Skip navigation

Dr Mohammad Rahmati

Associate Professor

Department: Mechanical and Construction Engineering

Dr. Rahmati’s research interest lies in the field of turbomachinery for both conventional and renewable power and propulsion. Dr. Rahmati earned a PhD from UCL for developing innovative new viscous inverse methods for turbomachinery blade design. These methods enable the direct and efficient computation of turbomachinery blade geometry instead of time-consuming optimization or trial-and-error approaches, making them highly suitable for industrial applications.  He has conducted research in the field of wet renewable energy and played a key role in developing WRASPA, a novel wave energy converter model that harnesses the power of sea waves to generate electricity. Dr. Rahmati played a crucial role in designing and conducting experimental studies of the device at three various wave tanks at Manchester University, Edinburgh University, and Lancaster University. His research at the Rolls-Royce Centre at Oxford University led to the development of a pioneering efficient computational tool, which enables to carry out the aeroelasticity analysis in multi-stage turbomachines with no ambiguity. This new tool is used in industry to improve the aeroelastic performance of compressors and turbine blades used in gas turbines and wind turbine blades. The originality and impact of Dr Rahmati’s research have been acknowledged by several funding bodies, including EPSRC, which awarded grants for pioneering studies on the mechanism of instabilities in modern `high-lift’ Low-Pressure turbines used in aero-engines of modern passenger aircraft as well as large wind turbine blades.

Mohammad Rahmati

Campus Address

Room WJ302, Wynn Jones Building

  • Developing innovative new design methods for turbomachinery blade 
  • Designing and conducting experimental studies of novel renewable energy devices 
  • Developing efficient computational tools for aeroelasticity analysis in multi-stage turbomachines
  • Improving the aeroelastic performance of compressor and turbine blades used in gas turbines and wind turbine blades
  •  Development of novel SAW ( Surface Acoustic waves) for fluid particle interactions studies  

  • Please visit the Pure Research Information Portal for further information
  • Numerical Analysis of the Performance of a Composite Marine Propeller Blade Subject to Structural Blade Oscillations, Win Naung, S., Erfanian Nakhchi, M., Rahmati, M. 15 Dec 2023, In: Ocean Engineering
  • Numerical simulation of flow through absorbing porous media: Part 2: Swelling porous media, Salokhe, S., Rahmati, M., Masoodi, R. 1 Jan 2024, In: Journal of Porous Media
  • Investigation of the strain rate sensitivity of CoCrFeMnNiTix (x=0, 0.3) high-entropy alloys using the shear punch test, Gonzalez Sanchez, S., Sfikas, A., Kamnis, S., John, S., Barnard, N., Gammer, C., Eckert, J., Garay-Reyes, C., Martínez-Sánchez, R., Win Naung, S., Rahmati, M., Keil, T., Durst, K., Lancaster, R. 1 Sep 2023, In: Materials & Design
  • Fundamentals of Monitoring Condensation and Frost/Ice Formation in Cold Environments Using Thin-Film Surface-Acoustic-Wave Technology, Zeng, X., Ong, H., Haworth, L., Lu, Y., Yang, D., Rahmati, M., Wu, Q., Torun, H., Martin, J., Hou, X., Lv, X., Yuan, W., He, Y., Fu, Y. 26 Jul 2023, In: ACS Applied Materials and Interfaces
  • Numerical and experimental studies of acoustic streaming effects on microparticles/droplets in microchannel flow, Maramizonouz, S., Rahmati, M., Link, A., Franke, T., Fu, Y. 1 Dec 2021, In: International Journal of Engineering Science
  • The effect of fibre swelling on fluid flow in cotton fabrics: An experimental study, Salokhe, S., Rahmati, M., Masoodi, R., Entwistle, J. 2 Mar 2023, In: Capillarity
  • Wake and power prediction of horizontal-axis wind farm under yaw-controlled conditions with machine learning, Erfanian Nakhchi, M., Win Naung, S., Rahmati, M. 15 Nov 2023, In: Energy Conversion and Management

  • Stephen Orritt AEP analysis of floating offshore wind farms through collocation and optimization of VAWT and HAWT wind turbines. Start Date: 01/10/2023
  • Anwar Moumen Jamai Aerodynamic and aeroelastic prediction methods for vertical axis wind turbines both individually and in array configurations Start Date: 01/10/2022
  • Seyedmehdi Hosseini Biroun Numerical and experimental investigation of droplet actuation by surface acoustic waves Start Date: 01/01/2018 End Date: 19/07/2021
  • Sadaf Maramizonouz Numerical and Experimental Study of Interactions between Surface Acoustic Waves, Fluid and Particles in Acoustofluidic Systems Start Date: 01/06/2018 End Date: 25/03/2022
  • Shine Win Naung Computational Method for Aerodynamic and Aeromechanical Analysis of Offshore Wind Turbines Start Date: 01/01/2018 End Date: 19/11/2021
  • Shivam Salokhe Numerical and Experimental study of flow through swelling porous media Start Date: 14/02/2019 End Date: 19/11/2022

  • Mechanical Engineering PhD
  • Fellow (FHEA) Higher Education Academy (HEA) 2016
  • Member American Society of Mechanical Engineering (ASME) 2004

a sign in front of a crowd

Northumbria Open Days

Open Days are a great way for you to get a feel of the University, the city of Newcastle upon Tyne and the course(s) you are interested in.

Research at Northumbria

Research at Northumbria

Research is the life blood of a University and at Northumbria University we pride ourselves on research that makes a difference; research that has application and affects people's lives.

NU World

Explore NU World

Find out what life here is all about. From studying to socialising, term time to downtime, we’ve got it covered.

Latest News and Features

Act Now, Common Sense Policy Group
Nigel Coates Business Clinic
THE Impact rankings
Architecture Apprenticeship Handbook cover
Pictured from left to right are Northumbria University academics Dr Qiang Wu, Dr Juna Sathian, Professor Zabih Ghassemlooy, Dr Yongtao Qu and Dr Xicong Li.
gettyimages/Kobus Louw
More news
More events

Upcoming events

REVEAL: Architecture
REVEAL: Industrial Design
REVEAL: Graphic Design
REVEAL: Animation

Back to top