Academic Profile

Academic Profile

Asst Prof Ng Bing Feng

Assistant Professor, School of Mechanical & Aerospace Engineering

Phone: +65 67904163
Office: N3.2 02 78
Asst Prof Ng Bing Feng

Bing Feng's current research focus is in fluids and structures as well as their interaction through FSI.

The first research area involves the study of fluid mechanics to achieve energy and environment sustainability in aerospace and building applications. In aerospace, the research focuses on drag reduction for low speed aerodynamics as well as integration of machine learning techniques to improve computational efficiency. In buildings, the research is in the manipulation of building flow dynamics through both active and passive means achieved through IoT enabled predictive control methods and radiative coolers. In parallel, investigation is extended to atmospheric and environmental science, focusing on the fundamentals of aerosol dynamics in two-phase flows as well as experimental investigations into pollution/emission characterisation.

The second research area focuses on structural dynamics to fundamentally investigate energy savings that can be derived from lightweight and topologically optimised structures with specific application in rotary systems (including helicopters, wind turbines, vertical take-off and landing (VTOL) systems, etc). This involves understanding the limits of advanced manufacturing techniques (such 3D printing) to achieve lightweight structures and their characterisation in terms of dynamic responses. This further extends to fluid-structure interactions (FSI) in aero-servo-elasticity, wind and marine applications as well as improving computational efficiency.
Research Interests
Fluids and structures, aero-servo-elasticity, computation efficiency, lightweight structures, additive manufacturing (3D printing), topology optimisation, structure dynamics, robust control, rotary system (helicopters, VTOL, wind and marine turbines).
Building sustainability, predictive methods, aerosol science, pollution, emission characterisation
Current Projects
  • Characterisation of Nanoparticle Emissions from Fused Deposition 3D Printing
  • Indoor air quality and cognitive performance
  • Intelligent Building Automation and Analytics using Model-Predictive Control (MPC)
  • Investigation of Daytime Radiative Cooling in Tropical Climates
  • Large Vertical Take-Off & Landing (VTOL) Research Platform: Prototype development and demonstration
  • Wind energy systems: Aero-servo-elasticity, design, optimisation and opportunities
Selected Publications
  • Yang, Shiyu, Wan, Man Pun, Ng, Bing Feng, Zhang, Tian, Babu, Sushanth, Zhang, Zhe, Chen, Wanyu, Dubey, Swapnil. (2018). A state-space thermal model incorporating humidity and thermal comfort for model predictive control in buildings. Energy and Buildings, 170, 25-39.
  • Bing Feng Ng, Jin Wen Xiong, Man Pun Wan. (2017). Application of acoustic agglomeration to enhance air filtration efficiency in air- conditioning and mechanical ventilation (ACMV) systems. PLoS ONE, .
  • Bing Feng Ng, Rafael Palacios, Eric C. Kerrigan, J. Michael R. Graham and Henrik Hesse. (2016). Aerodynamic load control in horizontal axis wind turbines with combined aeroelastic tailoring and trailing-edge flaps. Wind Energy, 19(2), 243–263.
  • Bing Feng Ng, Henrik Hesse, Rafael Palacios, J. Michael R. Graham and Eric C. Kerrigan. (2015). Aeroservoelastic state-space vortex lattice modeling and load alleviation of wind turbine blades. Wind Energy, 18(7), 1317-1331.
  • Bing Feng Ng, Rafael Palacios, J. Michael R. Graham. (2015). Model-based aeroelastic analysis and blade load alleviation of offshore wind turbines. International Journal of Control, .

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