Journal article
Prognostic Tools for Lifetime Prediction of Aircraft Coatings: Paint Degradation
Advanced Materials Research, Vol.138, pp.137-149
Workshop on Corrosion Modeling for Life Prediction (CMLP 2010), 2nd (Rome, Italy, 18-Apr-2010 - 20-Apr-2010)
2010
Abstract
A direct interrogation, portable analysis technique (portable FT-IR) and a novel environment-monitoring profluorescent sensor for studying aircraft coating degradation have been developed. For the direct interrogation approach, a standard military aircraft paint: 459-line Anzothane flexible polyurethane (lead free) has been used to Illustrate a new potential field technique to evaluate coating service lifetime, portable FT-IR. This technique allows direct analysis of chemical changes within the degrading coatings and has the potential to evaluate service lifetime when coupled with advanced statistical analysis methods (chemometrics). The degradation environment monitoring sensors are embodied in a profluorescent environment-sensitive witness patch that may be analysed in-service by a field-deployable fluorescence spectrometer. Accelerated ageing for both the paint and the witness patches has been undertaken and their capabilities as aircraft paint degradation monitors assessed.
Details
- Title
- Prognostic Tools for Lifetime Prediction of Aircraft Coatings: Paint Degradation
- Authors
- John M. Colwell (Author) - University of QueenslandJavaid H. Khan (Author) - Queensland University of TechnologyGeoffrey Will (Author) - Queensland University of TechnologyKathryn E. Fairfull-Smith (Author) - Queensland University of TechnologySteven E. Bottle (Author) - Queensland University of TechnologyGraeme A. George (Author) - University of QueenslandAntony Trueman (Author) - Defence Science and Technology Group
- Contributors
- Stefano Trasatti (Editor) - University of MilanJuliet Ippolito (Editor) - University of Naples Federico II
- Publication details
- Advanced Materials Research, Vol.138, pp.137-149
- Conference details
- Workshop on Corrosion Modeling for Life Prediction (CMLP 2010), 2nd (Rome, Italy, 18-Apr-2010 - 20-Apr-2010)
- Publisher
- Scientific.Net
- DOI
- 10.4028/www.scientific.net/AMR.138.137
- ISSN
- 1662-8985
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99737994402621
- Output Type
- Journal article
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- Industry collaboration
- Domestic collaboration
- Web Of Science research areas
- Materials Science, Characterization & Testing
- Materials Science, Composites
- Metallurgy & Metallurgical Engineering
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Source: InCites