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  4. Mechanical degradation estimation of thermosets by peak shift assessment: General approach using infrared spectroscopy
 
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Mechanical degradation estimation of thermosets by peak shift assessment: General approach using infrared spectroscopy

Publikationstyp
Journal Article
Date Issued
2021-04-14
Sprache
English
Author(s)
Doblies, Audrius  
Feiler, Christian  
Würger, Tim  orcid-logo
Schill, Eduard  
Meißner, Robert  orcid-logo
Fiedler, Bodo  orcid-logo
Institut
Kunststoffe und Verbundwerkstoffe M-11  
Molekulardynamische Simulation weicher Materie M-EXK2  
TORE-URI
http://hdl.handle.net/11420/9249
Journal
Polymer  
Volume
221
Article Number
123585
Citation
Polymer 221: 123585 (2021-04-14)
Publisher DOI
10.1016/j.polymer.2021.123585
Scopus ID
2-s2.0-85102738764
Until now, detecting weak spots in composite structures remains a key challenge in the aviation industry. The correct assessment of the load-bearing capability after structural overloading or the occurrence of barely-visible damages is particularly important to maintain structural integrity. Nonetheless, a reliable and overarching non-destructive inspection method to estimate the residual mechanical properties while covering all major damage scenarios has not been found yet. Several non-destructive techniques have been proposed to approach these challenges and are already in place for specific damage cases. However, each technique has its sources of information and therefore, limitations in practice due to a lack of generalisation. In this work, we present a concept and approach to gain access to the residual mechanical properties of a thermosetting polymer solely based on its inherent material state independent from its life-cycle history. Therefore, the material state is obtained by combining Fourier-transformed infrared spectroscopy with feature extraction algorithms based on Gaussian peak fitting. As proof of concept, tensile, creep, and cyclic tests are conducted to demonstrate this approach's advantage. A complementary theoretical investigation using quantum chemical calculations is employed to support the experimental work by identifying the investigated polymer's characteristic vibrational modes and predicting their evolution during the experiments. The results show that the quantification of molecular changes can estimate the material state and that the method is suitable to improve the understanding of the degradation processes and severity. This publication shall particularly serve as the basis for further research to study the interaction between molecular forces and material properties.
Subjects
FTIR
Non-destructive testing
Plasticity
Structural health monitoring
Funding(s)
I³-Junior-Project - Merging Computer- and Material Science using Artificial Intelligence  
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