| 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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Terryn, Seppe
Vrije Universiteit Brussel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2024Designing flexible and self-healing electronics using hybrid carbon black/nanoclay composites based on Diels-Alder dynamic covalent networkscitations
- 2024SMA Wire Use in Hybrid Twisting and Bending/Extending Soft Fiber-Reinforced Actuatorscitations
- 2024Diels-Alder Network Blends as Self-Healing Encapsulants for Liquid Metal-Based Stretchable Electronicscitations
- 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
- 2022Learning-Based Damage Recovery for Healable Soft Electronic Skinscitations
- 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
- 2019Investigation of self-healing actuators for robotics
- 2017Towards the first developments of self-healing soft robotics
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.