This is a self-funded opportunity relying on Computational Fluid Dynamics (CFD) and wind tunnel testing to further the design of porous airfoils with superior aerodynamic efficiency. Building on previous research at Cranfield, which has demonstrated the benefits, the project investigates the impact of various porous structures on aerodynamic performance. Focus is placed on the entire incompressible flow regime ranging from steady laminar to unsteady turbulent configurations, there is also potential to extend the analysis to compressible flows and structural analysis. This research is highly relevant to multiple applications, including small aircraft, drones, turbines, and other systems reliant on efficient fluid flow around foils. The project offers a unique opportunity to gain experience in computational and experimental fluid dynamics in addition to product development.

 

This project falls within the field of fluid dynamics, a discipline central to improving the efficiency of systems that involve the flow of air or liquids. In an era where sustainability and energy conservation are critical, optimising aerodynamic performance is more relevant than ever. Airfoils play a vital role in minimizing energy consumption across a wide range of technologies, from aviation to renewable energy systems. The ability to reduce drag while maintaining or enhancing lift can lead to significant fuel savings, lower emissions, and more efficient operations. After all, the greenest energy is the one that’s not spent – and this project aims to unlock just that by refining the way we design and optimize airfoils.

 

The focus of this project is to explore and optimise porous airfoil configurations to enhance aerodynamic efficiency, with a particular emphasis on the balance between lift and drag. To achieve this, a combination of advanced simulation methods, including Reynolds-Averaged Navier-Stokes (RANS), Direct Numerical Simulations (DNS), and/or Large Eddy Simulations (LES), will be employed to accurately model the complex flow behaviour across different regimes. These simulations will provide critical insights into the effects of various porous structures on aerodynamic performance. Additionally, the project involves the creation of 3D-printed prototypes, which will be tested in wind tunnels to validate the simulation results and assess the practical implications of the porous designs. Both compressible and incompressible flow regimes can be explored in addition to structural analysis and theoretical considerations.

 

Please note that this is a self-funded project and that there is no tuition-fee or maintenance bursary attached to this position.

 

The student will benefit from access to local resources, including Cranfield-based wind tunnels in addition to local and national computing facilities, such as CRESCENT2 and ARCHER2.

 

The expected impact of this research project is twofold: first, it aims to deliver a significant advancement in the design of porous airfoils, achieving measurable improvements in aerodynamic efficiency, particularly in terms of lift-to-drag ratios. These innovations could have a profound effect across various industries, from aviation to renewable energy, by enhancing the performance and sustainability of systems reliant on efficient fluid dynamics. Furthermore, the novel nature of the findings presents an opportunity for patenting innovative porous airfoil designs, potentially leading to commercialisations driving further technological advancements and contributing to the wider adoption of energy-efficient solutions in critical sectors.

 

This project offers several unique selling points, making it an exciting opportunity for personal and professional growth. As part of the research, the student will have opportunities to attend leading international conferences, where they can present findings, engage with experts, and stay at the forefront of developments in CFD and aerodynamic design. The project also provides access to external training opportunities in advanced simulation methods, 3D printing, and wind tunnel testing, enhancing both computational and experimental skills. Additionally, the possibility of contributing to cutting-edge research in a high-impact field means that the student will be part of a pioneering team, with exposure to both academic and industry collaborations. Furthermore, there is the potential for international travel to collaborate with experts and partners, broadening their professional network and enhancing their career prospects.

 

From this experience, the student will gain a wide range of transferable skills that will significantly enhance their employability. They will develop strong technical expertise in Computational Fluid Dynamics (CFD), simulation methods (including RANS, DNS/ LES), and experimental techniques such as wind tunnel testing and 3D printing. The project will also improve their problem-solving, data analysis, and critical thinking abilities, as they work on real-world aerodynamic challenges. In addition, the student will refine their communication skills by presenting research findings at conferences and collaborating with multidisciplinary teams. The experience of contributing to innovative research with commercial potential will also provide valuable insight into product development, entrepreneurship, and the patenting process, further enhancing their career prospects in both academic and industry settings.

 

At a glance

  • Application deadline04 Jun 2025
  • Award type(s)PhD
  • Start date29 Sep 2025
  • Duration of award3 years full-time and 6 years part-time
  • EligibilitySWAG合集, EU, Rest of world
  • Reference numberSATM555

Entry requirements

Applicants should have a first or second class SWAG合集 honours degree or equivalent in a related discipline. This project would suit someone with a background in mechanical, aeronautical, automotive, civil / industrial and/or software engineering (or similar) and/or mathematics and/or physics. The ideal candidate will have a solid background in numerical techniques used to solve ordinary and partial differential equations and be proficient with related commercial or open-source software tools (e.g., ANSYS, FEniCS, OpenFOAM or similar) and at least one programming language (ideally python). Experience in medical data processing is advantageous. Knowledge of CI/CD practices (e.g., git) and experience with scale-resolved simulations are considered beneficial but not essential.

Funding

This is a self-funded opportunity.

Cranfield Doctoral Network

Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students and staff, providing a platform for our researchers to share ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities.

How to apply

For further information please contact:

For further information please contact: Dr Tamás Józsa
Name: Tamás Józsa
Email: tamas.jozsa@cranfield.ac.uk
T: (0) 1234 754 982

 

If you are eligible to apply for this studentship, please complete the