanical subjects within biological research. So far it has been successfully applied to map the flow around swimming copepods, fish larvae and juvenile fish and the ventilation current of a tube-living shrimp.
已经开发出两种替代粒子图像测速(PIV)方法,用于对海洋生物周围的粒子流进行激光片光照明。与平行于主流的光片垂直记录的连续视频图像被数字化并进行处理,以绘制二维平面内的流速图。在粒子跟踪测速(PTV)中,半自动确定单个粒子在两个后续图像中的位移,从而得到由分布不均匀的速度矢量组成的流线图。应用网格单元平均法得到了矢量分布均匀的流场图。在子图像相关PIV(SCPIV)中,对两个后续图像的小子区域进行重复卷积滤波,自动确定互相关峰值,得到速度矢量等间距的流场图。在PTV和SCPIV中,由于图像某些区域的粒子位移信息不完整或矢量验证程序拒绝了一些错误矢量而导致的缺失值,使用二维样条插值技术进行插值。所得的矢量流场用于研究速度、空间加速度、涡度、应变和剪切力的空间分布。这些流场还可用于通过研究散度来测试三维流,并检测涡旋的存在和位置。结果提供了流动形态的详细定量描述,可用于评估耗散能量。该技术的通用性使其适用于生物研究中的广泛流体力学课题。到目前为止,它已成功应用于绘制桡足类、仔鱼和幼鱼游动时周围的水流以及管栖虾的通风水流。