Kexiong Yan
Papers
1
Total Citations
5
H-Index
1
About
Dr. Kexiong Yan is a leading figure in advanced optical fabrication, with a core focus on magnetorheological finishing (MRF) and precision surface engineering. His most cited work, "Mapping model of ribbon contour and tool influence function based on distributed parallel neural networks in magneto-rheological finishing" (2024, 5 citations), tackles a fundamental challenge in high-precision polishing: accurately modeling the tool influence function (TIF). By pioneering a distributed parallel neural network approach, Dr. Yan moves beyond conventional physics-based models to capture the complex, nonlinear relationship between ribbon contour and TIF, enabling more reliable and adaptable process control. This innovation directly supports the production of damage-free, ultra-smooth surfaces critical for advanced optics. His research bridges the gap between computational intelligence and manufacturing precision, offering a scalable solution for real-time process optimization. With a growing citation footprint, Dr. Yan’s work is increasingly recognized for its potential to transform deterministic finishing in industries from aerospace to consumer electronics. His contributions mark a significant step toward fully autonomous, data-driven optical fabrication.
Research Focus
Key Achievements
Top Papers
- 1