KIT | KIT-Bibliothek | Impressum | Datenschutz

Micro-reinforced polymer composite materials studied by correlative X-ray imaging

Mikhaylov, Andrey ORCID iD icon 1; Beltran Diaz, Jorge Luis ; Zakharova, Margarita ORCID iD icon 1; Vinieska, Vitor; Münch, Daniel; Fohtung, Edwin; Pezzin, Sergio Henrique; Kunka, Danays ORCID iD icon 1
1 Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT)

Abstract:

Three-dimensional insights into the microstructure of composite materials are vital for enhancing their performance under operational conditions. Phase-sensitive methods can offer supplementary data, especially for materials with low absorption, compared to standard absorption-based techniques. This work presents the correlative X-ray imaging and computed tomography results of polymer composites reinforced with glass fibers using an inverted Hartmann mask. This method identified areas with enhanced refraction and scattering due to glass fibers and discriminated signals based on their orientation, offering an advantage in evaluating anisotropic materials. The simplicity of the setup, adding the inverted Hartmann mask, makes integration feasible in commercial CT scanners and existing radiography laboratories, enabling simultaneous phase, scattering, and absorption information extraction. Our approach, which combines refraction and scattering with absorption signals, exposes intricate structures beyond the usual spatial resolution threshold. Despite the distinct absorption coefficients of air, polymer-based, and glass fibers, the inverted Hartmann mask is crucial for examining similar absorption composites and low-absorbing materials. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000170374
Veröffentlicht am 30.04.2024
Originalveröffentlichung
DOI: 10.1016/j.nwnano.2024.100035
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mikrostrukturtechnik (IMT)
Karlsruhe School of Optics & Photonics (KSOP)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 06.2024
Sprache Englisch
Identifikator ISSN: 2666-9781
KITopen-ID: 1000170374
Erschienen in Nano Trends
Verlag Elsevier B.V.
Band 6
Seiten Art.-Nr. 100035
Vorab online veröffentlicht am 08.04.2024
Nachgewiesen in Dimensions
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page