Rate My Professor David Bradney

Dr Bradney's academic interests center on bulk materials, computational fluid dynamics, discrete element method modelling (DEM), finite element modelling, and wind energy. His key publications include journal articles like 'A low-cost, high-speed, multi-channel Arduino-based data acquisition system for wind turbine systems' (Wind Engineering, 2020), 'Development and experimental verification of a 5 kW small wind turbine aeroelastic model' (Journal of Wind Engineering and Industrial Aerodynamics, 2018), 'Assessing the IEC simplified fatigue load equations for small wind turbine blades: How simple is too simple?' (Renewable Energy, 2018), 'Sawfishes stealth revealed using computational fluid dynamics' (Journal of Fish Biology, 2017), and 'The suitability of the IEC 61400-2 wind model for small wind turbines operating in the built environment' (Renewable Energy and Environmental Sustainability, 2017). He has also contributed conference papers, such as those on diffuser augmented wind turbines and aeroelastic measurements (2016), and a book chapter 'The Effect of Tail Fin Size on the Yaw Performance of Small Wind Turbines Operating in Unsteady Flow' (2019). Dr Bradney has participated as an investigator in nine grants totaling $976,436, including bulk materials handling research ($287,130, 2022-2024), tailings management dewatering flume site trials ($278,500, 2020-2024), and development of a smart monitoring safety system for conveyor belt lifting technology ($50,000, 2020). His work bridges academia and industry, applying advanced modelling to challenges in mining, manufacturing, and energy.