Yindi Cai

Dalian University of Technology

Papers

1

Total Citations

18

H-Index

1

About

Yindi Cai is a researcher whose work lies at the critical intersection of precision engineering and metrology, with a primary focus on enhancing the accuracy of rotary stages—the fundamental components of machine tools, measuring instruments, and robots. Her most notable contribution is the development of an innovative embedded sensor system capable of simultaneously detecting five-degree-of-freedom (5-DOF) error motions in real time. This breakthrough addresses a long-standing challenge in precision manufacturing: the geometric errors of rotary stages that directly compromise the accuracy of constructed machines. By enabling the simultaneous measurement of two radial and three angular error motions, Cai's system provides a comprehensive, real-time solution that surpasses conventional single-axis measurement approaches. Her 2019 paper on this topic has garnered 18 citations, reflecting its significance among peers in the field. This work not only advances the theoretical understanding of error compensation but also offers practical, embedded solutions for improving the performance of high-precision systems. Cai's research is particularly valuable for engineers and scientists working on next-generation machine tools, coordinate measuring machines, and robotic systems where sub-micrometer accuracy is paramount.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
An Embedded Sensor System for Real-Time Detecting 5-DOF Error Motions of Rotary Stages
18 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Dalian University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago