Christina Schenk
Papers
1
Total Citations
13
H-Index
1
About
Christina Schenk is a researcher at the forefront of automated additive manufacturing, specializing in the intersection of robotics, materials science, and process optimization. Her most-cited work, "Robotically automated 3D printing and testing of thermoplastic material specimens" (2023, 13 citations), introduces a groundbreaking platform that integrates robotic automation with pellet-based 3D printing to systematically explore and characterize thermoplastic materials. This contribution enables high-throughput, reproducible fabrication and testing—measuring weight, impact strength, and surface quality—which is critical for scaling additive manufacturing from lab prototypes to industrial applications. By automating the iterative loop of printing and testing, Schenk’s work accelerates the discovery of optimal processing parameters, reducing waste and human error. Her research directly addresses key challenges in material extrusion, offering a robust framework for future studies in smart manufacturing and digital twins. Though early in her career, Schenk’s innovative approach has already garnered attention for its potential to transform how thermoplastic components are designed, validated, and produced, marking her as a rising authority in automated materials processing.
Research Focus
Key Achievements
Top Papers
- 1