Valentina Furlan

University of Pavia, Politecnico di Milano

Papers

5

Total Citations

32

H-Index

3

About

Valentina Furlan is a leading researcher in advanced manufacturing, specializing in robotic additive manufacturing and non-planar 3D printing. Her work focuses on overcoming the limitations of traditional layer-by-layer fabrication by developing novel slicing algorithms and motion strategies for multi-axis robotic systems. Furlan’s major contributions include pioneering non-planar slicing techniques for robot-based Fused Deposition Modeling (FDM), which enable the supportless fabrication of free-form geometries—a critical advancement for industries like aerospace and oil and gas. Her 2023 paper comparing eight-axis articulated robots with five-axis CNC gantry systems for laser metal deposition (12 citations) provides essential guidance for selecting manufacturing platforms for large-scale components. She also introduced a novel infill strategy for 6-axis robotized FDM (7 citations) and a flexible path planning algorithm for robotic filament winding of non-axisymmetric structures. With over 30 citations across her most-cited works, Furlan’s research is shaping the future of automated, high-precision manufacturing, making complex geometries more accessible and efficient. Her ongoing work in adaptive slicing and contour methods continues to push the boundaries of what is possible in additive manufacturing.

Research Focus

Key Achievements

3
H-Index
5
Papers
32
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Comparison between Eight-Axis Articulated Robot and Five-Axis CNC Gantry Laser Metal Deposition Machines for Fabricating Large Components
12 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Pavia, Politecnico di Milano

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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