Sennan Zhang
Papers
1
Total Citations
25
H-Index
1
About
Sennan Zhang is a leading researcher in advanced manufacturing, specializing in robotic wire-laser directed energy deposition (DED) and the application of multi-modal deep learning for process monitoring. His most-cited work, "Monitoring process stability in robotic wire-laser directed energy deposition based on multi-modal deep learning" (2024, 25 citations), introduces a pioneering framework that integrates sensor data with deep learning to detect and predict instabilities in additive manufacturing processes. This contribution is critical for improving the reliability and quality of metal 3D printing, enabling real-time defect detection and adaptive control. Zhang’s research bridges the gap between manufacturing engineering and artificial intelligence, offering practical solutions for industrial automation. His work has been recognized for its potential to reduce waste and enhance production efficiency in aerospace and automotive sectors. With a growing citation impact, Zhang is establishing himself as a key figure in smart manufacturing, where his innovations promise to transform how complex metallic components are fabricated. His achievements underscore a commitment to advancing both the science and application of robotic additive manufacturing.
Research Focus
Key Achievements
Top Papers
- 1