Abstract
Bioprinting continues to expand as a preferred fabrication technology as new biomaterials emerge. These biomaterials must be biocompatible, in addition to exhibiting suitable printing characteristics. Printability is usually gauged by metrics such as extrudability, fiber morphology, and shape fidelity, and optimized via design of experiments or machine learning methods. However, these optimization techniques often overlook dynamic variables such as time-dependent behavior and batch-to-batch variability that can significantly affect the quality of printed structures. In this study, we 3D-printed colloidal hydrogels to investigate the effects of printing parameters and elapsed time on overall hydrogel print quality.
Impact Statement
We introduce colloidal hydrogels, which, unlike conventional systems, these materials incorporate a pressure-dependent variable that temporally shifts the optimal printing landscape. Understanding this evolving parameter space and establishing systematic models to predict and control it will be essential for harnessing the full potential of colloidal hydrogels in additive manufacturing.
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Supplementary Material
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