Sparse-view irradiation processing volumetric additive manufacturing

  • Huiyuan Wang
  • , Fangyuan Gao
  • , Yu Shi
  • , Kai Wang
  • , Xinbo Wei
  • , Chunyang Ma
  • , Xiewen Wen (Corresponding Author)
  • , Xueli Chen (Corresponding Author)
  • , Jiebo Li (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Volumetric additive manufacturing (VAM) transforms traditional 2D light pattern projection into spatial light field energy superposition, maximizing the utilization of radiated light and allowing for ultra-fast, support-free printing, which has specific applications in fields such as life sciences and optics. However, traditional VAM processes require numerous projections and extensive computational preparation, limiting practical applications due to low projection efficiency and prolonged calculation times. In this study, we developed sparse-view irradiation processing VAM (SVIP-VAM), employing an optimized odd-even (OE) irradiation strategy inspired by sparse-view computed tomography. Theoretically, we demonstrated structural contour reconstruction feasibility with as few as 8 projections. Using this sparse-view approach, we achieved high-quality fabrication with only 15 projections, enhancing each projection efficiency by over 60 times and reducing projection set computational time by nearly 10-fold. Ultimately, this efficient sparse-view method significantly expands VAM applications into fields requiring rapid manufacturing, such as tissue engineering, medical implants, and aerospace manufacturing.
Original languageEnglish
Article number065001
Number of pages14
JournalInternational Journal of Extreme Manufacturing
Volume7
Issue number6
DOIs
Publication statusPublished - 1 Dec 2025

Keywords

  • volumetric additive manufacturing
  • 3D printing
  • sparse view
  • odd-even irradiation

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Sparse-view irradiation processing volumetric additive manufacturing'. Together they form a unique fingerprint.

Cite this