Barely visible impact damage detection in a composite turbine blade using 3D Scanning Laser Vibrometery

Marks, Ryan ORCID: https://orcid.org/0000-0003-0623-7044, Gillam, Clare, Clarke, Alastair ORCID: https://orcid.org/0000-0002-3603-6000 and Pullin, Rhys ORCID: https://orcid.org/0000-0002-2853-6099 2015. Barely visible impact damage detection in a composite turbine blade using 3D Scanning Laser Vibrometery. Presented at: British Society for Strain Measurement Conference 2015, Heriot-Watt University, Edinburgh, UK, 1-3 September 2015.

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Abstract

Fossil fuel reserves are ever decreasing whilst the global demand for electrical power is increasing. These trends combined with the need to develop greener and more sustainable power sources has seen an increase in wind power in recent years with now nearly 6000 offshore and on-shore wind turbines in the UK alone. In order to ensure the functionality of the turbine, it is beneficial to monitor the structural health of key components such as the blades in order to detect and monitor any damage. This would enable maintenance operations to be carried out when required reducing the downtime of the turbine, maintenance costs and increasing overall energy production. This is particularly advantageous for offshore turbines where access is difficult. Acousto-ultrasonic induced Lamb waves have been used for detecting damage in composite structures for many years. The principle works by exciting a piezoelectric transducer mounted to the structure’s surface which induces a Lamb wave that is then detected by another transducer mounted at a different location on the structure. If damage occurs within the field between the two sensors, the signal propagation is altered thus resulting in a quantifiable difference in the signal received. This technique has proven to be effective in the detection of impact damage. Laser vibrometery is a useful tool for understanding Lamb wave propagation and their interaction with damage. By understanding and characterizing this interaction with impact damage it is possible to improve damage detection techniques and optimize sensor locations.

Item Type:	Conference or Workshop Item (Lecture)
Date Type:	Completion
Status:	Unpublished
Schools:	Engineering
Subjects:	T Technology > TJ Mechanical engineering and machinery
Date of First Compliant Deposit:	30 March 2016
Last Modified:	15 Feb 2023 15:22
URI:	https://orca.cardiff.ac.uk/id/eprint/76824

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