Synergizing Algorithmic Design, Photoclick Chemistry and Multi-Material Volumetric Printing for Accelerating Complex Shape Engineering.

algorithmic design auxetic hydrogels multi-material volumetric printing

Journal

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
ISSN: 2198-3844
Titre abrégé: Adv Sci (Weinh)
Pays: Germany
ID NLM: 101664569

Informations de publication

Date de publication:
09 2023
Historique:
revised: 12 06 2023
received: 20 04 2023
medline: 18 9 2023
pubmed: 4 7 2023
entrez: 3 7 2023
Statut: ppublish

Résumé

The field of biomedical design and manufacturing has been rapidly evolving, with implants and grafts featuring complex 3D design constraints and materials distributions. By combining a new coding-based design and modeling approach with high-throughput volumetric printing, a new approach is demonstrated to transform the way complex shapes are designed and fabricated for biomedical applications. Here, an algorithmic voxel-based approach is used that can rapidly generate a large design library of porous structures, auxetic meshes and cylinders, or perfusable constructs. By deploying finite cell modeling within the algorithmic design framework, large arrays of selected auxetic designs can be computationally modeled. Finally, the design schemes are used in conjunction with new approaches for multi-material volumetric printing based on thiol-ene photoclick chemistry to rapidly fabricate complex heterogeneous shapes. Collectively, the new design, modeling and fabrication techniques can be used toward a wide spectrum of products such as actuators, biomedical implants and grafts, or tissue and disease models.

Identifiants

pubmed: 37400372
doi: 10.1002/advs.202300912
pmc: PMC10502818
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2300912

Subventions

Organisme : Swiss National Science Foundation
ID : 205321_179012
Pays : Switzerland
Organisme : Swiss National Science Foundation
ID : 188522
Pays : Switzerland
Organisme : Swiss National Science Foundation
ID : 206501
Pays : Switzerland

Informations de copyright

© 2023 The Authors. Advanced Science published by Wiley-VCH GmbH.

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Auteurs

Parth Chansoria (P)

Department of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.

Dominic Rütsche (D)

Department of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.
Department of Surgery, University Children's Hospital, Basel, 4056, Switzerland.

Anny Wang (A)

Department of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.
Hyperganic Group GmbH, 80799, Munich, Germany.

Hao Liu (H)

Department of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.

Davide D'Angella (D)

Hyperganic Group GmbH, 80799, Munich, Germany.

Riccardo Rizzo (R)

Department of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.

Amelia Hasenauer (A)

Department of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.

Patrick Weber (P)

Department of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.

Wanwan Qiu (W)

Department of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.

Nafeesah Bte Mohamed Ibrahim (NBM)

Department of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.

Nina Korshunova (N)

Hyperganic Group GmbH, 80799, Munich, Germany.

Xiao-Hua Qin (XH)

Department of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.

Marcy Zenobi-Wong (M)

Department of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.

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