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'New Simulation Tools Set to Help UK Aerospace Fly' - Simulations undertaken with PyFR featured in Aerospace Manufacturing

Overview

What is PyFR?

PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. The current release (PyFR 0.2.2) has the following capabilities:

  • Governing equations - Euler, Navier Stokes
  • Dimensionality - 2D, 3D
  • Element types - Triangles, Quadrilaterals, Hexahedra, Prisms, Tetrahedra
  • Platforms - CPU clusters, Nvidia GPU clusters, AMD GPU clusters
  • Spatial discretisation - High-order flux reconstruction
  • Temporal discretisation - Explicit Runge-Kutta
  • Precision - Single, Double
  • Mesh files read - Gmsh (.msh)
  • Solution files produced - Unstructured VTK (.vtu)
What is PyFR Not?

PyFR is not a fully fledged ‘production’ flow solver with all the associated bells and whistles. Additionally, while we will do our best to help new users, no level of support is guaranteed!

Who is Developing PyFR?

PyFR is being developed in the Vincent Lab, Department of Aeronautics, Imperial College London, UK. More details about the development team are available here.

How do I get PyFR?

PyFR is available for free under an open-source license. You can download it here.

Who is Funding PyFR?

Development of PyFR is supported by the Engineering and Physical Sciences Research Council and Airbus. We are also grateful for hardware donations from Nvidia, Intel, and AMD.

Join our Team

Postdoctoral Position - Developing Next Generation Computational Fluid Dynamics Software
Summary: A fully funded postdoctoral position is currently available. The role will involve developing PyFR, an open-source high-order flow solver that is designed to efficiently target a range of hardware platforms. Candidates should hold, or expect to obtain, a PhD in a numerate discipline from a world-leading university.

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PhD Position - High Accuracy High Fidelity CFD for Hydro-Acoustic Source Prediction
Summary: A fully funded PhD position is currently available. The project, undertaken in collaboration with BAE Systems, will involve adapting the high-order flow solver PyFR to solve incompressible flow problems. Candidates should hold, or expect to obtain, a 1st Class undergraduate degree in a numerate discipline from a world-leading university.

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