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Data Collection and Analysis Software Development for Rotor Dynamics Testing in Spin LaboratoryGas turbine engine components undergo high rotational loading another complex environmental conditions. Such operating environment leads these components to experience damages and cracks that can cause catastrophic failure during flights. There are traditional crack detections and health monitoring methodologies currently being used which rely on periodic routine maintenances, nondestructive inspections that often times involve engine and components dis-assemblies. These methods do not also offer adequate information about the faults, especially, if these faults at subsurface or not clearly evident. At NASA Glenn research center, the rotor dynamics laboratory is presently involved in developing newer techniques that are highly dependent on sensor technology to enable health monitoring and prediction of damage and cracks in rotor disks. These approaches are noninvasive and relatively economical. Spin tests are performed using a subscale test article mimicking turbine rotor disk undergoing rotational load. Non-contact instruments such as capacitive and microwave sensors are used to measure the blade tip gap displacement and blade vibrations characteristics in an attempt develop a physics based model to assess/predict the faults in the rotor disk. Data collection is a major component in this experimental-analytical procedure and as a result, an upgrade to an older version of the data acquisition software which is based on LabVIEW program has been implemented to support efficiently running tests and analyze the results. Outcomes obtained from the tests data and related experimental and analytical rotor dynamics modeling including key features of the updated software are presented and discussed.
Document ID
Document Type
Conference Paper
Abdul-Aziz, Ali
(Kent State Univ. OH, United States)
Arble, Daniel
(Maryland Univ. College Park, MD, United States)
Woike, Mark
(NASA Glenn Research Center Cleveland, OH, United States)
Date Acquired
August 17, 2018
Publication Date
March 25, 2017
Subject Category
Social And Information Sciences (General)
Report/Patent Number
Meeting Information
SPIE Smart Structures/Nondestructive Evaluation 2017(Portland, OR)
Funding Number(s)
WBS: WBS 109492.
Distribution Limits
Public Use Permitted.
Rotor Dynamics
Data Analysis
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