Abdul-Aziz Ali, Woike Mark
NASA Glenn Research Center, Cleveland, OH 44135, USA.
ScientificWorldJournal. 2013 Jun 5;2013:413587. doi: 10.1155/2013/413587. Print 2013.
The paper focuses on presenting data obtained from spin test experiments of a turbine engine like rotor disk and assessing their correlation to the development of a structural health monitoring and fault detection system. The data were obtained under various operating conditions such as the rotor disk being artificially induced with and without a notch and rotated at a rotational speed of up to 10,000 rpm under balanced and imbalanced state. The data collected included blade tip clearance, blade tip timing measurements, and shaft displacements. Two different sensor technologies were employed in the testing: microwave and capacitive sensors, respectively. The experimental tests were conducted at the NASA Glenn Research Center's Rotordynamics Laboratory using a high precision spin system. Disk flaw observations and related assessments from the collected data for both sensors are reported and discussed.
本文重点介绍了从类似涡轮发动机转子盘的自旋测试实验中获得的数据，并评估这些数据与结构健康监测和故障检测系统开发的相关性。这些数据是在各种运行条件下获得的，例如转子盘在有缺口和无缺口的情况下人为诱导，并在平衡和不平衡状态下以高达10000转/分钟的转速旋转。收集的数据包括叶片尖端间隙、叶片尖端定时测量和轴位移。测试中分别采用了两种不同的传感器技术：微波传感器和电容式传感器。实验测试是在美国国家航空航天局格伦研究中心的转子动力学实验室使用高精度自旋系统进行的。报告并讨论了两种传感器收集数据的盘片缺陷观察结果及相关评估。
