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Quantifying the Weathering Induced Degradation of Poly(Ethylene-Terephthalate) via Spectroscopic Chemometrics and Statistical Modeling
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Quantifying the Weathering Induced Degradation of Poly(Ethylene-Terephthalate) via Spectroscopic Chemometrics and Statistical Modeling
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Dissertation
Quantifying the Weathering Induced Degradation of Poly(Ethylene-Terephthalate) via Spectroscopic Chemometrics and Statistical Modeling
2019
Overview
PET is widely used in engineering applications ranging from commonplace household systems to complex, technical devices. PET degrades under exposure to ultraviolet (UV) irradiance, heat, and moisture, which leads to loss of optical clarity and performance properties. Quantitative understanding of the degradation of PET is a critical step on the path to the development of longer lasting PET-based products with improved performance. The physical properties of nine grades of PET films, three clear and six TiO2-filled were modeled after outdoor and accelerated weathering exposures to characterize the degradation process of PET and assess the influence of stabilizing additives and weathering factors. Multivariate multiple regression (MMR) models were developed to quantify changes in color, gloss, and haze of the materials. Natural splines were used to capture the non-linear relationship between predictors and responses. Cross-correlation between accelerated and outdoor weathering exposure was achieved using the resulting MMR models. Parallel factor analysis was applied alongside fluorescence spectroscopy to identify and distinguish between the formation of monohydroxy-terephthalate and dihydroxy-terephthalate units in PET under accelerated exposure conditions. Principal component analysis was utilized alongside ATR-FTIR to identify changes in the PET aromatic ring substitution pattern, which supported findings from EEM-PARAFAC. Overall, the work serves as an example of application of data science methods, chemometrics, and statistical analysis to the study of polymer degradation to strengthen the quantitative nature of conclusions in the field.
Publisher
ProQuest Dissertations & Theses
Subject
ISBN
9798662456419
