Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams (Adv. Sci. 18/2023)

Bio‐Inspired Structures This research resorts to artificial intelligence to inspire from a 2D dragonfly wing skeleton for developing an internal structure of airplane wings. It relates the thickness of the dragonfly members to the in‐plane static equilibrium of forces using Maxwell reciprocal diagra...

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Autores principales: Zheng, Hao, Mofatteh, Hossein, Hablicsek, Marton, Akbarzadeh, Abdolhamid, Akbarzadeh, Masoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Cover Picture
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288220/
http://dx.doi.org/10.1002/advs.202370111
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author Zheng, Hao
Mofatteh, Hossein
Hablicsek, Marton
Akbarzadeh, Abdolhamid
Akbarzadeh, Masoud
author_facet Zheng, Hao
Mofatteh, Hossein
Hablicsek, Marton
Akbarzadeh, Abdolhamid
Akbarzadeh, Masoud
author_sort Zheng, Hao
collection PubMed
description Bio‐Inspired Structures This research resorts to artificial intelligence to inspire from a 2D dragonfly wing skeleton for developing an internal structure of airplane wings. It relates the thickness of the dragonfly members to the in‐plane static equilibrium of forces using Maxwell reciprocal diagrams. The hybrid experimental and numerical tests suggest up to 25% improvements in the out‐of‐plane stiffness of the wing. More details can be found in article number 2207635 by Abdolhamid Akbarzadeh, Masoud Akbarzadeh, and co‐workers. Image credit for the background: Steve Zimmerman. [Image: see text]
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spelling pubmed-102882202023-06-24 Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams (Adv. Sci. 18/2023) Zheng, Hao Mofatteh, Hossein Hablicsek, Marton Akbarzadeh, Abdolhamid Akbarzadeh, Masoud Adv Sci (Weinh) Cover Picture Bio‐Inspired Structures This research resorts to artificial intelligence to inspire from a 2D dragonfly wing skeleton for developing an internal structure of airplane wings. It relates the thickness of the dragonfly members to the in‐plane static equilibrium of forces using Maxwell reciprocal diagrams. The hybrid experimental and numerical tests suggest up to 25% improvements in the out‐of‐plane stiffness of the wing. More details can be found in article number 2207635 by Abdolhamid Akbarzadeh, Masoud Akbarzadeh, and co‐workers. Image credit for the background: Steve Zimmerman. [Image: see text] John Wiley and Sons Inc. 2023-06-23 /pmc/articles/PMC10288220/ http://dx.doi.org/10.1002/advs.202370111 Text en © 2023 Wiley‐VCH GmbH https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Cover Picture
Zheng, Hao
Mofatteh, Hossein
Hablicsek, Marton
Akbarzadeh, Abdolhamid
Akbarzadeh, Masoud
Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams (Adv. Sci. 18/2023)
title Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams (Adv. Sci. 18/2023)
title_full Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams (Adv. Sci. 18/2023)
title_fullStr Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams (Adv. Sci. 18/2023)
title_full_unstemmed Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams (Adv. Sci. 18/2023)
title_short Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams (Adv. Sci. 18/2023)
title_sort dragonfly‐inspired wing design enabled by machine learning and maxwell's reciprocal diagrams (adv. sci. 18/2023)
topic Cover Picture
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288220/
http://dx.doi.org/10.1002/advs.202370111
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AT hablicsekmarton dragonflyinspiredwingdesignenabledbymachinelearningandmaxwellsreciprocaldiagramsadvsci182023
AT akbarzadehabdolhamid dragonflyinspiredwingdesignenabledbymachinelearningandmaxwellsreciprocaldiagramsadvsci182023
AT akbarzadehmasoud dragonflyinspiredwingdesignenabledbymachinelearningandmaxwellsreciprocaldiagramsadvsci182023

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