High-precision path planning for multi-material 3D bioprinting of complex structures
Abstract
Multi-nozzle (MN) collaborative bioprinting enables high-precision fabrication of complex tissue and organ models through synchronous deposition of heterogeneous bioinks within a shared substrate, offering a promising solution for efficient construct generation. However, challenges remain, including nozzle motion interference and inconsistent geometric fidelity when printing asymmetric structures with heterogeneous materials. This study proposes a multi-nozzle collaborative and alternating printing path (MN-CAPP) planning strategy that integrates intra-layer repartitioning with adaptive mode switching to optimize the fabrication of complex heterogeneous tissues. By printing two Y-shaped vascular models with distinct interfaces, MN-CAPP preserves the efficiency advantages of collaborative printing for symmetric regions, improving printing efficiency by 32.4% and 33.0%, respectively, compared with single-nozzle printing. Furthermore, MN-CAPP adaptively regulates printing strategies for regions with significant nozzle step differences based on ink rheology and printing parameters. During the fabrication of size-differentiated scaffolds, the proposed path effectively suppresses edge material stack in small-scale scaffolds, resulting in a 33.8% improvement in pore diffusion degree relative to conventional collaborative printing. Finally, successful fabrication of a heterogeneous rabbit hepatobiliary model demonstrates a deviation of ⩽4% in critical feature dimensions from design specifications, confirming MN-CAPP's effectiveness in enhancing both printing precision and dimensional reproducibility for complex asymmetric structures.
Fields of Study & Subjects
3D Printing in Biomedical Research
Advanced Materials and Mechanics
Nanomaterials and Printing Technologies
Publication details
- Journal / source
- Biofabrication
- Publisher
- IOP Publishing
- Volume
- 18
- Issue
- 1
- Pages
- 015034–015034
- Publication date
- 12 January 2026
- Language
- EN