Patrick L.F. Kengne
Papers
1
Total Citations
12
H-Index
1
About
Patrick L.F. Kengne is a researcher focused on the intersection of advanced manufacturing and robotics, with a particular emphasis on improving precision in machining processes. His key research areas include robotic-assisted milling, vibration suppression, and form error prediction in thin-wall workpiece manufacturing. Kengne’s major contribution lies in developing computational models that simulate and predict form errors during robotic-assisted milling, a process where a robot supports a workpiece to dampen vibrations and enhance cutting accuracy. His 2019 paper, "Form Error Prediction in Robotic Assisted Milling," introduces a static force model combined with a frequency domain analysis to forecast deviations in workpiece geometry, offering a pathway to minimize defects without costly trial-and-error adjustments. While his citation count (12 for this work) reflects a growing niche impact, his research addresses a critical challenge in high-precision industries like aerospace and automotive, where thin-walled components are common. Kengne’s work stands out for its practical integration of robotics into traditional machining, potentially reducing waste and improving efficiency—a notable achievement for advancing smart manufacturing technologies.
Research Focus
Key Achievements
Top Papers
- 1Form Error Prediction in Robotic Assisted Milling12 citations · 2019