A guided filter-based 3D hybrid variational optical flow for accurate tomographic PIV measurements

IF 2.3 3区 工程技术 Q2 ENGINEERING, MECHANICAL
Menggang Kang, Hua Yang, Zhouping Yin, Qi Gao, Xiaoyu Liu
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引用次数: 0

Abstract

High spatial resolution and high accuracy estimation of 3D velocity fields are important for tomographic particle image velocimetry (Tomo-PIV), especially when measuring complex flow fields with delicate 3D structures. However, the widely used cross-correlation-based methods have limited spatial resolution, while the recently developed optical flow-based methods have low robustness and are sensitive to particle volume reconstruction errors. Therefore, 3D velocity estimation methods that simultaneously exhibit high resolution and robustness must be developed. In this study, we propose a novel velocity estimation method for Tomo-PIV measurement using the guided filter-based 3D hybrid variational optical flow (GF-HVOF) method to achieve high spatial resolution and highly accurate measurement of 3D flow field structure. First, we propose a novel L1-norm regularization term based on the Helmholtz decomposition theorem to preserve the divergence and vorticity of the fluid flow. Second, we propose a guided-filter-based constraint term using the result of the cross-correlation-based method as the guided flow field to improve the robustness of the optical flow method. Third, we propose a hybrid constraint term based on particle tracking velocimetry (PTV) method and a spatially weighted data term to reduce the effect of ghost particles and discrete errors generated during the reconstruction of particle volumes. The newly proposed hybrid method combines the advantages of optical-flow-based and cross-correlation-based methods and corrects the flow field using the PTV method. Velocity fields are estimated over synthetic and experimental particle volumes. The results show that the newly proposed GF-HVOF method achieves better performance and greater measurement accuracy than existing 3D fluid motion estimation methods.

Abstract Image

Abstract Image

基于引导滤波器的三维混合变分光学流,用于精确断层扫描 PIV 测量
高空间分辨率和高精度估计三维速度场对于断层粒子图像测速仪(Tomo-PIV)非常重要,尤其是在测量具有精细三维结构的复杂流场时。然而,广泛使用的基于交叉相关的方法空间分辨率有限,而最近开发的基于光流的方法鲁棒性低,对粒子体积重构误差敏感。因此,必须开发出同时具有高分辨率和鲁棒性的三维速度估算方法。在本研究中,我们提出了一种用于 Tomo-PIV 测量的新型速度估计方法,该方法采用基于导向滤波器的三维混合变分光流(GF-HVOF)方法,以实现高空间分辨率和高精度的三维流场结构测量。首先,我们基于亥姆霍兹分解定理提出了一种新的 L1 正则项,以保持流体流动的发散性和涡度。其次,我们提出了一种基于引导滤波的约束项,使用基于交叉相关方法的结果作为引导流场,以提高光流方法的鲁棒性。第三,我们提出了一种基于粒子跟踪测速(PTV)方法和空间加权数据的混合约束项,以减少重构粒子体积过程中产生的幽灵粒子和离散误差的影响。新提出的混合方法结合了基于光流的方法和基于交叉相关的方法的优点,并使用 PTV 方法校正流场。对合成和实验粒子体积的速度场进行了估算。结果表明,与现有的三维流体运动估算方法相比,新提出的 GF-HVOF 方法性能更好,测量精度更高。
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来源期刊
Experiments in Fluids
Experiments in Fluids 工程技术-工程:机械
CiteScore
5.10
自引率
12.50%
发文量
157
审稿时长
3.8 months
期刊介绍: Experiments in Fluids examines the advancement, extension, and improvement of new techniques of flow measurement. The journal also publishes contributions that employ existing experimental techniques to gain an understanding of the underlying flow physics in the areas of turbulence, aerodynamics, hydrodynamics, convective heat transfer, combustion, turbomachinery, multi-phase flows, and chemical, biological and geological flows. In addition, readers will find papers that report on investigations combining experimental and analytical/numerical approaches.
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