Dr Jens-Dominik Mueller
Dipl-Ing, MSc, PhD
Research Funding
On this page:
Previous Funded Research Projects
CAD-based wing optimisation for the XRF1 - CASE studentship AirbusFunding source: Airbus Defence & Space LtdStart: 01-09-2018 / End: 31-08-2022 The analysis of aircraft wings is highly multi-disciplinary including e.g. aerodynamic loads as well as structural weight. The large number of parameters that are needed to describe an optimal design requires gradient-based optimisation methods. The unique feature of the project is the first use of a gradient-enabled CAD system in aircraft design which was developed in a preceding project. |
Adjoint design optimisation of nozzle-rotor turbine geometries with mixing planesFunding source: Mitsubishi Heavy IndustriesStart: 01-01-2019 / End: 31-08-2021 Dr. Mueller's research group has developed a CFD solver with an adjoint variant which enables the computation of sensitivity of objective functions such as turbine efficiency at the lowest possible computational cost. These senstivities are essential in shape optimisation with many design parameters. In this project the capability of the adjoint solver is enhanced by an adjoint mixing plane model for the stator-rotor interface. The developed optimisation workflow will be in production at the industrial partner MHI. |
IODA - H2020 - ITN (Marie Curie)Funding source: Commission of the European CommunityStart: 01-01-2015 / End: 31-12-2018 Industrial Optimal Design using Adjoint CFD |
Parallel Multigrid and Mesh RefinementFunding source: Rolls-Royce Deutschland Ltd & Co KGStart: 01-11-2015 / End: 31-10-2018 |
MADDOGFunding source: Commission of the European CommunityStart: 01-09-2015 / End: 31-08-2018 |
Development of an Optimization MethodologyFunding source: Mitsubishi Heavy Industries Engine & Turbocharger LtdStart: 01-01-2017 / End: 31-12-2017 |
AboutFlow Marie Curie (ITN)Funding source: Commission of the European CommunityStart: 01-11-2012 / End: 30-10-2016 Adjoint-based Optimisation of Industrial and Unsteady Flows |
Adjoint Based Optimisation for Turbomachinery ComponentsFunding source: Rolls-Royce Deutschland Ltd & Co KGStart: 01-01-2011 / End: 31-12-2015 Development of novel iterative schemes to stabilise discrete adjoint codes. Development of CAD-based parametrisation methods for shape optimisation with geometric constraints. |
Other Research Projects
CAD-based parametrisation for numerical shape optimisationA major bottleneck for application of gradient-based optimisation in industrial design chains is the parametrisation of the shape. This novel approach keeps the CAD description in the design loop by modifying the control points of the NURBS patches of the surface description. As a unique feature this algorithm maintains continuity … |
Adjoint-based multi-level and multi-physics methods for shape optimisation and error estimation.EC Incoming Fellowships Call, Deadline 10 September 2015 |
Adjoint Multiphysics solvers using automatic differentiationGradient-based optimisation of closely-coupled multi-physics problems using discrete adjoints. |