Jinsung Ahn

The University of Tokyo

Papers

1

Total Citations

6

H-Index

1

About

Jinsung Ahn is a rising figure in advanced manufacturing, with a primary focus on additive manufacturing and 3D printing process optimization. His most cited work, "Dynamic compensation system development for advanced 3D printing and its evaluation" (2023, 6 citations), tackles a critical challenge in the field: the propagation of defects between layers during additive manufacturing. By developing a dynamic compensation system, Ahn addresses how imperfections in one layer can compromise subsequent layers, directly improving print reliability and quality. This contribution is especially relevant as 3D printing expands from automotive industries to small-scale and individual manufacturing. While his citation count is still growing, Ahn’s work stands out for its practical, systems-level approach to error correction—a key bottleneck for industrial adoption. His research signals a commitment to bridging the gap between theoretical additive manufacturing and real-world, defect-free production. For students and researchers exploring process control in 3D printing, Ahn’s work offers a foundational step toward more robust, layer-by-layer manufacturing systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic compensation system development for advanced 3D printing and its evaluation
6 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: The University of Tokyo

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago