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Author:

Xiang, Mingli (Xiang, Mingli.) | Li, Zun (Li, Zun.) | Lu, Lin (Lu, Lin.) | Wu, Lifang (Wu, Lifang.)

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EI

Abstract:

Medical models play an instrumental role in replicating a patient’s unique anatomy, enhancing surgical outcomes, and fostering effective communication between doctors and patients. While 3D printing technology offers bespoke solutions for such models, producing designs with multiple overhanging tissues often requires advanced 3D printers – making it unattainable for conventional FDM fabrication methods. To bridge this gap, we present a cost-efficient, multi-stage, printing-molding hybrid manufacturing technique that incrementally solidifies complex medical models. Leveraging our adaptive optimization algorithm, we determine the optimal molding direction and the most streamlined manufacturing process with the fewest stages. As a testament to our method’s efficacy, we successfully printed a liver model featuring overhanging tumors. © 2023 Copyright held by the owner/author(s).

Keyword:

3D printing Interactive computer graphics Injection molding

Author Community:

  • [ 1 ] [Xiang, Mingli]Beijing University of Technology, Beijing, China
  • [ 2 ] [Li, Zun]Beijing University of Technology, Beijing, China
  • [ 3 ] [Lu, Lin]Shandong University, Qingdao, China
  • [ 4 ] [Wu, Lifang]Beijing University of Technology, Beijing, China

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Year: 2023

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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