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喷管式翼缝对垂直轴风力机气动性能影响研究
引用本文:张强,缪维跑,李春,张万福.喷管式翼缝对垂直轴风力机气动性能影响研究[J].机械工程学报,2021,57(22):335-343.
作者姓名:张强  缪维跑  李春  张万福
作者单位:1. 上海理工大学能源与动力工程学院 上海 200093;2. 上海市动力工程多相流动与传热重点实验室 上海 200093
基金项目:国家自然科学基金(51976131,51676131)和上海“科技创新行动计划”地方院校能力建设(19060502200)资助项目。
摘    要:具有良好动态性能是垂直轴风力机叶片高效捕获风能的关键,合理的流动控制方法可有效改善叶片气动性能,提高风能利用率。基于二维H型垂直轴模型研究不同椭圆形渐缩式翼缝及其开口宽度对垂直轴风力机动态失速的影响。结果表明,翼缝的主要作用机理是通过控制流动分离以延缓动态失速,较之原始翼型,椭圆形翼缝翼型在尖速比为0.5时转矩系数提高53.8%,显著增强了垂直轴风力机的起动转矩,但在尖速比大于1.5时因流动分离并不明显,从而作用效果并不明显;与传统渐缩式直翼缝相比,椭圆形翼缝因出口处流体与翼型表面相切而未显著影响外流场,从而使其在尖速比较大时功率系数相对更高。此外,椭圆形翼缝因减弱吸力面逆压梯度使叶片失速相位角推迟,从而有效抑制了流动分离,提高了风力机运行稳定性。

关 键 词:垂直轴风力机  喷管式翼缝  气动性能  流动控制  动态失速  
收稿时间:2020-12-15

Study on the Influence of Nozzle Airfoil Slots on the Aerodynamic Performance of Vertical Axis Wind Turbine
ZHANG Qiang,MOU Weipao,LI Chun,ZHANG Wanfu.Study on the Influence of Nozzle Airfoil Slots on the Aerodynamic Performance of Vertical Axis Wind Turbine[J].Chinese Journal of Mechanical Engineering,2021,57(22):335-343.
Authors:ZHANG Qiang  MOU Weipao  LI Chun  ZHANG Wanfu
Affiliation:1. School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093;2. Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, Shanghai 200093
Abstract:With the continuous development of sensing and intelligent technology, the operational monitoring of tunnel boring machines is becoming increasingly perfect. The massive measured in-situ data not only record the important information of the operation process of tunnel boring machine but also involve the internal mechanism of tunnel boring machine and the external mechanism with the working environment. It is of great significance in improving the design, analysis, operation, and maintenance level of tunnel boring machine through mining these in-situ data. In order to summarize and analyze the research and application status of in-situ data of tunnel boring machine, the source, composition, and characteristics of in-situ data of tunnel boring machine are discussed first. Then, the domestic and foreign literature are reviewed from three aspects:data-driven state recognition and performance prediction of tunnel boring machine, data-driven geology recognition and ground surface change prediction and tunnel health monitoring and early warning. The difficulties, advantages, and deficiencies of current researches are discussed as well. Finally, the preliminary analysis and prospects on the future research directions are made from the aspects of in-situ data preprocessing methods, heterogeneous in-situ data modeling methods, generalization ability improvement methods of in-situ model, computing platform, and so on. It is expected to provide inspiration and references for the follow-up big data studies of tunnel boring machine.
Keywords:vertical axis wind turbine  nozzle airfoil slot  aerodynamic performance  flow control  dynamic stall  
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