Thomas Romeijn
Papers
1
Total Citations
6
H-Index
1
About
Thomas Romeijn is a researcher focused on the intersection of additive manufacturing and computational design, with a particular emphasis on sensor integration and process optimization. His most cited work, "Voxel-based sensor placement for additive manufacturing applications" (2021), introduces a novel methodology for embedding sensors directly into 3D-printed components using a voxel-based approach. This contribution addresses a critical challenge in smart manufacturing: how to strategically position sensors within complex geometries to enable real-time monitoring without compromising structural integrity. While his citation count is still growing, Romeijn's work is gaining traction among researchers exploring cyber-physical production systems and functional additive manufacturing. His approach bridges the gap between design simulation and practical implementation, offering a scalable framework for creating intelligent, self-monitoring parts. By enabling more precise sensor placement, his research supports advancements in predictive maintenance, quality control, and adaptive manufacturing processes. Romeijn's work represents a foundational step toward fully integrated smart materials, positioning him as an emerging voice in the field of digital manufacturing and sensor-driven production.
Research Focus
Key Achievements
Top Papers
- 1Voxel-based sensor placement for additive manufacturing applications6 citations · 2021