Turbine engine disk rotor health monitoring assessment using spin tests data

Ali Abdul-Aziz; Mark Woike; George Baaklini; James R. Bodis

doi:10.1117/12.912524

30 March 2012 Turbine engine disk rotor health monitoring assessment using spin tests data

Ali Abdul-Aziz, Mark Woike, George Baaklini, James R. Bodis

Proceedings Volume 8346, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2012; 834616 (2012) https://doi.org/10.1117/12.912524
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2012, San Diego, California, United States

Abstract

Detecting rotating engine component malfunctions and structural anomalies is increasingly becoming a crucial key feature that will help boost safety and lower maintenance cost. However, achievement of such technology, which can be referred to as a health monitoring remains somewhat challenging to implement. This is mostly due to presence of scattered loading conditions, crack sizes, component geometry and material properties that hinders the simplicity of imposing such application. Different approaches are being considered to assist in developing other means of health monitoring or nondestructive techniques to detect hidden flaws and mini cracks before any catastrophic events occur. These methods extend further to assess material discontinuities and other defects that have matured to the level where a failure is very likely. This paper is focused on presenting data obtained from spin test experiments of a turbine engine like rotor disk and their correlation to the development of a structural health monitoring and fault detection system. The data collected includes blade tip clearance, blade tip timing measurements and shaft displacements. The experimental results are collected at rotational speeds up to 10,000 Rpm and tests are conducted at the NASA Glenn Research Center's Rotordynamics Laboratory via a high precision spin system. Additionally, this study offers a closer glance at a selective online evaluation of a rotating disk using advanced capacitive, microwave and eddy current sensor technology.

Citation Download Citation

Ali Abdul-Aziz, Mark Woike, George Baaklini, and James R. Bodis "Turbine engine disk rotor health monitoring assessment using spin tests data", Proc. SPIE 8346, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2012, 834616 (30 March 2012); https://doi.org/10.1117/12.912524

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