Professor Vahdati is the Principal Research Fellow in the Dynamics Group, and leads the Aeroelasticity Group in the Vibration University Technology Centre sponsored by Rolls-Royce plc.
His main research focus is the development of CFD algorithms, modelling fan blade flutter, turbine and compressor forced response, stall and surge modelling, and aeroacoustic and aeroelastic phenomena. In practice, one of the main reasons for turbomachinery failure is vibration, and our work is directly relevant to industry. Through modelling the behaviour and mitigating causes of engine failures, leads to substantial increases in safety and reliability, provides energy-efficient environmental friendly benefits and major costs savings.
In 2001, he was awarded by Rolls-Royce plc the title Rolls-Royce Research Fellow at Imperial College, in recognition for his contributions to the company
Lee K-B, Wilson M, Vahdati M, 2017, Numerical Study on Aeroelastic Instability for a Low-Speed Fan, Journal of Turbomachinery-transactions of the Asme, Vol:139, ISSN:0889-504X
Lee KB, Wilson M, Vahdati M, 2017, Validation of a numerical model for predicting stalled flows in a Low-speed fan
Stapelfeldt S, Vahdati M, 2017, On the importance of engine-representative models for fan flutter predictions
et al., 2017, Towards a holistic prediction of fan stage tone noise mechanisms