Hongshuai Guo

Papers

1

Total Citations

2

H-Index

1

About

Hongshuai Guo is a researcher advancing the field of additive manufacturing, with a primary focus on fused deposition modeling (FDM) and multi-orientation printing. His work addresses critical challenges in 3D printing, particularly the step effect and support structure inefficiencies that increase material costs and degrade surface quality. Guo’s most notable contribution is the development of a multi-orientation adaptive slice and path generation method, which leverages a support constraint and relationship matrix to optimize printing trajectories. This innovation mitigates path interference while enhancing surface finish and reducing waste—a significant step toward more efficient, cost-effective FDM processes. Though his career is still emerging, his 2024 paper has already garnered early citations, signaling growing interest from the manufacturing and materials science communities. Guo’s research holds promise for industries relying on rapid prototyping and custom fabrication, where print quality and material economy are paramount. As he continues to refine these algorithms, his work is poised to influence next-generation 3D printing workflows, making him a researcher to watch in the evolving landscape of smart manufacturing.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Multi-orientation adaptive slice and path generation based on support constraint and relationship matrix
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago