Fabrication and characterization of shape memory polyurethane with GNP and MWCNTs
Researchers prepared 4D-printed shape memory polyurethane nanocomposites containing 0.25 to 1.0 wt% multi-walled carbon nanotubes by solvent casting, characterising the effect on mechanical and shape-recovery behaviour.
Researchers have developed shape memory polyurethane (SMPU) nanocomposites incorporating graphene nanoplatelets (GNP) and multi-walled carbon nanotubes (MWCNTs) using the solvent-casting method. These nanocomposites, designed for 4D printing applications, contain 0.25-1.0 wt% MWCNTs, which enhance their mechanical and thermal properties.
The study focuses on the fabrication and characterization of these SMPU/GNP/MWCNT nanocomposites. The inclusion of MWCNTs significantly improves the shape memory performance of the composites, making them suitable for advanced applications in various industries. The research highlights the potential of MWCNTs in enhancing the functionality of polymer-based materials.
The solvent-casting method employed in this study allows for uniform dispersion of MWCNTs within the polymer matrix, which is crucial for achieving the desired material properties. This method ensures that the nanocomposites exhibit improved durability and responsiveness to external stimuli, which are essential for shape memory applications.
Overall, the integration of carbon-based materials like MWCNTs and GNPs into SMPU matrices represents a promising advancement in the development of smart materials. The findings suggest that these nanocomposites could play a significant role in the future of material science, particularly in fields requiring responsive and adaptable materials.
Source: Carbon Nanotubes Feed