流动图像错误速度矢量的识别与评价

通过对产生错误矢量的原因分析,找出在PIV方法中,搜索域的相关系数分布图的"多峰状态"是产生错误矢量的根源所在,用确定相关域的范围来识别错误矢量.通过综合评价系数对这种识别方法进行综合评判,用于识别水泵水轮机内部流动速度矢量图的错误矢量,可以达到53.4%的精度.

The Recognition and Estimate of Error Velocity Vector of the Flow Images

In the PIV correlation method, because of improper exposal of collection equipment, asymmetric distributing of tracer particle, noise disturbing, computing method and so on, the qualities of flow images are debased, which results in producing error vectors. Bu analyzing the reasons of producing error vectors, it is found that 'multi-peak state' in distributing chart of correlation coefficient of search region is the root of producing error vector in PIV correlation, thereby, to establish the range of correlation region to recognize error vector. The recognition method is judged synthetically by synthetically evaluating coefficient, to recognize error vectors of flow velocity vector graph of pump turbine. The precision can reach 53.4%. Thus it can be seen that it is effective that we can recognize error vector of flow velocity vector graph of complex hydro-machine such as pump turbine by establishing the range of correlation region.