Patrick Curley
Papers
2
Total Citations
5
H-Index
2
About
Patrick Curley’s research focuses on advancing the precision and reliability of Parallel Kinematic Machines (PKMs)—a transformative class of machine tools that bridge the gap between traditional CNC machines and industrial robots. His major contributions center on understanding and improving PKM stiffness and machining accuracy. In his highly cited 2022 work, “Stiffness Measurement of Parallel Kinematic Machines Considering Gravity Effect,” he pioneered a method to incorporate gravitational influences into stiffness modeling, a factor often overlooked yet critical for real-world performance. Building on this, his 2025 paper on “Geometrical quality prediction of machining process by Exechon X-mini PKM through deformation modelling and error compensation” demonstrates how deformation modeling and error compensation can significantly enhance machining quality. Though early in his career, Curley’s work has already garnered attention, with his top papers accumulating 3 and 2 citations respectively, reflecting growing interest in his practical, accuracy-focused approach. His research is particularly notable for addressing the gap between theoretical stiffness models and actual machining outcomes, offering actionable solutions for industrial applications. Curley’s contributions are paving the way for more flexible, precise, and reliable manufacturing technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2