在轮机叶片 (SOTB) 上的流量传感器现场测量的初步研究
Lung-Jieh Yang1, Chandrashekhar Tasupalli1, Wei-Cheng Wang1
1Department of Mechanical and Electromechanical Engineering, Tamkang University, New Taipei City 251301, Taiwan.
Micromachines
|July 27, 2024
概括
本研究介绍了用于风能研究的轮机叶片上的微电机系统 (MEMS) 流量传感器. 这些传感器揭示了高攻击角度和二次流量对轮机性能的影响.
科学领域:
- 可再生能源工程可再生能源工程
- 空气动力学 航空动力学
- 微电机系统 (MEMS) 是指微电机系统.
背景情况:
- 研究风力轮机的不稳定流量对于性能优化至关重要.
- 测量旋转刀片流量的传统方法是有限的.
- 微电机系统 (MEMS) 为新型流量传感解决方案提供了潜力.
研究的目的:
- 开发和验证使用轮机叶片上的MEMS流量传感器 (SOTB) 来分析旋转风力轮机中不稳定的流量现象的框架.
- 将现场测量与计算流体动力学 (CFD) 模拟进行比较.
- 评估二次流量对传感器和轮性能的影响.
主要方法:
- 使用U18 CMOS技术制造的自热MEMS流量传感器的实施.
- 在1.2米直径的水平轴风力轮机 (HAWT) 叶片上安装1.5mm × 1.5mm的烯涂层传感器芯片. 在根,中间和尖端位置.
- 使用无线数据采集系统 (WDAQ) 采集数据.
- 将SOTB输出与CFD模拟进行比较.
主要成果:
- 通过SOTB测量的即时攻击角度 (AOA) 范围在46°至62°之间,明显超过15°的典型停机AOA.
- 无线数据采集系统成功捕获了流量数据.
- 计算流体动力学 (CFD) 模拟与SOTB测量相关.
- 现场测量表明,3D二次流量增加,特别是在叶片中间距离附近,对传感器和轮性能产生了负面影响.
结论:
- 轮机叶片上的MEMS流量传感器为不稳定的空气动力学条件提供了宝贵的见解.
- 二次流现象显著影响风力轮机效率和传感器读数.
- 开发的SOTB框架对于现场风力轮机流量分析是有效的.
相关概念视频
Pipe Flowrate Measurement
628
In pipe flow measurement, orifice, nozzle, and Venturi meters are commonly used to determine fluid flowrates by constricting the flow area, which increases fluid velocity and reduces pressure. This pressure difference, governed by Bernoulli's principle and adjusted for real-world conditions, is essential for calculating flowrate. Each meter type is suited to specific applications based on accuracy, efficiency, and compatibility with various flow conditions.
The orifice meter is a simple,...
The orifice meter is a simple,...
628
Pipe Flowrate Measurement: Problem Solving
526
A spray tank system is engineered to uniformly distribute a pest-control liquid across plants by using a pressurized mechanism. The tank, pressurized to 150 kPa, holds the pesticide at a height of 0.80 meters. Liquid flows from the tank through a 1.9 meter pipe with a diameter of 0.015 meters, angled at 0.698 radians, ultimately reaching a 0.007 meter nozzle that sprays the pesticide. Accurate calculation of the system's flow rate is crucial to ensure uniform application, and this is...
526
Rapidly Varying Flow
57
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
57


