Robotic AI-based Fiber Threading
Loading...
Access rights
openAccess
acceptedVersion
URL
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Other link related to publication (opens in new window)
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.
Authors
Date
Major/Subject
Mcode
Degree programme
Language
en
Pages
Series
Abstract
This paper presents our research on robotic AI-fiber threading, offering a comprehensive overview of our findings. We introduce a novel robotic device and innovative approaches for fiber threading, enabling precise fiber pulling with real-time force measurement during both pulling and tensile testing. Our proposed approaches exhibit enhanced consistency, as well as superior strength and toughness when compared to traditional dry and wet spinning approaches. We explore fiber threading across a range of materials with varying viscosities, including high-viscosity materials like solvent-based polychloroprene rubber, and low viscosity materials such as dextran, recombinant spider silk, and regenerated silk fibroin. Additionally, we introduce a novel approach for rapidly improving artificial fiber tensile properties using our robotic fiber-pulling device and Bayesian Optimization (BO) algorithm.Description
Keywords
Other note
Citation
Bettahar, H & Zhou, Q 2024, 'Robotic AI-based Fiber Threading', Paper presented at International Conference on Manipulation, Automation and Robotics at Small Scales, Delft, Netherlands, 01/07/2024 - 05/07/2024.