My background is in mechanical engineering, with over six years of industry experience across design, product development and computational engineering. I’ve worked on a wide range of engineering applications, from mechanical and fluid systems to structural and thermal analysis. This varied experience has given me a broad engineering background, combining practical design and development with advanced simulation and analysis.
Project title: High-Fidelity CFD and Aeroacoustics Investigation of Turbulent Flow-Induced Noise From Aircraft Landing Gear
Project Partner: Safran SLS
University: University of Bristol
Supervisors: Dr Mohammad Jadidi and Professor Mahdi Azarpeyvand
Briefly, what is your PhD project about?
My PhD investigates turbulent flow-induced noise from aircraft landing gear using high-fidelity CFD and computational aeroacoustics. The research aims to understand how turbulent flow structures around complex landing-gear components generate noise, identify the dominant noise sources, and improve methods for predicting them. The project will also explore data-driven analysis techniques to better understand the relationship between turbulent flow and the resulting acoustic field.
Why is it important to do this research?
Aircraft landing gear is a significant source of aerodynamic noise during approach and landing, making it an important area for noise reduction. Better understanding and predicting how this noise is generated can help inform quieter landing-gear designs and allow potential solutions to be explored computationally earlier in the design process. The research aims to support the development of quieter aircraft and reduce the wider impact of aviation noise.
What drew you to studying this PhD?
Having worked with CFD and simulation throughout my engineering career, I wanted to build on that experience while developing skills in new areas. This project stood out to me because it combines high-fidelity CFD with aeroacoustics, looking not just at how turbulent flow develops around landing gear, but how those flow structures contribute to noise generation. It also provides the opportunity to develop experience in advanced data-driven techniques, including modal decomposition and machine learning. The combination of building on my existing experience while developing a much broader computational skill set is what really drew me to the PhD.
What were you doing before joining the CDT?
Before joining the CDT, I worked in engineering roles across design, product development and simulation. My experience covered a range of mechanical and fluid systems, involving design, analysis and validation throughout the development process. As a Lead Engineer, I also worked on advanced simulation and analysis for a variety of engineering applications.
What do you do on a typical PhD day so far?
I wouldn’t say there is a typical day, especially as I’ve only recently started. At the moment, I might be reading around my research area, developing my understanding of aeroacoustics, getting familiar with the computational tools I’ll be using, or attending training sessions. I also meet with my supervisors to discuss the project and next steps, so there is a good mix of learning and getting set up for the research ahead.