Tianen Guan
Papers
1
Total Citations
14
H-Index
1
About
Tianen Guan is a researcher specializing in cleanroom technology and fluid dynamics, with a focus on optimizing airflow systems for contamination control. His work addresses the critical challenge of enhancing particle removal efficiency in operational cleanrooms, which are vital for industries like semiconductor manufacturing and pharmaceuticals. Guan’s most-cited paper, "Optimization on flow field in an operational cleanroom subject to kinematic component and structural parameters" (2022, 14 citations), systematically investigates how adjustments to kinematic components—such as fan filter units—and structural parameters—like room geometry—can improve airflow uniformity and reduce particle residence time. By combining computational fluid dynamics simulations with experimental validation, he provides actionable insights for designing more efficient cleanroom environments, directly impacting product yield and safety. This research has garnered attention for its practical relevance, offering a framework for balancing energy consumption with stringent cleanliness standards. Guan’s contributions are particularly notable for bridging theoretical optimization with real-world operational constraints, making his work a valuable resource for engineers and researchers aiming to advance contamination control technologies.
Research Focus
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Top Papers
- 1