Yanbo Shen
Papers
2
Total Citations
10
H-Index
2
About
Yanbo Shen is a rising researcher in advanced manufacturing, specializing in robotic ultrasonic peen forming—a precision process for shaping high-strength alloys. His work focuses on data-driven modeling and optimization of multi-needle ultrasonic peen-forming, particularly for 2024-T3 aluminum alloy, a material critical in aerospace. Shen’s major contributions include developing response surface methods and machine learning frameworks that predict and optimize forming outcomes, reducing trial-and-error in industrial applications. His 2024 paper on data-driven modeling has already garnered 7 citations, signaling growing influence in the field, while his 2025 follow-up extends the approach to robotic systems. By integrating computational modeling with robotic automation, Shen addresses key challenges in achieving consistent, high-quality peen forming for complex geometries. His research bridges the gap between theoretical process design and practical manufacturing, offering scalable solutions for lightweight alloy fabrication. As a young investigator, Shen’s work is poised to impact aerospace and automotive industries, where precise forming of aluminum alloys is essential for structural components.
Research Focus
Key Achievements
Top Papers
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- 2