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Updated: Jul 24, 2025
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Multimodal 3D Printing of Phantoms to Simulate Biological Tissue
Published on: January 11, 2020
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Synergizing Algorithmic Design, Photoclick Chemistry and Multi-Material Volumetric Printing for Accelerating Complex
Parth Chansoria1, Dominic Rütsche1,2, Anny Wang1,3
1Department of Health Sciences and Technology, ETH Zürich University, Zürich, 8092, Switzerland.
Summary
A novel coding-based design and high-throughput printing method enables rapid fabrication of complex biomedical shapes. This approach transforms the creation of implants, grafts, and tissue models with intricate designs.
Area of Science:
- Biomedical Engineering
- Materials Science
- Computational Design
Background:
- Biomedical design and manufacturing face challenges with complex 3D constraints and material distribution in implants and grafts.
- Existing methods struggle to efficiently create intricate and customized biomedical structures.
Purpose of the Study:
- To introduce a transformative approach for designing and fabricating complex biomedical shapes.
- To combine algorithmic design with advanced volumetric printing for enhanced biomedical applications.
Main Methods:
- Utilized a coding-based, algorithmic voxel approach to generate diverse porous structures, auxetic meshes, and perfusable constructs.
- Employed finite cell modeling within the design framework for computational analysis of auxetic designs.
- Integrated multi-material volumetric printing using thiol-ene photoclick chemistry for rapid fabrication of heterogeneous shapes.
Main Results:
- Successfully generated a large design library of complex porous and auxetic structures.
- Demonstrated the capability to computationally model and select optimal designs.
- Achieved rapid fabrication of complex heterogeneous shapes with multi-material capabilities.
Conclusions:
- The integrated design, modeling, and fabrication techniques offer a versatile platform for biomedical innovation.
- This approach can advance the development of actuators, biomedical implants, grafts, and tissue/disease models.
- The method significantly enhances the speed and complexity achievable in biomedical manufacturing.
