Sponsor
This study has been conducted with the support of the Korea Institute of Industrial Technology as “Development of controllable mechanical and biological properties scaffold based on additive manufacturing (KITECH JE-22-0012)”
Published In
Materials
Document Type
Article
Publication Date
5-20-2025
Subjects
3D printing, Rheology, Tissue engineering -- Research
Abstract
The field of tissue engineering increasingly demands accurate predictive models to optimize the 3D printing process of bio-scaffolds. This study presents a unified numerical model that predicts extrusion velocity and strut diameter based on printing conditions and the material properties of polycaprolactone (PCL) and dimethyl sulfone (DMSO2) composites. The extrusion velocity was simulated using Navier–Stokes equations, while the strut diameter was calculated via a surface energy model. For PCL, the extrusion velocity showed a temperature coefficient of 23.3%/°C and a pressure coefficient of 19.1% per 100 kPa; the strut diameter exhibited a temperature coefficient of 21.6%/°C and a pressure coefficient of 16.6% per 100 kPa. When blended with DMSO2, the lower viscosity and higher surface energy resulted in increased extrusion velocity and strut diameter. The proposed model achieved a high predictive accuracy, with determination coefficient (R²) values exceeding 0.95. These results demonstrate the model’s potential to optimize 3D printing parameters, guide biomaterial selection, and predict pore characteristics, ultimately supporting the rational design of tissue engineering scaffolds.
Rights
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Locate the Document
DOI
10.3390/ma18102380
Persistent Identifier
https://archives.pdx.edu/ds/psu/43684
Publisher
MDPI AG
Citation Details
Jang, J.-W., Min, K.-E., Park, J.-H., Kim, C., & Yi, S. (2025). Predicting Strut Geometry of PCL and DMSO2 Biocomposites from Nozzle to Deposition in Bio-Scaffold 3D Printing. Materials, 18(10), 2380.