Teng Cao

Teng is Lecturer in the Termofluids Division, Department of Mechanical Engineering, Imperial College London. He obtained his Ph.D. in 2015 at Whittle Laboratory, University of Cambridge. He continued as Research Associate at the Whittle Lab. In 2016, he became MHI Senior Research Fellow and College lecturer at Girton College. He was appointed as Lecturer by Imperial College in September 2021.

His research has been in the field of turbomachinery which is a crucial component for the current and foreseeable future energy systems in the world. He is passionate about improving the energy system's performance through understanding its aerothermal mechanics using both numerical and experimental methods. Over the years, his work has been devoted to various research areas: (1) Developing high-performance centrifugal compressors, (2) Low-order modeling of Turbomachinery, (3) Fan-intake interactions, and (4) Pulsating flow effects on turbocharger turbine performance.

His research outcomes have been largely recognized by peers and published in the world’s premier journals and peer-reviewed conferences. His recent work on centrifugal compressor tip leakage flow instability has been awarded the ‘Turbomachinery Committee Best Paper’ by the American Society of Mechanical Engineering. He has also been working closely with industries on real-world problems. His research has contributed to developing design tools that have been used by industries for design and research purposes.

He is also an enthusiastic teacher who is dedicated to education and outreach in Engineering.

Selected Publications

Journal Articles

• Cao T, Kanzaka T, Xu L, et al., 2021, Tip Leakage Flow Instability in a Centrifugal Compressor, Journal of Engineering for Gas Turbines and Power - Transactions of the ASME, Vol:143, ISSN:0742-4795
• Vadlamani NR, Cao T, Watson R, et al., 2019, Toward Future Installations: Mutual Interactions of Short Intakes With Modern High Bypass Fans, Journal of Turbomachinery - Transactions of the ASME, Vol:141, ISSN:0889-504X
• Young AM, Cao T, Day IJ, et al., 2017, Accounting for Eccentricity in Compressor Performance Predictions, Journal of Turbomachinery - Transactions of the ASME, Vol:139, ISSN:0889-504X
• Cao T, Hield P, Tucker PG, 2017, Hierarchical Immersed Boundary Method with Smeared Geometry, Journal of Propulsion and Power, Vol:33, ISSN:0748-4658, Pages:1151-1163
• Cao T, Xu L, 2016, A Low-Order Model for Predicting Turbocharger Turbine Unsteady Performance, Journal of Engineering for Gas Turbines and Power - Transactions of the ASME, Vol:138, ISSN:0742-4795
• Lu Y, Cao T, Liu K, 2019, Grid-size requirements for Large Eddy simulations: estimates for different orders of accuracy based on local reconstruction type schemes, AIAA Aviation 2019 Forum, American Institute of Aeronautics and Astronautics