Polyetherimide (PEI) nanocomposite with WS 2 nanotubes.
Dotan BabaiIddo PinkasDoron NavehReshef TennePublished in: Nanoscale (2024)
Nanocomposite materials, integrating nanoscale additives into a polymer matrix, hold immense promise for their exceptional property amalgamation. This study delves into the fabrication and characterization of polyetherimide (PEI) nanocomposite strings fortified with multiwall WS 2 nanotubes. The manufacturing process capitalizes on the preferential alignment of WS 2 nanotubes along the string axis, corroborated by scanning electron microscopy (SEM). Mechanical measurements unveil a remarkable acceleration of strain hardening in the nanocomposite strings, chiefly attributed to the WS 2 nanotubes. Structural analyses via X-ray diffraction (XRD) and wide-angle X-ray scattering (WAXS) reveal intriguing structural alterations during tensile deformation. Notably a semi-crystalline framework ∼100 nm in diameter surrounding the WS 2 nanotubes emerges, which is stabilized by the π-π interactions between the PEI chains. The amorphous majority phase (97% by volume) undergoes also major structural changes upon strain becoming more compact and closing-up of the distance beweeetn the PEI chains. Dynamic mechanical analysis (DMA) demonstrates improved thermal stability of the evolved semi-crystalline π-π oriented PEI molecules, characterized by delayed thermal "structural melting", underscoring the pivotal role of the WS 2 nanotubes in reinforcing the nanocomposite. The insight gained in this study of WS 2 nanotube-reinforced PEI nanocomposite strings, could offer diverse applications for such tailor-made polymeric materials.
Keyphrases
- electron microscopy
- carbon nanotubes
- reduced graphene oxide
- high resolution
- quantum dots
- solid phase extraction
- visible light
- gold nanoparticles
- room temperature
- drug delivery
- gene expression
- magnetic resonance imaging
- photodynamic therapy
- computed tomography
- genome wide
- magnetic resonance
- mass spectrometry
- big data
- single cell
- artificial intelligence
- ionic liquid
- machine learning
- crystal structure
- data analysis