Biopolymer cryogels for transient ecology-drones
File(s)Advanced Intelligent Systems - 2023 - Wiesem ller.pdf (5.45 MB)
Published version
Author(s)
Type
Journal Article
Abstract
Aerial robots can autonomously collect temporal and spatial high-resolution environmental data. This data can be utilized to develop mathematical ecology models to understand the impact of climate change on our habitat. In case of drone malfunction the incorporated materials can threaten vulnerable environments. The recent introduction of transient robotics has enabled the development of biodegradable, environmental-sensing drones capable of degrading in their environment. However, manufacturing methods for environmental-sensing transient drones are rarely discussed. In this work, we highlight a manufacturing framework and material selection process featuring biopolymer-based, high-strength composite cryogels and printed carbon-based electronics for transient drones. We found that gelatin and cellulose based cryogels mechanically outperform other biopolymer composites while having a homogeneous micro-structure and high stiffness-to-weight ratio. The selected materials are used to manufacture a flying-wing air-frame, while the incorporated sensing skin is capable of measuring the elevons' deflection angles as well as ambient temperature. Our results demonstrate how gelatin-cellulose cryogels can be used to manufacture lightweight transient drones, while printing carbon conductive electronics is a viable method for designing sustainable, integrated sensors. The proposed methods can be used to guide the development of lightweight and rapidly degrading robots, featuring eco-friendly sensing capabilities.
Date Issued
2023-07-01
Date Acceptance
2023-04-11
Citation
Advanced Intelligent Systems, 2023, 5 (7)
ISSN
2640-4567
Publisher
Wiley
Journal / Book Title
Advanced Intelligent Systems
Volume
5
Issue
7
Copyright Statement
© 2023 The Authors. Advanced Intelligent Systems published by Wiley-VCH GmbH
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
License URL
Publication Status
Published
Article Number
ARTN 2300037
Date Publish Online
2023-04-27