Sebastian Tafuri
Fraunhofer Chalmers Research Centre for Industrial Mathematics
Papers
5
Total Citations
63
H-Index
4
About
Sebastian Tafuri is a computational researcher whose work sits at the intersection of industrial simulation, robotics, and computer graphics, with a particular focus on advancing digital manufacturing processes in the automotive sector. He is best known for his pioneering contributions to the simulation of electrostatic rotary bell spray painting, a technically demanding problem requiring the coupled simulation of airflow dynamics, electromagnetic fields, and paint droplet physics. His 2013 framework for this process — his most cited work with 32 citations — introduced novel algorithms and an efficient incompressible Navier-Stokes solver, offering the automotive paint industry a powerful tool for evaluating and optimizing robotic painting programs through Off-Line Programming (OLP). Complementing this, his work on improved paint thickness calculation using density estimation further refined the accuracy of deposition modeling. Tafuri has also made notable contributions to collision-free path planning in hybrid geometric models, developing robust proximity-querying methods applicable to assembly analysis, robot line optimization, and virtual maintenance assessment. Across his body of work, totaling over 60 citations, Tafuri has consistently bridged fundamental computational techniques with high-impact industrial applications.
Research Focus
Key Achievements
Top Papers
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- 5Simulation of Spray Painting in Automotive Industry3 citations · 2010