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[Sponsors] |
Job Record #19607 | |
Title | High-order schemes and non-equilibrium flows |
Category | Internship |
Employer | King Abdullah University of Science and Technology |
Location | Saudi Arabia, Thuwal |
International | Yes, international applications are welcome |
Closure Date | Thursday, May 15, 2025 |
Description: | |
Hypersonic flows encountered during atmospheric re-entry and high-speed aerospace operations demand robust CFD techniques. Under these extreme conditions, chemical non-equilibrium and thermochemical non-equilibrium effects arise due to dissociation, ionization, and vibrational-electronic energy exchanges among multiple species and energy modes. Traditional CFD solvers that assume equilibrium conditions cannot accurately capture these complex physical phenomena. The in-house entropy-stable Discontinuous Galerkin (DG) solver has demonstrated excellent accuracy and stability for single-species flow simulations in a broad range of Mach number flows. However, to extend its applicability to non- equilibrium hypersonic regimes, we must incorporate multi-species and multi- temperature modeling capabilities that account for high-temperature chemical reactions and inter-modal energy transfer. This project aims to extend the existing SSDC solver to accurately simulate chemical non-equilibrium and thermochemical non-equilibrium flows. We are seeking M.Sc. and/or Ph.D. students who have not yet received their degrees. Prerequisites: - At least basic programming skills and an interest to become better. Ideally, in C, Fortran, and Python. - Understanding of the compressible Navier–Stokes equations and fundamentals of high-speed flows is highly desirable. - Prior coursework or hands-on work in numerical methods and CFD is an advantage, although not strictly mandatory. - Comfort with a Linux-based environment for software development, debugging, and potentially high-performance computing is beneficial. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19607 when responding to this ad. | |
Name | Matteo Parsani |
matteo.parsani@kaust.edu.sa | |
Email Application | Yes |
Address | Building 1, Level 0, Office #0140 King Abdullah University of Science and Technology |
Record Data: | |
Last Modified | 15:05:08, Friday, March 14, 2025 |
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