| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Ali, Muhammad
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2024Synergetic and anomalous effect of <scp>CNTs</scp> in the sulphide‐based binary composite for an extraordinary and asymmetric supercapacitor devicecitations
- 2024Nanoparticle's efficacy in the suppression of heavy metals that affect breast cancer progression.citations
- 2023Exploring the potential of hydrothermally synthesized AgZnS@Polyaniline composites as electrode material for high-performance supercapattery devicecitations
- 2023Mechanically robust and highly elastic thermally induced shape memory polyurethane based composites for smart and sustainable robotic applicationscitations
- 2023Prediction of Coal Dilatancy Point Using Acoustic Emission Characteristicscitations
- 2023Biologically potent organotin(<scp>iv</scp>) complexes of <i>N</i>-acetylated β-amino acids with spectroscopic, X-ray powder diffraction and molecular docking studiescitations
- 2023Baseline ImPACT Composite Scores in Student-Athletes With Attention-Deficit/Hyperactivity Disordercitations
- 2023Advanced High‐Energy All‐Solid‐State Hybrid Supercapacitor with Nickel‐Cobalt‐Layered Double Hydroxide Nanoflowers Supported on Jute Stick‐Derived Activated Carbon Nanosheetscitations
- 2022Hybrid composites based on textile hard waste: use as sunshadescitations
- 2020Optimization of tensile properties of bagasse fiber-reinforced composite using response surface methodology
- 2020Investigation of fiber orientation and void content in bagasse fiber composites using image analysis technique
- 2016Self-assembled Multilayers of Silica Nanospheres for Defect Reduction in Non- and Semipolar Gallium Nitride Epitaxial Layers.
- 2009Maskless roughening of sapphire substrates for enhanced light extraction of nitride based blue LEDscitations
- 2008Enhanced electroluminescence in 405 nm InGaN/GaN LEDs by optimized electron blocking layercitations
Places of action
| Organizations | Location | People |
|---|
article
Mechanically robust and highly elastic thermally induced shape memory polyurethane based composites for smart and sustainable robotic applications
Abstract
<jats:title>Abstract</jats:title><jats:p>In the present study, polyurethane (PU) was prepared using a pre‐polymer (two‐shot) process with a novel phloroglucinol chain extender. PU nanocomposite was prepared by incorporating acid‐FMWCNTs in pristine‐PU. Polystyrene (PS) was functionalized with the nitro group through our previously reported method. The ternary blend composites (PU/PS‐NO<jats:sub>2</jats:sub>/FMWNTs) were prepared using acid functionalized multiwall carbon nanotubes (FMWCNTs) for enhanced properties and selectivity. Nitro‐functionalized‐PS/PU composite properties were compared with pristine‐PU and its blend composite. The structure of the pre‐designed PU polymer and its composites were confirmed by the FTIR and the degree of crystallinity and amorphous state was determined with XRD analysis. Excellent thermal stabilities were confirmed through a TGA thermogram with an increase in the loading amount of FMWCNTs. Excellent tensile strength 59.2 ± 2.6 MPa with 0.1 g loading amount of FMWCNTs with enhanced flexibilities was achieved. The significant change in surface morphologies and porosity suggested enhanced interaction (physical and chain entanglement) of FMWCNTs and nitrated‐PS with PU chain as the loading amount of filler increased. The resulted porous spongy cluster (as seen in SEM images) provides efficient shape recovery strain with excellent flexibility to the composite material without compromising repeatability. Almost 100% shape recovery was observed for all samples with repeated recoveries. The recovery time of PU nanocomposite observed is shorter than neat polyurethane and PU/PS‐NO<jats:sub>2</jats:sub> blends because of their better conductive nature but causes brittleness, which can easily initiate a crack in the sample compared to a blended sample.</jats:p>