journal article·2025-12-01Open access

Sparse-view irradiation processing volumetric additive manufacturing

Huiyuan Wang, Fangyuan Gao, Yu Shi, Kai Wang, Xinbo Wei, Chunyang Ma, Xiewen Wen, Xueli Chen, Jiebo Li

Abstract

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.
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Research context

OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Additive Manufacturing Materials and Processes · Photopolymerization techniques and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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