DEVELOPMENT OF PIV MEASUREMENT SYSTEM FOR ELUCIDATING MICRO-MECHANISM OF FLOW

开发用于阐明流动微观机制的 PIV 测量系统

• 批准号: 10650166
• 负责人: YAMAMOTO Fujio
• 金额: $ 2.24万
• 依托单位: Fukui University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1998
• 资助国家: 日本
• 起止时间: 1998 至 2000
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-10650166/
• 关键词: FLUIDS ENGINEERING; PARTICLE IMAGE VELOCIMETRY; MICRO-MECHANISM; MULTIPHASE FLOW; IMAGE PROCESSING; VISUALIZATION

Investigation of micro-mechanism of flow fields becomes important in the research of environmental pollution, chemical reaction, micro-gravity devices, semiconductors, and biotechnology. Our group has been focussing on development of Particle Image Velocimetry (PIV) in order to elucidate the detailed structure of various type flows. In the period of the present project, three main advances have been achieved as follows.Yamamoto developed brand new algorithm for PIV using Dellaunay tesselation particle tracking method, velocity gradient tensor particle tracking method, and Fuzzy logic based particle tracking method. Computation speed is much improved with revision of trackability in highly deformed flow field. Ohta succeeded in measuring micro-scale flow structure in the flow driven by surface tension, turbulent jet flow, and particulate flow. Resolution of PIV is evaluated by comparing the data with Laser Doppler Velocimeter, In-line Holographic PIV.Murai developed the application method of PIV to multiphase flows, and highly accurate post-processing algorithm for Particle Tracking Velocimetry. Microscopic structure of turbulence in bubbly flow could be captured by combination of PIV and the post-processing.

流场微观机理的研究在环境污染、化学反应、微重力装置、半导体、生物技术等领域具有重要意义。我们的团队一直致力于发展粒子图像测速技术（PIV），以阐明各种类型的流动的详细结构。在本项目期间，主要取得了以下三个方面的进展：Yamamoto开发了一种全新的PIV算法，使用Dellaunay细分粒子跟踪方法、速度梯度张量粒子跟踪方法和基于模糊逻辑的粒子跟踪方法。对大变形流场的可跟踪性进行修正，大大提高了计算速度。Ohta成功地测量了由表面张力、湍流射流和颗粒流驱动的流动中的微尺度流动结构。通过与激光多普勒测速仪、在线全息粒子图像测速仪的数据进行比较来评估粒子图像测速仪的分辨率。Murai开发了粒子图像测速仪在多相流中的应用方法，以及用于粒子跟踪测速的高精度后处理算法。PIV技术与后处理技术相结合，可以捕捉泡状流湍流的微观结构。

项目成果

M.Iguchi, K.Okita F.Yamamoto: "Mean Velocity and Turbulence Characteristics of Water Flow in the Bubble Dispersion Region Induced by Plunging Water"International Journal of Multiphase Flow. Vol.24, No.4. 523-537 (1998)

M.Iguchi、K.Okita F.Yamamoto：“由落水引起的气泡分散区域中水流的平均速度和湍流特性”国际多相流杂志。

Y.Murai, K.Fujimoto, T.Ishiguro, F.Yamamoto: "Numerical Analysis of Two-phase Convection around Cylinders in Bubbly Flows"Trans.JSME (B). 66-646. 1273-1280 (2000)

Y.Murai、K.Fujimoto、T.Ishiguro、F.Yamamoto：“气泡流中圆柱周围两相对流的数值分析”Trans.JSME (B)。

村井祐一: "第二回オーガナイズド混相流フォーラム'98講演論文集" 日本混相流学会・学術出版印刷, 152 (1998)

Yuichi Murai：“第二届组织多相流论坛98讲座论文集”日本多相流学会学术出版印刷，152（1998）

L.Shen: "A Method for Recognizing Particles in Overlapped Particle Images"Journal of Pattern Recognition Letters. 21-1. 21-30 (2000)

L.Shen：“一种在重叠粒子图像中识别粒子的方法”模式识别快报杂志。

M.Ishikawa, Y.Murai, A.Wada, M.Iguchi, K.Okamoto, F.Yamamoto: "A Novel Algorithm for Particle Tracking Velocimetry using the Velocity Gradient Tensor"Experiments in Fluids. Vol.29, No.6. 519-531 (2000)

M.Ishikawa、Y.Murai、A.Wada、M.Iguchi、K.Okamoto、F.Yamamoto：“使用速度梯度张量进行粒子跟踪测速的新算法”流体实验。