体视层析粒子成像测速系统(Tomo-PIV)

层析PIV

湍流本质上具有三维（3D）立体结构属性。普通的二维（2D）包 括采用激光照明的成像测量无法在所有三个空间维度上分辨湍流 的结构。而利用多视角成像信息，采用层析重构技术则可以在三 个空间维度上同时捕捉记录复杂流动的瞬态结构。应用针对体像 素的三维（3D）相关处理技术，可以由时间相关的体成像数据计 算出瞬态三维空间的流场。 LaVision功能强大的，基于层析粒子成像测速（Tomo-PIV）和层 析粒子跟踪测速（Tomo-PTV）技术的FlowMaster激光成像系统， 能够以极高的空间分辨率记录强湍流，火焰以及喷雾对象的瞬态 体视流场。

利用2维粒子成像测速技术研究鲨鱼自由游动的水动力学推动机制用于优化水中船舶的推进特性

Two-dimensional velocity fields around a freely swimming freshwater black shark fish in longitudinal (XZ) plane and transverse (YZ) plane are measured using digital particle image velocimetry (DPIV). By transferring momentum to the fluid, fishes generate thrust. Thrust is generated not only by its caudal fin, but also using pectoral and anal fins, the contribution of which depends on the fish’s morphology and swimming movements. These fins also act as roll and pitch stabilizers for the swimming fish. In this paper, studies are performed on the flow induced by fins of freely swimming undulatory carangiform swimming fish (freshwater black shark, L = 26 cm) by an experimental hydrodynamic approach based on quantitative flow visualization technique. We used 2D PIV to visualize water flow pattern in the wake of the caudal, pectoral and anal fins of swimming fish at a speed of 0.5–1.5 times of body length per second.

气体自由喷射的单次体视3维层析激光诱导荧光成像研究

Single-shot, tomographic imaging of the three-dimensional concentration field is demonstrated in a turbulent gaseous free jet in co-flow using volumetrically illuminated laser-induced fluorescence. The fourthharmonic output of an Nd:YAG laser at 266 nm is formed into a collimated 15 × 20 mm2 beam to excite the ground singlet state of acetone seeded into the central jet. Subsequent fluorescence is collected along eight lines of sight for tomographic reconstruction using a combination of stereoscopes optically coupled to four two-stage intensified CMOS cameras. The performance of the imaging system is evaluated and shown to be sufficient for recording instantaneous three-dimensional features with high signal-tonoise (130:1) and nominal spatial resolution of 0.6–1.5 mm at x/D = 7–15.5.

第三届国际PIV评测活动（PIV Challenge）总结报告

本文给出了第三届国际PIV评测活动（PIV Challenge）的主要结果。这次评测是和PIV05国际研讨会在相同地点，相同时间举行的相关活动。本文介绍了评测活动的宗旨，描述了测试的项目和参与单位采用的相关算法，给出了主要的评测结果和相关分析，同时给出了对于各种不同的PIV和PTV算法的精度和鲁棒特性的总结。由于所得到的全部结果内容较多，无法在此文种尽述。因此本文只能起到使用全部的数据库文件，图像和结果的向导的作用。详细数据可访问http://www.pivChallenge.org.获得。 --------------------------------------------------------------------- 想要获得本文全文的朋友请联系： 北京欧兰科技发展有限公司 ----------------------------------------------------------------------------------------------------- 北京市海淀区上地十街1号辉煌国际中心1号楼1006室。邮编100085 电话: +86-10-62623871,62616041,62612809-18 传真: +86-10-59713638 手机:13001184981,13611196791 电邮: oplan@263.net oplanchina@gmail.com 网址: www.oplanchina.com www.dpiv.cn ------------------------------------------------------------------------------------------------------

DaVis-PIV系统图像数据采集和硬件控制的集成软件平台

DaVis是德国LaVsion公司推出的应用于反应和非反应流场测量，材料表面成像和追迹以及超快成像的智能（激光）成像技术的完整软件平台。 DaVis以灵活的图像采集模块，可用户定制的应用界面和特殊应用软件包三大特色功能成就了完美的成像系统所需软件。 DaVis软件可满足用户以纳秒量级的精度进行相机曝光，外部照明以及外部触发的同步控制并能自由选择采集图像序列。除此之外，DaVis软件拥有各种成像设置和控制的功能。 DaVis软件对用户开放，这种特色结合软件本身的宏命令语言，能够使得成像系统快速适应从高深的科学研究到可靠的工业应用等各种不同测量需求。 不仅如此，DaVis还拥有灵活的图像采集模式，先进的图像处理算法，多维图像数据的智能存储和显示，多种硬件的软件控制等功能。 集成了2DPIV和3DPIV功能模块的DaVis软件，参加了连续三年的PIVChallenge（http://www.pivchallenge.org）评测活动，均取得了优异成绩。客观证明了DaVis软件平台的出色性能。 PIVChallenge的组织者将两次PIVChallenge 活动的结果作了详尽的总结，并将结果发表在了公开的网站和杂志上。有关文章和下载网址如下： 1. Stanislas M, Okamoto K, Kaehler C (2003) Main results of the First International PIV Challenge. Meas Sci Technol 14:R63-R89 下载地址： http://stacks.iop.org/0957-0233/14/R63 或： http://www.oplanchina.com/download/Stanislas PIV challenge 2001.pdf 2. Stanislas M, Okamoto K, Kaehler C, Westerweel J (2005) Main results of the Second International PIV Challenge. Exp Fluids 39: 170-191 下载地址：http://www.oplanchina.com/download/PIV Challenge 2003 Results.pdf

粒子成像测速PIV测量中速度矢量不确定度的定量分析

The latest issue of the journal Measurement Science and Technology is focusing on uncertainty quantification in Particle Image Velocimetry The need to put an uncertainty band on a PIV vector has long been missing in the PIV community. In recent years, several methods that address this need have emerged in the literature. For this reason, Measurement Science and Technology is addressing uncertainty quantification in PIV with its recent issue. In addition to an editorial written by Prof. Kenneth T. Christensen and Prof. Fulvio Scarano, this issue contains four papers dealing with uncertainty quantification in Particle Image Velocimetry. Three of these papers are from LaVision and its research collaboration partners. These papers are (1) the introduction of the correlation statistics (CS) method, (2) the creation of an experimental database for evaluating existing PIV uncertainty methods, (3) a detailed comparison of existing PIV uncertainty methods (using this database). Please find more information about the latest issue here. Share this article: