| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Brancart, Joost
Vrije Universiteit Brussel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (15/15 displayed)
- 2024Designing flexible and self-healing electronics using hybrid carbon black/nanoclay composites based on Diels-Alder dynamic covalent networkscitations
- 2024Diels-Alder Network Blends as Self-Healing Encapsulants for Liquid Metal-Based Stretchable Electronicscitations
- 2023Solid‐state crosslinkable, shape‐memory polyesters serving tissue engineeringcitations
- 2023Fast Self-Healing at Room Temperature in Diels–Alder Elastomerscitations
- 2023Assisted damage closure and healing in soft robots by shape memory alloy wirescitations
- 2023Vitrimeric shape memory polymer-based fingertips for adaptive graspingcitations
- 2023Effect of Secondary Particles on Self-Healing and Electromechanical Properties of Polymer Composites Based on Carbon Black and a Diels–Alder Networkcitations
- 2021Supramolecular self-healing sensor fiber composites for damage detection in piezoresistive electronic skin for soft robotscitations
- 2021The Influence of the Furan and Maleimide Stoichiometry on the Thermoreversible Diels–Alder Network Polymerizationcitations
- 2020Self-Healing Material Design and Optimization for Soft Robotic Applications
- 2019Diffusion- and Mobility-Controlled Self-Healing Polymer Networks with Dynamic Covalent Bondingcitations
- 2019Mechanical, physical and chemical characterisation of mycelium-based composites with different types of lignocellulosic substratescitations
- 2018The Effect of Vitrification on the Diels-Alder Reaction Kinetics
- 2017Towards the first developments of self-healing soft robotics
- 2011Self-healing property characterization of reversible thermoset coatings
Places of action
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article
Vitrimeric shape memory polymer-based fingertips for adaptive grasping
Abstract
The variability in the shapes and sizes of objects presents a significant challenge for two-finger robotic grippers when it comes to manipulating them. Based on the chemistry of vitrimers (a new class of polymer materials that have dynamic covalent bonds, which allow them to reversibly change their mechanical properties under specific conditions), we present two designs as 3D-printed shape memory polymer-based shape-adaptive fingertips (SMP-SAF). The fingertips have two main properties needed for an effective grasping. First, the ability to adapt their shape to different objects. Second, exhibiting variable rigidity, to lock and retain this new shape without the need for any continuous external triggering system. Our two design strategies are: 1) A curved part, which is suitable for grasping delicate and fragile objects. In this mode and prior to gripping, the SMP-SAFs are straightened by the force of the parallel gripper and are adapted to the object by shape memory activation. 2) A straight part that takes on the form of the objects by contact force with them. This mode is better suited for gripping hard bodies and provides a more straightforward shape programming process. The SMP-SAFs can be programmed by heating them up above glass transition temperature (54°C) via Joule-effect of the integrated electrically conductive wire or by using a heat gun, followed by reshaping by the external forces (without human intervention), and subsequently fixing the new shape upon cooling. As the shape programming process is time-consuming, this technique suits adaptive sorting lines where the variety of objects is not changed from grasp to grasp, but from batch to batch.