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Adaptive System Based on Macro-Fiber Composite Transducers for Vibration Control and Noise Reduction in Wind Turbine Blades

Adaptive System Based on Macro-Fiber Composite Transducers for Vibration Control and Noise Reduction in Wind Turbine Blades
基于粗纤维复合传感器的风力涡轮机叶片振动控制和降噪自适应系统
批准号:
1028365
负责人:
Francesco Lanza di Scalea
金额:
$34.91万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-15 至 2014-08-31

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中文摘要
翻译
研究目的和方法本研究的目的是改善性能的风力涡轮机叶片的可再生能源发电,通过减轻叶片的振动,从而降低空气中的噪音,并增加叶片?该方法是与叶片集成压电复合材料贴片的分布式网络,以通过主动压电致动来减轻低频振动(100 Hz),并通过被动分流阻尼来减轻高频振动(100 Hz)。 智能优点风力涡轮机的振动会导致空气噪声影响周围区域,并因结构疲劳而增加涡轮机的生命周期成本。 该项目将补充现有的“全球”控制的风力涡轮机叶片减少振动,在一个更“本地”规模使用分布式网络的压电复合材料补丁。 与单片压电盘相比,压电复合材料补片提供增加的耐久性、对弯曲表面的顺应性以及与复合材料叶片材料的更好的兼容性。 该网络还将提供多尺度振动抑制能力,这在风力涡轮机中是前所未有的。更广泛的影响风能目前占美国可再生能源装机容量的42%。能源部面临的重大挑战之一是到2030年使美国20%的能源由风能产生。拟议的压电复合材料网络将降低周围区域的空气传播噪声水平,并将增加叶片的工作状态和结构寿命。该项目还将包括修改加州大学圣地亚哥分校现有的课程,国际研究合作,以及向低收入6-12年级学生的推广工作。
英文摘要
Research Objectives and ApproachesThe objective of this research is to improve the performance of wind turbine blades for renewable energy generation by mitigating the blade vibrations, hence reducing the airborne noise and increasing the blade?s fatigue life.The approach is to integrate with the blade a distributed network of piezo-composite patches to mitigate low-frequency vibrations ( 100Hz) through active piezoelectric actuation and high-frequency vibrations (100 Hz) through passive shunt damping. Intellectual MeritVibrations in wind turbines result in both airborne noise affecting surrounding areas, and increased lifecycle cost of the turbine from structural fatigue. The project will complement existing "global" control of wind turbine blades by reducing vibrations at a more "local" scale using a distributed network of piezo-composite patches. Piezo-composite patches, compared to monolithic piezoelectric disks, offer increased durability, conformability to curved surfaces, and better compatibility with the composite blade material. The network will also provide a multi-scale vibration suppression capability that is unprecedented in wind turbines. Broader ImpactsWind currently accounts for 42% of the installed renewable power in the U.S. One of the Grand Challenges of the Department of Energy is to have 20% of the U.S. energy generated by wind by 2030. The proposed piezo-composite network will reduce airborne noise levels to surrounding areas and will increase the operating regime and the structural life of the blades. The project will also include the modification of an existing course at UCSD, international research cooperation, and outreach efforts to low-income 6-12 grade students.
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