Papers
1
Total Citations
2
H-Index
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About
Ning Dai is a researcher advancing the field of additive manufacturing, with a focus on continuous fiber-reinforced structures and intelligent path planning. Their key research areas include fused deposition modeling (FDM), curved layer printing, and the optimization of composite material deposition to enhance structural integrity. Dai’s most notable contribution is the development of a path planning method for curved layer FDM that achieves iso-void depth—a critical innovation for minimizing internal defects in fiber-reinforced parts. This work, published in 2025, has already garnered 2 citations, signaling early recognition for its practical implications in aerospace and automotive lightweighting. By addressing the challenge of void distribution in complex geometries, Dai’s research bridges the gap between theoretical design and manufacturability, offering a pathway to stronger, more reliable composite components. Their work stands out for its integration of geometric precision with material science, making it a valuable reference for researchers exploring advanced additive manufacturing techniques. Dai’s contributions are poised to influence next-generation production methods for high-performance structures.
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