Abstract
This paper presents an investigation into the inspection of an Automated Tape Placement (ATP) process, which automates the process of laying composite plies on a tool surface. The requirement for monitoring this process is motivated by the need to detect common defects in the process which could compromise the integrity of the structure. An experimental procedure was carried out where the tool surface, where composite is laid during the ATP, was excited with ultrasonic guided waves. Several types of defects were introduced during this process, and a methodology is presented to extract features from the signals acquired, model the process using this data and identify the defects. The main challenge in modelling this process is the cumulative trend throughout the application of the composite plies. A method is presented where wavelet analysis is used to model short-term dynamics while the long term, cumulative trends are eliminated using cointegration. The results show that one can detect various types of defects during an ATP process using the methodology introduced here. The key result is that the trends in the data due to the normal process can be removed using cointegration in order to reveal abnormalities.
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Acknowledgements
The authors are very grateful to Richard Smith from AMRC with Boeing, who assisted in the ATP process and data collection, and without whom this study would have not been possible.
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Fuentes, R., Cross, E.J., Ray, N., Dervilis, N., Guo, T., Worden, K. (2017). In-Process Monitoring of Automated Carbon Fibre Tape Layup Using Ultrasonic Guided Waves. In: Dervilis, N. (eds) Special Topics in Structural Dynamics, Volume 6. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-53841-9_16
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DOI: https://doi.org/10.1007/978-3-319-53841-9_16
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