基于互相关算法的液力偶合器内部流场分析
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国家高技术研究发展计划(863计划)资助项目(2007AA05Z256)、高等学校博士点专项科研基金资助项目(20100061120057)和吉林大学汽车仿真与控制国家重点实验室创新团队计划资助项目


Analysis of Internal Flow Field in Hydrodynamic Coupling Based on Cross-correlation Algorithm
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    摘要:

    利用PIV技术对液力偶合器内部流场进行了试验测试。针对制动工况(i=0)下液力偶合器涡轮内部流场,以PIV图像连续帧的互相关算法提取其径向切面流速分布,实现了内部流场可视化与速度定量化测量。研究了制动工况下涡轮内部流场结构特征与分布规律,分析了反向流和二次流等现象产生的原因。结果表明,合理设计偶合器内部结构,可减少反向流和二次流的产生,降低了能量损失,提高了工作性能。

    Abstract:

    The internal flow field of hydrodynamic coupling was tested by PIV technology. On the braking condition (i=0), flow velocimetry on radial section of turbine was extracted based on PIV cross-correlation algorithm of two continuous images, visualization and quantitative measurement of internal flow field in hydrodynamic coupling were achieved. Flow structure and velocity distribution of internal flow field in turbine on the braking condition were studied. Reasons caused the reverse flow and secondary flow were analyzed specifically. The results showed that the phenomenon above could be reduced by designing the internal structure of hydrodynamic coupling. It could reduce energy loss and raise its work performance. 

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柴博森,马文星,刘春宝.基于互相关算法的液力偶合器内部流场分析[J].农业机械学报,2011,42(12):38-42.

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  • 在线发布日期: 2011-12-19
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