3DPIV粒子成像测速(升级)Dantec

发布者:系统管理员发布时间:2016-04-05浏览次数:28

 

介绍:现代的粒子图像速度仪(以下简称PIV)技术是随着计算机技术和数码相机技术的发展而始与九十年代初期,目的是研究透明流体,如液流或气流等,同一时刻在某个平面内的速度场分布。以往传统的流体测速技术,如皮托管、热线仪、激光多普勒测速仪等,它们共同的局限是一次只能测量流体内部一个点处的流速,若想获得一个平面内各处的速度分布图,则需事先在平面内划分出许多网格点,再以仪器逐点进行测量,最后把各点数据综合起来处理绘制。由于各点处数据的采集不是同时的,需顺序进行,所以各点的数据在时间上无相关性,因而只在流速随时间规律变化的情况下才有意义。若变化规律不可知,则传统仪器所测量的数据仅对当时当地有效,对全局无意义。实际中很多流体的变动规律是不可知的,因而限制了传统测量方法在这些场合中的应用。鉴于传统仪器在这类测量中的局限,能克服这种缺点的粒子图像速度仪技术则应运而生。PIV技术的另一优势是完全光学测量,不需在流场内部放置探头,对流场无扰动。

主要特点:

1)      高精度全自动多网格迭代互相关算法

2)      全球独家非结构网格PIV算法

3)      可实现与模拟参量同步测量,并配有波形分析软件模块

4)      具有特征追踪功能的增强型PTV算法

5)      可实现POD(本征正交分解)分析

6)      可实现OPD(振荡模式分解)分析,对流场的结构、标量进行基于特征值方法的时间及空间稳定性分析

Introduction:Volumetric Velocimetry (VV) also known as 3D PIV or Tomo PIV provides truly volumetric velocity data, using to four cameras with telecentric lenses, and a thick light sheet or a scanning thick light sheet. Time-resolved VV solutions using time-resolved CMOS cameras, as well as “classical” solutions with CCD cameras are available. For low to medium seeding concentration, Particle Tracking Velocimetry (PTV) is used with two or three cameras, whereas for high seeding concentration (like PIV) a Least Squares Matching (LSM) algorithm provides 3 velocity components in a 3D volume, often described as 3D-3C (3 dimensions - 3 components). With volumetric velocity information available, visualising and understanding the data is a challenge. DynamicStudio supports true 3D visualisation using speical shutter glasses and a monitor capable of 3D viewing. This greatly helps understanding the spatial flow structures.

Features:

1)      Non intrusive, planar or volumetric technique    

2)      Velocity range 0 to supersonic

3)      Two or three velocity components simultaneously      

4)      Measurement areas from smaller than 1 mm2 up to bigger than 1 m2

5)      Snapshots of flowfields 

6)      Instantaneous velocity vector maps in a cross-section or volume of the flow

7)      Statistics, spatial correlations and other relevant data are available    

8)      Results are similar to computational fluid dynamics, i.e. large eddy simulations.

 

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