Neelotpal Dutta

University of Manchester

Papers

2

Total Citations

7

H-Index

2

About

Neelotpal Dutta is a rising researcher in advanced manufacturing, with a primary focus on robot-assisted 3D printing and computational geometry for additive fabrication. His most cited work, "Support Generation for Robot-Assisted 3D Printing with Curved Layers" (2023), addresses a critical bottleneck in the field: adapting support structures for non-planar, curved-layer printing. While traditional planar-layer methods rely on fixed printing directions, Dutta’s algorithm enables the generation of supports that conform to complex curved geometries, a key enabler for fabricating optimized, lightweight structures. This contribution has already garnered early citations, reflecting its importance to the community. Dutta’s research sits at the intersection of robotics, material science, and design automation, aiming to push the boundaries of what can be printed—moving beyond flat layers to truly three-dimensional fabrication. His work is particularly relevant for applications in aerospace, biomedical implants, and custom manufacturing, where curved-layer printing offers superior mechanical performance and material efficiency. As a young researcher, Dutta is establishing himself as a contributor to the next generation of additive manufacturing technologies.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Support Generation for Robot-Assisted 3D Printing with Curved Layers
5 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Manchester

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago