In the present study, firstly, the unsteady cavitating flows around a hydrofoil are studied based on the flow visualization and detail velocity measurement, a high-speed video camera is used to visualize the flow stru...In the present study, firstly, the unsteady cavitating flows around a hydrofoil are studied based on the flow visualization and detail velocity measurement, a high-speed video camera is used to visualize the flow structures, and a particle image velocimetry （PIV） technique is applied to the measurement of the time-averaged and instantaneous velocity and vorticity fields. The results show that the unsteadiness of mass transfer process between the vapor and the two-phase regions is substantial, a self-oscillatory behavior of the whole sheet cavitation is obtained, with large length fluctuations and vapor cloud shedding, and also the cavitation structure depends on the interaction of the water-vapor mixture and the periodic vortex shedding. The main purpose of this experimental study is to offer information for validating computational models, and shed light on the unsteady multiphase transport process of cavitating flows. Furthermore, with an emphasis on the dynamics of the attached turbulent cavitating flows, a filter-based model （FBM） is derived from the k-6 two-equation model, a conditional averaging method aimed at improving unsteady simulation is applied to computation. In comparison to the standard k-ε model, overall, the filter-based model is shown to improve the predictive capability considerably.展开更多
提出一种采用图像直方图特征(Histogram Feature,HF)函数的自动曝光方法,用于在背景光照快速、大范围变化的情况下对高速相机进行自动曝光控制。首先,采用多点测光对获取的图像进行兴趣区域(Region of Interests,ROIs)提取,以降低系统...提出一种采用图像直方图特征(Histogram Feature,HF)函数的自动曝光方法,用于在背景光照快速、大范围变化的情况下对高速相机进行自动曝光控制。首先,采用多点测光对获取的图像进行兴趣区域(Region of Interests,ROIs)提取,以降低系统测光的计算量。然后,通过计算兴趣区域的HF函数选取大步长对曝光时间进行粗调。最后,通过模糊逻辑计算出曝光时间的精调步长并运用阈值限制实现变步长搜索最佳曝光时间,提高高速相机自动曝光的准确性及稳定性。实验结果表明:本文方法可以在2ms内完成一帧图像的亮度测量并对曝光时间进行调整,相较于基于平均亮度值的传统自动曝光方法,在0~110ms内,光源光照强度从760~23 100lux反复变化时,本文方法获得的图像信息熵比平均亮度值法的信息熵均值提高48.38%,方差降低62.13%,可以提供更好与更稳定的图片细节信息,为后续的自动调焦、图像识别以及目标跟踪提供参考。展开更多
基金supported by the National Natural Science Foundation of China (Grant Nos. 50679001 and 50979004)
文摘In the present study, firstly, the unsteady cavitating flows around a hydrofoil are studied based on the flow visualization and detail velocity measurement, a high-speed video camera is used to visualize the flow structures, and a particle image velocimetry （PIV） technique is applied to the measurement of the time-averaged and instantaneous velocity and vorticity fields. The results show that the unsteadiness of mass transfer process between the vapor and the two-phase regions is substantial, a self-oscillatory behavior of the whole sheet cavitation is obtained, with large length fluctuations and vapor cloud shedding, and also the cavitation structure depends on the interaction of the water-vapor mixture and the periodic vortex shedding. The main purpose of this experimental study is to offer information for validating computational models, and shed light on the unsteady multiphase transport process of cavitating flows. Furthermore, with an emphasis on the dynamics of the attached turbulent cavitating flows, a filter-based model （FBM） is derived from the k-6 two-equation model, a conditional averaging method aimed at improving unsteady simulation is applied to computation. In comparison to the standard k-ε model, overall, the filter-based model is shown to improve the predictive capability considerably.
文摘提出一种采用图像直方图特征(Histogram Feature,HF)函数的自动曝光方法,用于在背景光照快速、大范围变化的情况下对高速相机进行自动曝光控制。首先,采用多点测光对获取的图像进行兴趣区域(Region of Interests,ROIs)提取,以降低系统测光的计算量。然后,通过计算兴趣区域的HF函数选取大步长对曝光时间进行粗调。最后,通过模糊逻辑计算出曝光时间的精调步长并运用阈值限制实现变步长搜索最佳曝光时间,提高高速相机自动曝光的准确性及稳定性。实验结果表明:本文方法可以在2ms内完成一帧图像的亮度测量并对曝光时间进行调整,相较于基于平均亮度值的传统自动曝光方法,在0~110ms内,光源光照强度从760~23 100lux反复变化时,本文方法获得的图像信息熵比平均亮度值法的信息熵均值提高48.38%,方差降低62.13%,可以提供更好与更稳定的图片细节信息,为后续的自动调焦、图像识别以及目标跟踪提供参考。
