Accurate PIV measurement on slip boundary using single-pixel algorithm

Accurate PIV measurement on slip boundary using single-pixel algorithm
复制标题

使用单像素算法对滑移边界进行精确 PIV 测量

DOI:
10.1088/1361-6501/ac42b1
复制
发表时间:
2022
影响因子:
2.4
通讯作者:
Huiling Duan
Huiling Duan
中科院分区:
工程技术3区
文献类型:
--
作者:
Hongyuan Li;Yufan Cao;Xiangyu Wang;Xia Wan;Yaolei Xiang;Huijing Yuan;Pengyu Lv;Huiling Duan

文献摘要

被引文献

相似文献

抽象。用粒子图像测速技术(PIV)精确测量近壁流动是一个很大的挑战,特别是对于滑移边界条件。除了高精度的测量,一个适当的PIV算法是重要的,以解决近壁速度分布。在我们的研究中,单像素算法被用来计算近壁流动,这被证明是能够准确地解决滑移边界条件附近的流速。基于合成粒子图像,与传统的窗口相关算法进行了比较,表明了单像素算法的优越性。特别是对于滑移边界条件,单像素算法具有较高的空间分辨率和精度,以及较低的系统误差和随机误差。为了验证该算法的有效性,在气液界面上进行了微PIV测量,并将单像素算法成功地应用于滑移边界条件下近壁面速度的计算,特别是负滑移速度的计算。目前的工作表明单像素算法在分析滑移边界条件下的复杂流动,如减阻,壁面摩擦评估,近壁涡结构测量的优势。
Abstract. To accurately measure the near-wall flow by particle image velocimetry (PIV) is a big challenge, especially for the slip boundary condition. Apart from high-precision measurements, an appropriate PIV algorithm is important to resolve the near-wall velocity profile. In our study, the single-pixel algorithm is employed to calculate the near-wall flow, which is demonstrated to be capable of accurately resolving the flow velocity near the slip boundary condition. Based on synthetic particle images, the advantages of the single-pixel algorithm are manifested in comparison with the conventional window-correlation algorithm. In particular, the single-pixel algorithm has higher spatial resolution and accuracy, and lower systematic error and random error for the case of the slip boundary condition. Furthermore, for experimental verification, micro-PIV measurements are conducted over a liquid–gas interface, and the single-pixel algorithm is successfully applied to the calculation of near-wall velocity under the slip boundary condition, especially negative slip velocity. The current work demonstrates the advantages of the single-pixel algorithm in analyzing complex flows under the slip boundary condition, such as in drag reduction, wall skin-friction evaluation, and near-wall vortex structure measurement.