Paper
20 October 2009 A new diagnostic method of bolt loosening detection for thermal protection systems
Weihua Xie, Songhe Meng, Jiecai Han, Shanyi Du, Boming Zhang, Dong Yu
Author Affiliations +
Proceedings Volume 7493, Second International Conference on Smart Materials and Nanotechnology in Engineering; 749334 (2009) https://doi.org/10.1117/12.843778
Event: Second International Conference on Smart Materials and Nanotechnology in Engineering, 2009, Weihai, China
Abstract
Research and development efforts are underway to provide structural health monitoring systems to ensure the integrity of thermal protection system (TPS). An improved analytical method was proposed to assess the fastener integrity of a bolted structure in this paper. A new unsymmetrical washer was designed and fabricated, taking full advantage of piezoelectric ceramics (PZT) to play both roles as actuators and sensors, and using energy as the only extracted feature to identify abnormality. This diagnostic method is not restricted by the materials of the bracket, panel and base structure of the TPS whose condition is under inspection. A series of experiments on a metallic honeycomb sandwich panel were completed to demonstrate the capability of detecting bolt loosening on the TPS structure. Studies showed that this method can be used not only to identify the location of loosened bolts rapidly, but also to estimate the torque level of loosening bolts. Since that energy is the only extracted feature used to detect bolt loosening in this method, the diagnostic process become very simple and swift without sacrificing the accuracy of the results.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weihua Xie, Songhe Meng, Jiecai Han, Shanyi Du, Boming Zhang, and Dong Yu "A new diagnostic method of bolt loosening detection for thermal protection systems", Proc. SPIE 7493, Second International Conference on Smart Materials and Nanotechnology in Engineering, 749334 (20 October 2009); https://doi.org/10.1117/12.843778
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KEYWORDS
Sensors

Diagnostics

Ferroelectric materials

Structural health monitoring

Actuators

Aluminum

Feature extraction

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