Papers
7
Total Citations
86
H-Index
4
About
Andreas Mark is a computational researcher specializing in industrial process simulation, with a particular focus on automotive manufacturing applications including spray painting, sealing, and adhesive joining. His work bridges advanced fluid dynamics, electromagnetics, and robotics to develop simulation frameworks that optimize complex industrial processes. Mark's most influential contribution is his 2013 framework for simulating electrostatic rotary bell spray painting, which couples air flow, electromagnetic fields, and paint droplet dynamics to evaluate robotic painting programs with remarkable computational efficiency — earning 32 citations and establishing him as a key figure in virtual manufacturing. Building on this, his 2012 work on density estimation techniques for spray paint thickness calculation advanced the accuracy of off-line programming tools for industrial paint robots. His research extends beyond painting into sealing and adhesive processes, with notable papers on robotised sealing station optimization (26 citations) and automatic path planning for adhesive joining, reflecting a consistent drive to automate and virtually validate manufacturing workflows. His 2018 viscoelastic flow framework further demonstrates his versatility, with applications spanning seam sealing to additive manufacturing. Collectively, Mark's work provides the automotive and manufacturing industries with powerful simulation tools that reduce cycle times, improve quality, and enable smarter robotic programming.
Research Focus
Key Achievements
Top Papers
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- 3Process Simulation and Automatic Path Planning of Adhesive Joining13 citations · 2016
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- 6Simulation of Spray Painting in Automotive Industry3 citations · 2010
- 7A virtual framework for simulation of complex viscoelastic flows3 citations · 2018