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

Ali Abdul-Aziz; Mark R. Woike; Michelle Clem; George Y. Baaklini

doi:10.1117/12.2046373

17 April 2014 Turbine engine rotor health monitoring evaluation by means of finite element analyses and spin tests data

Ali Abdul-Aziz, Mark R. Woike, Michelle Clem, George Y. Baaklini

Proceedings Volume 9062, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2014; 90620M (2014) https://doi.org/10.1117/12.2046373
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2014, San Diego, California, United States

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.

Citation Download Citation

Ali Abdul-Aziz, Mark R. Woike, Michelle Clem, and George Y. Baaklini "Turbine engine rotor health monitoring evaluation by means of finite element analyses and spin tests data", Proc. SPIE 9062, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2014, 90620M (17 April 2014); https://doi.org/10.1117/12.2046373

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KEYWORDS

Sensors

Analytical research

Finite element methods

3D modeling

Data modeling

Microwave radiation

Safety

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