项目名称: 空间三维可视化测试技术中的映射混淆机理研究
项目编号: No.51206168
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 工程热物理与能源利用学科
项目作者: 刘艳
作者单位: 中国科学院工程热物理研究所
项目金额: 25万元
中文摘要: 复杂的流体力学问题亟待借助先进流动实验测量手段进行深入研究,而现有的点、面测量技术,不论二维还是三维,都无法满足研究日益深入的工业界和学术界的需求,研究开发三维时、空同步的一定体积流场的测量技术成为现代测量技术研究的热点、难点。本项目针对现有测试技术的不足,以空间三维流动测试技术中最有潜力的3DPIV技术为开发方向,研究示踪粒子空间定位和时序匹配的方法,探索映射混淆发生的内在机理,以期突破现有技术发展的瓶颈;项目拟采用模拟合成和实验采集两种方式获取旋流透视图像,尽可能从图像本身提取流体流动的力学信息,探索3DPIV技术中映射混淆的消减方法,增强3DPIV技术的适用性。最后,拟利用人工合成图像和实验,对新开发的3DPIV算法和已有的Tomography PIV,Stereo-PIV算法进行精度对比测试。
中文关键词: 三维粒子成像测速技术;模糊聚类;时序卡尔曼滤波;空间卡尔曼滤波;
英文摘要: For complex three dimensional flow structures in hydromechanics, that's far from enough to deeply study by state-of-the-art experimental tools. But conventional stereoscopic measurement methods, single-point, planar or scanning measurement technique, two dimensional two component or two dimensional three components velocimetry, can't satisfy the common requirement in a range of industrial and academic settings. So, modern measurement techniques focus on a novel three dimensional, timing, three component(3Dt3C) volumetric flow measurement technology. In this object, a most potential 3Dt3C visualization measurement- - 3DPIV technology is developed. The mechanism of spacing position matching and timing movement matching will be carefully investigated to discover the mapping confusion mechanism and break the development bottleneck of existing technologies. Three dimensional perspective images will be obtained by artificial method and swirl fluid experiment to validate the mapping algorithm. New method will extract the fluid flow mechanics information as far as possible from the perspective images to seek the reducing-fake-volunteers method to enhance the 3DPIV technology. In the end, a challenge between new 3DPIV, tomography PIV and stereo-PIV will perform, based on artificial images and experimental images.
英文关键词: 3DPIV;Fuzzy Clustering Algorithm;Sequential Kalman filter;spatial Kalman filter;