| 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 |
|
Aberoumand, Mohammad
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 displayed)
- 20244D printing and annealing of PETG composites reinforced with short carbon fiberscitations
- 2024Influence of Programming and Recovery Parameters on Compressive Behaviors of 4D‐Printed Biocompatible Polyvinyl Chloride or Vinyl–Poly(ε‐Caprolactone) Blendscitations
- 2024Effects of TPU on the mechanical properties, fracture toughness, morphology, and thermal analysis of 3D-printed ABS-TPU blends by FDMcitations
- 20244D printing of porous PLA-TPU structures: effect of applied deformation, loading mode and infill pattern on the shape memory performancecitations
- 20234D Printing‐Encapsulated Polycaprolactone–Thermoplastic Polyurethane with High Shape Memory Performancescitations
- 2023Development of Pure Poly Vinyl Chloride (PVC) with Excellent 3D Printability and Macro‐ and Micro‐Structural Propertiescitations
- 2023Shape memory performance assessment of FDM 3D printed PLA-TPU composites by Box-Behnken response surface methodologycitations
- 20234D Printing of Polyvinyl Chloride (PVC): A Detailed Analysis of Microstructure, Programming, and Shape Memory Performancecitations
- 2022A New Strategy for Achieving Shape Memory Effects in 4D Printed Two-Layer Composite Structurescitations
- 2021Mechanical Characterization of Fused Deposition Modeling (FDM) 3D Printed Partscitations
- 20214D Printing by Fused Deposition Modeling (FDM)citations
Places of action
| Organizations | Location | People |
|---|
article
4D Printing‐Encapsulated Polycaprolactone–Thermoplastic Polyurethane with High Shape Memory Performances
Abstract
<jats:sec><jats:label /><jats:p>There are a few shape memory polymers (SMPs) like polylactic acid (PLA) and polyurethane (PU) that are 4D printable, and other SMPs must be synthesized with a complicated chemical lab effort. Herein, considering dual‐material extrusion printing and microscopic mechanism behind shape memory effect (SME), bilayer‐encapsulated polycaprolactone (PCL)–thermoplastic polyurethane (TPU) shape memory composite structures are 4D printed for the first time. The SME performance is investigated by assessing fixity, shape recovery, stress recovery, and stress relaxation under bending and compression loading modes. PCL, TPU, and melting temperature of PCL play the role of switching phase, net point, and transition temperature, respectively. Due to the destruction and dripping of molten PCL in contact with water, PCL is encapsulated by TPU. Encapsulation successfully solves the challenge of bonding/interface between printed layers, and the results show that the SME performance of the encapsulated structures is higher than bilayer PCL–TPU one's. Experiments reveal that maximum stress recovery in 4D‐printed composites remains constant over time. This is a great achievement compared to the previous extrusion‐based SMP structures that have great weakness in stress relaxation due to weak and low crystalline fractions and the unraveling of molecular entanglements in semicrystalline and amorphous thermoplastic SMPs, respectively.</jats:p></jats:sec>