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Analysis and Prediction of Jet Noise in Non-axisymmetric Air Jets: Asymptotic Theory & Large-eddy Simulations within Goldstein’s Acoustic Analogy

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  • Full or part time
    Dr M Afsar
    Prof M Cartmell
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

The aim of this project is to study the effect of mean flow spreading on the low frequency amplification of jet noise in non axisymmetric high Reynolds number jet flows. The approach will use the generalized acoustic analogy where both mean flow and turbulence structure will be extracted from a series of Large Eddy Simulation calculations.

The PhD student will be part of collaborative team of researchers and academics from Mississippi State University and the NASA Glenn Research Center. During the second year of study, the student will be based at Mississippi. The work will involve Computational Fluid Dynamics (CFD) of jet flows using Large Eddy Simulations as well as aero-acoustic modeling using various Applied Mathematical techniques.

YEAR 1:
Reynolds Averaged Navier Stokes calculations on rectangular jets & prediction of sound using a generalized asymptotic analysis.3 months will be spent at Safran Industry at Villaroche in France.

YEAR 2:
Student will be based in Mississippi State this year conducting Large Eddy Simulation calculations

YEAR 3:
Post-processing of turbulence data & Large eddy simulation based jet noise predictions.

Date of Commencement: 1 October 2019

Funding Notes

This is open to Home/EUapplicants and is a three year fully funded scholarship which covers Home/EU tuition fees, and provides a monthly stipend, which is tax free total stipend of £15,009 for 2019/20 (subject to increase)

Qualifications/Skills required: First Class degree in either Applied Mathematics, Mechanical/Aerospace Engineering. Experience in Fortran programming; excellent Matlab skills & a strong desire to learn new applied mathematical methods.



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