Rapid Improvement of Fiber Tensile Properties via In Situ Biomimetic Robotic Pulling and Bayesian Optimization
For fiber technology, new approaches such as biomimetic materials, such as silks, are being intensively explored, providing new solutions for a variety of industries, including textiles, composites, and biomedical engineering. New approaches for spinning or these materials are needed. Despite recent...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-04-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202300610 |
| _version_ | 1797197599710642176 |
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| author | Houari Bettahar David Blanco-Mulero Ville Kyrki Markus B. Linder Quan Zhou |
| author_facet | Houari Bettahar David Blanco-Mulero Ville Kyrki Markus B. Linder Quan Zhou |
| author_sort | Houari Bettahar |
| collection | DOAJ |
| description | For fiber technology, new approaches such as biomimetic materials, such as silks, are being intensively explored, providing new solutions for a variety of industries, including textiles, composites, and biomedical engineering. New approaches for spinning or these materials are needed. Despite recent advances in enhancing fiber tensile properties, achieving significant improvement in tensile properties remains a tedious and challenging task, suffering from little to no controlled extrusion process and difficult optimization in high‐dimensional parameter spaces. Herein, a novel robotic biomimetic pulling method that can rapidly enhance fiber tensile properties surpassing current methods in both speed and resulting fiber properties is shown. Using a controlled fiber‐pulling device with in situ tensile measurements and adaptive optimization based on Bayesian Optimization, fiber strength exceeding 300% of the traditional full factorial design method within just a few experimental iterations is reached. The rapid experimental method presents a potential avenue for enhancing the performance of artificial fibers across diverse industries and applications. |
| first_indexed | 2024-04-24T06:46:32Z |
| format | Article |
| id | doaj.art-55eebdaf5a1f4209b2c60a151a0bebeb |
| institution | Directory Open Access Journal |
| issn | 2640-4567 |
| language | English |
| last_indexed | 2024-04-24T06:46:32Z |
| publishDate | 2024-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj.art-55eebdaf5a1f4209b2c60a151a0bebeb2024-04-22T18:07:16ZengWileyAdvanced Intelligent Systems2640-45672024-04-0164n/an/a10.1002/aisy.202300610Rapid Improvement of Fiber Tensile Properties via In Situ Biomimetic Robotic Pulling and Bayesian OptimizationHouari Bettahar0David Blanco-Mulero1Ville Kyrki2Markus B. Linder3Quan Zhou4Department of Electrical Engineering and Automation Aalto University Maarintie 8 02100 Espoo FinlandDepartment of Electrical Engineering and Automation Aalto University Maarintie 8 02100 Espoo FinlandDepartment of Electrical Engineering and Automation Aalto University Maarintie 8 02100 Espoo FinlandDepartment of Bioproducts and Biosystems School of Chemical Engineering Aalto University FI-00076 Aalto FinlandDepartment of Electrical Engineering and Automation Aalto University Maarintie 8 02100 Espoo FinlandFor fiber technology, new approaches such as biomimetic materials, such as silks, are being intensively explored, providing new solutions for a variety of industries, including textiles, composites, and biomedical engineering. New approaches for spinning or these materials are needed. Despite recent advances in enhancing fiber tensile properties, achieving significant improvement in tensile properties remains a tedious and challenging task, suffering from little to no controlled extrusion process and difficult optimization in high‐dimensional parameter spaces. Herein, a novel robotic biomimetic pulling method that can rapidly enhance fiber tensile properties surpassing current methods in both speed and resulting fiber properties is shown. Using a controlled fiber‐pulling device with in situ tensile measurements and adaptive optimization based on Bayesian Optimization, fiber strength exceeding 300% of the traditional full factorial design method within just a few experimental iterations is reached. The rapid experimental method presents a potential avenue for enhancing the performance of artificial fibers across diverse industries and applications.https://doi.org/10.1002/aisy.202300610Adaptive optimization designsBayesian optimizationsFiber threading |
| spellingShingle | Houari Bettahar David Blanco-Mulero Ville Kyrki Markus B. Linder Quan Zhou Rapid Improvement of Fiber Tensile Properties via In Situ Biomimetic Robotic Pulling and Bayesian Optimization Advanced Intelligent Systems Adaptive optimization designs Bayesian optimizations Fiber threading |
| title | Rapid Improvement of Fiber Tensile Properties via In Situ Biomimetic Robotic Pulling and Bayesian Optimization |
| title_full | Rapid Improvement of Fiber Tensile Properties via In Situ Biomimetic Robotic Pulling and Bayesian Optimization |
| title_fullStr | Rapid Improvement of Fiber Tensile Properties via In Situ Biomimetic Robotic Pulling and Bayesian Optimization |
| title_full_unstemmed | Rapid Improvement of Fiber Tensile Properties via In Situ Biomimetic Robotic Pulling and Bayesian Optimization |
| title_short | Rapid Improvement of Fiber Tensile Properties via In Situ Biomimetic Robotic Pulling and Bayesian Optimization |
| title_sort | rapid improvement of fiber tensile properties via in situ biomimetic robotic pulling and bayesian optimization |
| topic | Adaptive optimization designs Bayesian optimizations Fiber threading |
| url | https://doi.org/10.1002/aisy.202300610 |
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