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In-flight rotorcraft blade elastic twist sensor

机译:机上旋翼机叶片弹性扭曲传感器

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摘要

A novel sensor network for measuring rotorcraft blade elastic twist in flight using an expansion of strain gage theory is proposed and demonstrated. The embedded sensor has negligible weight, small power draw, high bandwidth (~100 kHz), works in the high centrifugal force environment of the rotating blade and does not disturb the blade airflow or structure. The sensor network can also be used to measure lead-lag and flap bending. The blade is idealized as an Euler-Bernoulli beam in bending and a rod in torsion. The theory is rigorously derived from first principles and shows that a sawtooth shaped sensor will measure twist directly without any numerical integration. The network is modeled computationally for a blade undergoing arbitrary torsional and bending moments. The model shows the twist sensor is not affected by arbitrary loading or noise or local structural discontinuities. The twist sensor is then embedded in a Mach scale rotor blade. The elastic twist measurement from the sensor exactly matched the actual twist angle on the benchtop for small (±0:08°), moderate (±0:3°) and large (±2:5°) elastic twist angles over a 4.6 in span (16% of total span). For the large twist deflections, the blade also had flap bending deflections of ±0:34 in (±7% of span).
机译:提出并论证了一种新颖的传感器网络,该传感器网络利用应变计理论的扩展来测量旋翼飞行器叶片在飞行中的弹性扭曲。嵌入式传感器的重量可忽略不计,功耗小,带宽高(〜100 kHz),可在旋转叶片的高离心力环境下工作,并且不会干扰叶片气流或结构。传感器网络还可用于测量超前滞后和襟翼弯曲。叶片理想地是弯曲时的欧拉-伯努利梁和扭转杆。该理论严格地源自第一原理,并显示出锯齿形传感器将直接测量扭曲而无需任何数值积分。该网络是针对遭受任意扭转和弯曲力矩的叶片进行计算建模的。该模型显示,扭曲传感器不受任意载荷,噪声或局部结构不连续性的影响。然后将扭曲传感器嵌入马赫规模的转子叶片中。传感器的弹性扭曲角度在4.6英寸的范围内,与小巧的(±0:08°),中度(±0:3°)和大(±2:5°)弹性扭曲角完全匹配台式机上的实际扭曲角。跨度(占总跨度的16%)。对于较大的扭曲变形,叶片的襟翼弯曲变形也为±0:34英寸(跨度的±7%)。

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