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基于互相關(guān)算法的液力偶合器內(nèi)部流場分析
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國家高技術(shù)研究發(fā)展計劃（863計劃）資助項目（2007AA05Z256）、高等學(xué)校博士點專項科研基金資助項目（20100061120057）和吉林大學(xué)汽車仿真與控制國家重點實驗室創(chuàng)新團隊計劃資助項目


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

    利用PIV技術(shù)對液力偶合器內(nèi)部流場進行了試驗測試,。針對制動工況(i=0)下液力偶合器渦輪內(nèi)部流場,，以PIV圖像連續(xù)幀的互相關(guān)算法提取其徑向切面流速分布,，實現(xiàn)了內(nèi)部流場可視化與速度定量化測量,。研究了制動工況下渦輪內(nèi)部流場結(jié)構(gòu)特征與分布規(guī)律,，分析了反向流和二次流等現(xiàn)象產(chǎn)生的原因,。結(jié)果表明，合理設(shè)計偶合器內(nèi)部結(jié)構(gòu),，可減少反向流和二次流的產(chǎn)生,，降低了能量損失，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,馬文星,劉春寶.基于互相關(guān)算法的液力偶合器內(nèi)部流場分析[J].農(nóng)業(yè)機械學(xué)報,2011,42(12):38-42. Chai Bosen, Ma Wenxing, Liu Chunbao. Analysis of Internal Flow Field in Hydrodynamic Coupling Based on Cross-correlation Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(12):38-42.

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  • 在線發(fā)布日期: 2011-12-19
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