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Synergizing algorithmic design, photoclick chemistry and multi-material volumetric printing for accelerating complex shape engineering

View ORCID ProfileParth Chansoria, View ORCID ProfileDominic Rütsche, View ORCID ProfileAnny Wang, View ORCID ProfileHao Liu, View ORCID ProfileDavide D’Angella, View ORCID ProfileRiccardo Rizzo, View ORCID ProfileAmelia Hasenauer, View ORCID ProfilePatrick Weber, View ORCID ProfileNafeesah Bte Mohamed Ibrahim, View ORCID ProfileNina Korshunova, View ORCID ProfileMarcy Zenobi-Wong
doi: https://doi.org/10.1101/2022.11.29.518318
Parth Chansoria
1Department of Health Sciences and Technology, ETH Zürich, Switzerland
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Dominic Rütsche
1Department of Health Sciences and Technology, ETH Zürich, Switzerland
2Department of Surgery, University Children’s Hospital, Switzerland
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Anny Wang
1Department of Health Sciences and Technology, ETH Zürich, Switzerland
3Hyperganic Group GmbH, Munich, Germany
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Hao Liu
1Department of Health Sciences and Technology, ETH Zürich, Switzerland
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Davide D’Angella
3Hyperganic Group GmbH, Munich, Germany
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Riccardo Rizzo
1Department of Health Sciences and Technology, ETH Zürich, Switzerland
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Amelia Hasenauer
1Department of Health Sciences and Technology, ETH Zürich, Switzerland
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Patrick Weber
1Department of Health Sciences and Technology, ETH Zürich, Switzerland
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Nafeesah Bte Mohamed Ibrahim
1Department of Health Sciences and Technology, ETH Zürich, Switzerland
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Nina Korshunova
3Hyperganic Group GmbH, Munich, Germany
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Marcy Zenobi-Wong
3Hyperganic Group GmbH, Munich, Germany
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  • For correspondence: marcy.zenobi@hest.ethz.ch
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Abstract

Accelerating the designing and manufacturing of complex shapes has been a driving factor of modern industrialization. This has led to numerous advances in computational design and modeling and novel additive manufacturing (AM) techniques that can create complex shapes for bespoke applications. By combining a new coding-based design approach with high-throughput volumetric printing, we envision a new approach to transform the way we design and fabricate complex shapes. Here, we demonstrate an algorithmic voxel-based approach, which can rapidly generate and analyze porous structures, auxetic meshes and cylinders, or perfusable constructs. We use this design scheme in conjunction with new approaches for multi-material volumetric printing based on thiol-ene photoclick chemistry to rapidly fabricate complex heterogeneous structures. Collectively, the new design and fabrication technique we demonstrate can be used across a wide-spectrum of products such as actuators, biomedical implants and grafts, or tissue and disease models.

Teaser A new scheme of rapidly designing and printing complex multi-material structures for implant and tissue graft applications.

Competing Interest Statement

Co-authors Anny Wang, Davide D'Angella and Nina Korshunova and are employed by Hyperganic Group GmbH.

Footnotes

  • https://gitlab.hyperganic.com/hyperganic-education/hyperganic-partners/auxetic_and_perfusable_shapes

  • https://www.research-collection.ethz.ch/handle/20.500.11850/583621

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted December 02, 2022.
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Synergizing algorithmic design, photoclick chemistry and multi-material volumetric printing for accelerating complex shape engineering
Parth Chansoria, Dominic Rütsche, Anny Wang, Hao Liu, Davide D’Angella, Riccardo Rizzo, Amelia Hasenauer, Patrick Weber, Nafeesah Bte Mohamed Ibrahim, Nina Korshunova, Marcy Zenobi-Wong
bioRxiv 2022.11.29.518318; doi: https://doi.org/10.1101/2022.11.29.518318
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Synergizing algorithmic design, photoclick chemistry and multi-material volumetric printing for accelerating complex shape engineering
Parth Chansoria, Dominic Rütsche, Anny Wang, Hao Liu, Davide D’Angella, Riccardo Rizzo, Amelia Hasenauer, Patrick Weber, Nafeesah Bte Mohamed Ibrahim, Nina Korshunova, Marcy Zenobi-Wong
bioRxiv 2022.11.29.518318; doi: https://doi.org/10.1101/2022.11.29.518318

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