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Proceedings Paper

Turbine engine rotor health monitoring evaluation by means of finite element analyses and spin tests data
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Paper Abstract

Generally, rotating engine components undergo high centrifugal loading environment which subject them to various types of failure initiation mechanisms. Health monitoring of these components is a necessity and is often challenging to implement. This is primarily due to numerous factors including the presence of scattered loading conditions, flaw sizes, component geometry and materials properties, all which hinder the simplicity of applying health monitoring applications. This paper represents a summary work of combined experimental and analytical modeling that included data collection from a spin test experiment of a rotor disk addressing the aforementioned durability issues. It further covers presentation of results obtained from a finite element modeling study to characterize the structural durability of a cracked rotor as it relates to the experimental findings. The experimental data include blade tip clearance, blade tip timing and shaft displacement measurements. The tests were conducted at the NASA Glenn Research Center’s Rotordynamics Laboratory, a high precision spin rig. The results are evaluated and examined to determine their significance on the development of a health monitoring system to pre-predict cracks and other anomalies and to assist in initiating a supplemental physics based fault prediction analytical model.

Paper Details

Date Published: 17 April 2014
PDF: 9 pages
Proc. SPIE 9062, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2014, 90620M (17 April 2014); doi: 10.1117/12.2046373
Show Author Affiliations
Ali Abdul-Aziz, NASA Glenn Research Ctr. (United States)
Mark R. Woike, NASA Glenn Research Ctr. (United States)
Michelle Clem, NASA Glenn Research Ctr. (United States)
George Y. Baaklini, NASA Glenn Research Ctr. (United States)


Published in SPIE Proceedings Vol. 9062:
Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2014
Wolfgang Ecke; Kara J. Peters; Norbert G. Meyendorf; Theodoros E. Matikas, Editor(s)

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