Papers
9
Total Citations
73
H-Index
5
About
Cees Bil is a leading researcher at the intersection of advanced manufacturing, robotics, and digital systems, with a primary focus on robotic electric discharge machining (EDM) for hard-to-cut materials like titanium. His work addresses a critical challenge in aerospace and defense manufacturing: enabling flexible, high-precision machining of large, complex workpieces using six- and seven-axis industrial robots. Bil’s major contributions include pioneering servo control strategies for vibration control in robotic wire EDM, developing novel end-effector designs through systematic TRIZ-based methods, and creating digital twins for accurate offline cutting-path programming and calibration. His most cited paper (18 citations) explores transdisciplinary approaches to digital manufacturing for Industry 4.0, reflecting his broader vision of smart, connected production systems. With a portfolio spanning from particle swarm optimisation for graph permutations to real-time robotic control, Bil’s work has accumulated over 70 citations, demonstrating significant impact in both theoretical and applied manufacturing research. His recent achievements include a 2025 study on digital twin calibration for seven-axis robotic EDM, positioning him at the forefront of flexible, force-free machining for next-generation industrial applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Servo Control Strategies for Vibration-Control in Robotic Wire EDM Machining16 citations · 2021
- 3
- 4Accurate vibration-free robotic milling electric discharge machining7 citations · 2022
- 5
- 6A Particle Swarm Optimisation Approach to Graph Permutations4 citations · 2007
- 7
- 8Design of a Wire Cut EDM End-Effector with Strict Robotic Constraints2 citations · 2021
- 9A Novel Robotic EDM Digital Twin for Offline Cutting-Path Programming2 citations · 2023