TUO
Passive Flow Control for Turbulent Boundary Layer Drag Reduction
✓ Fully Funded
⏰ Closing Soon
🎓 Aerodynamics
🎓 Experimental Physics
🎓 Fluid Mechanics
🎓 Mechanical Engineering
PIV
boundary layer
drag reduction
experimental fluid dynamics
hot-wire anemometry
passive flow control
turbulence
wind tunnel experiments
This PhD focuses on passive flow control strategies to suppress turbulent boundary layers and reduce skin-friction drag. Using wind tunnel experiments and advanced flow measurement techniques, the project explores fundamental turbulence manipulation with applications in aerospace, energy, and transport.
Project Description
The project aims to deepen the understanding of turbulent boundary layer dynamics and passive control methods:
Design and conduct wind tunnel experiments targeting turbulent drag reduction.
Utilize advanced flow measurement techniques, including Particle Image Velocimetry (PIV) and hot-wire anemometry, to characterize flow and quantify drag suppression.
Investigate the mechanisms underpinning passive flow control and develop strategies with potential industrial applications.
Candidates will gain hands-on experience in experimental design, measurement techniques, and data analysis, preparing them for careers in fluid mechanics research and engineering applications.
Entry Requirements
Strong background in fluid mechanics, mechanical engineering, or related fields.
Demonstrated interest in experimental fluid dynamics.
Evidence of meeting UQ’s English language proficiency requirements (e.g., IELTS, TOEFL).
Demonstrated interest in experimental fluid dynamics.
Evidence of meeting UQ’s English language proficiency requirements (e.g., IELTS, TOEFL).
How to Apply
Submit the following documents directly to Dr Azadeh Jafari at a.jafari@uq.edu.au
:
Cover letter
CV
Academic transcript(s)
Evidence of English proficiency
Further details: UQ PhD Project Page
:
Cover letter
CV
Academic transcript(s)
Evidence of English proficiency
Further details: UQ PhD Project Page
Eligibility
UK/Home
EU
International
Supervisor Profile
DA
Dr Azadeh Jafari
The University of Queensland, School of Mechanical and Mining Engineering
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