About this Abstract |
Meeting |
2024 ASC Technical Conference, US-Japan Joint Symposium, D30 Meeting
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Symposium
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2024 ASC Technical Conference, US-Japan Joint Symposium, D30 Meeting
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Presentation Title |
Near Infrared Models for Non Destructive Evaluation of Low Velocity Impact Damage in Polymer Composites
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Author(s) |
Oluwatimilehin Oluwajire, Landon Grace, Anil Mohan, Juan Acosta |
On-Site Speaker (Planned) |
Oluwatimilehin Oluwajire |
Abstract Scope |
Polymer composites have become integral in various industries, offering enhanced performance and reduced weight compared to traditional materials. However, these materials are prone to undetected sub-surface damage, including low velocity impact (LVI) damage, which poses a significant risk to their long-term integrity. Near Infrared Spectroscopy (NIRS) is emerging as a promising technique for detecting such damage by probing the material's internal structure.
This study evaluates the predictive capability of NIRS-based models which were developed using damage parameters from two NIRS instruments, the cost-effective NIR Nano (900-1700 nm) and the commercial NIR Microphazir (1600-2400 nm). The aim is to understand how the NIRS method, when combined with the models, can effectively predict LVI damage in glass fiber reinforced polymer composites. A total of forty-eight fiberglass laminates underwent controlled impact testing at varying energies (1J, 2J, and 3J), simulating different levels of damage. Subsequently, they were exposed to moisture and spectral scans were collected both before and after exposure.
Multivariate data analysis methods were applied to assess the spatial variation of absorbance parameters across the samples. Model development was performed using a data analysis pipeline written in the R environment. This pipeline has two phases including (a) transformations and outlier detection and (b) model training, cross validation and prediction of new observations. The R-squared of validation values was used for model performance evaluation. The model from NIR Microphazir device is posited to be better and has higher predictive capability |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |