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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.
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.
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.
