High-precision path planning for multi-material 3D bioprinting of complex structures

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.

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Publication Details

Journal
Biofabrication
Published
2026-01-12
DOI
https://doi.org/10.1088/1758-5090/ae36f8
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
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article

High-precision path planning for multi-material 3D bioprinting of complex structures

Lily Raymond, Weikang Lv, Wenyu Ning, Prof. Yifei Jin et al.
Biofabrication
3D Printing in Biomedical Research
article

High-precision path planning for multi-material 3D bioprinting of complex structures

Lily Raymond, Weikang Lv, Wenyu Ning, Prof. Yifei Jin, Jiangtao Hao, Wenbo Jin, Cheng Zhang, Fei Duan, Danyang Zhao, Shijun Li, Jian Yang, Yang Yang, Sai Ma
article en

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.

BiofabricationVol. 18(1)
University of Nevada, Reno (US), Dalian University of Technology (CN), Dalian Municipal Central Hospital (CN), Zhejiang University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 90%
3D Printing in Biomedical Research
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