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 Airbus

Funding source: Airbus Defence & Space Ltd
Start: 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 planes

Funding source: Mitsubishi Heavy Industries
Start: 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 Community
Start: 01-01-2015  /  End: 31-12-2018

Industrial Optimal Design using Adjoint CFD

Parallel Multigrid and Mesh Refinement

Funding source: Rolls-Royce Deutschland Ltd & Co KG
Start: 01-11-2015  /  End: 31-10-2018


Funding source: Commission of the European Community
Start: 01-09-2015  /  End: 31-08-2018

Development of an Optimization Methodology

Funding source: Mitsubishi Heavy Industries Engine & Turbocharger Ltd
Start: 01-01-2017  /  End: 31-12-2017

AboutFlow Marie Curie (ITN)

Funding source: Commission of the European Community
Start: 01-11-2012  /  End: 30-10-2016

Adjoint-based Optimisation of Industrial and Unsteady Flows

Adjoint Based Optimisation for Turbomachinery Components

Funding source: Rolls-Royce Deutschland Ltd & Co KG
Start: 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 optimisation

A 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 differentiation

Gradient-based optimisation of closely-coupled multi-physics problems using discrete adjoints.