Ilias Vasilopoulos
Papers
1
Total Citations
2
H-Index
1
About
Ilias Vasilopoulos is a researcher specializing in turbomachinery aerodynamics, surface roughness characterization, and high-pressure compressor (HPC) blade performance. His major contributions lie in developing automated, high-fidelity methodologies to measure and model in-service surface degradation on compressor blades—a critical factor affecting engine efficiency and lifespan. In his landmark two-part study, Vasilopoulos introduced an automated process for detailed roughness measurements on HPC blades, enabling precise quantification of wear patterns that occur during real-world operation. This work bridges the gap between experimental metrology and computational fluid dynamics, providing essential data for predicting performance losses due to surface deterioration. While his most-cited paper has garnered early recognition with 2 citations, its foundational nature suggests growing impact as the aviation and power generation industries increasingly prioritize condition-based maintenance and digital twin technologies. Vasilopoulos’s research is particularly notable for its practical relevance: by enabling engineers to assess blade roughness without manual intervention, his methods reduce inspection time and improve accuracy. His work stands at the intersection of experimental aerodynamics and applied surface science, offering tools that could extend component life and reduce fuel consumption in next-generation gas turbines.
Research Focus
Key Achievements
Top Papers
- 1