Papers
1
Total Citations
4
H-Index
1
About
Eva Begemann is a rising researcher in advanced manufacturing and robotic machining, with a focused expertise in the precision drilling of hybrid material stacks—a critical process for industries like aerospace and automotive. Her most-cited work, "Evaluating the impact of boundary conditions and clamping force in robotic one-up drilling of hybrid stacks" (2025), has already garnered 4 citations, signaling early impact in a niche yet industrially vital field. Begemann’s major contribution lies in systematically analyzing how clamping force and boundary conditions influence drilling accuracy and tool wear in robotic systems, addressing a key bottleneck in automated assembly. By bridging simulation and experimental validation, she provides actionable insights for optimizing process parameters, reducing defects, and enhancing repeatability in one-up drilling—a technique that eliminates disassembly for rework. Her work is notable for its practical relevance, offering manufacturers a data-driven framework to improve quality control in multi-material joints. As a researcher, Begemann exemplifies how targeted, application-oriented studies can drive efficiency in high-stakes manufacturing, making her a valuable voice for students and engineers seeking to advance robotic precision in complex assembly tasks.
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Top Papers
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