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Related Experiment Video

Updated: May 10, 2026

Design and Validation of a Volumetric-extrusion Bioprinter for Bioprinting of Soluble Basement Membrane Extract for Translational Research
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Principle-based multiphysics simulation for 3D bioprinting systems: modelling inkjet, extrusion, and DLP processes.

Yunong Yuan1,2, Ahmad-Fahmi Anwar-Fadzil1, Hing Wai Chloe Choi1

  • 1School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Pharmacy and Bank Building A15, Science Road, Sydney, NSW 2006, Australia.

Biofabrication
|May 8, 2026
PubMed
Summary

Theory-based numerical simulation offers a cost-effective and time-saving solution for optimizing additive manufacturing (AM) processes in regenerative medicine. This approach enhances bioink printability and printing parameters without extensive physical experiments.

Keywords:
3D printingdigital light processinginkjet printingmaterials extrusionsimulation

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Computational Biology

Background:

  • Additive manufacturing (AM) techniques like 3D inkjet, materials extrusion (ME), and digital light processing (DLP) are crucial for creating customized drug delivery devices and tissue engineering scaffolds.
  • Current experimental testing of new bioinks and filament designs is costly and time-consuming, hindering rapid innovation.

Purpose of the Study:

  • To explore the application of theory-based numerical simulation for assessing and optimizing AM processes in biological and pharmaceutical fields.
  • To reduce the cost and time associated with physical experimentation in developing new AM applications.

Main Methods:

  • Review of existing theory-based numerical simulation models applicable to AM.
  • Analysis of how these models can predict and optimize bioink printability, printing mechanisms, and post-printing outcomes.
  • Comparison of theory-based models with machine learning approaches for simulation.

Main Results:

  • Theory-based simulation provides an interpretable and data-efficient framework for AM process optimization.
  • Simulation allows for the understanding and optimization of critical parameters without physical trials.
  • Identified opportunities and challenges in leveraging simulation for AM advancements.

Conclusions:

  • Theory-based numerical simulation is a valuable tool for enhancing AM processes in regenerative medicine and personalized treatments.
  • Simulation can accelerate the development and application of novel bioinks and AM techniques.
  • Further development of simulation models can significantly impact the future of personalized medicine.