Integrating Complex Mechanical Models Into the Bioprinters Control Loop
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Our research focuses on enhancing the additive manufacturing of hydrogels, which is crucial in biomedical material production for their biocompatibility and tunable properties. We address challenges in scaling from lab prototypes to industrial production, particularly in maintaining material consistency and reproducibility. Our approach combines control-oriented modeling, model-order reduction, and feedback control in a model-based 3D bioprinting framework. We discuss the numerical solution of the high-fidelity multiphysics model and the implementation of a nested Proper Orthogonal Decomposition (POD) approach to obtain a reduced-order model. The framework is tested in different simulation setups. The goal is to integrate these models into bioprinting control loops for enhanced reproducibility and real-time quality control, aiming for a closed-loop system consistently producing high-quality hydrogel products suitable for applications like human tissue analog fabrication.
