Papers

2

Total Citations

5

H-Index

2

About

Dr. Stephen Wan is a rising expert in advanced manufacturing and surface finishing processes, with a focus on computational fluid dynamics (CFD) and robotic automation. His research centers on optimizing stream finishing techniques—a critical process for achieving high-precision surface quality in industrial components. Dr. Wan’s major contributions include developing numerical simulation frameworks that accurately predict normal force and particle speed during robotic stream finishing, as demonstrated in his 2023 study (3 citations). He further advanced the field by creating a comprehensive CFD simulation platform for surface finishing in advanced manufacturing (2024, 2 citations), which enables engineers to model and refine processes without costly physical trials. Though early in his career, his work bridges simulation and experimental validation, offering practical tools for improving efficiency and consistency in manufacturing. Dr. Wan’s research holds promise for industries requiring ultra-smooth surfaces, such as aerospace and medical device production. His growing citation record reflects the relevance of his simulation-driven approach, positioning him as a key contributor to the digital transformation of manufacturing.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Numerical simulation and experimental study of normal force and particle speed in the robotic stream finishing process
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Agency for Science, Technology and Research, Institute of High Performance Computing

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago