Papers

3

Total Citations

13

H-Index

3

About

Tina Abdolmohammadi is a researcher at the forefront of intelligent manufacturing, specializing in robotic rollforming, sheet metal forming, and AI-driven automation for flexible production. Her work addresses a critical challenge in the aeronautical sector: producing complex sheet metal parts with high precision and low tooling costs, even at small batch sizes. Abdolmohammadi’s major contributions include developing virtual sensor-based geometry prediction methods that enable accurate forming of complex parts, significantly improving the buy-to-fly ratio for aerospace applications. She has also pioneered data preparation techniques for AI-based robot control, bridging the gap between raw sensor data and intelligent manufacturing systems. Her research on flexible production of profile components from batch size 1 demonstrates how robotic rollforming can economically replace conventional, tool-intensive processes. With over a dozen citations to her key papers published between 2021 and 2023, Abdolmohammadi’s work is gaining recognition for its practical impact on sustainable, low-volume manufacturing. Her achievements highlight a promising trajectory in advancing flexible automation for high-value industries.

Research Focus

Key Achievements

3
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Virtual Sensor-Based Geometry Prediction of Complex Sheet Metal Parts Formed by Robotic Rollforming
5 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Fraunhofer Institute for Machine Tools and Forming Technology

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago