iCASE Award Industrial Contribution BT

Decrease Jet-Installation Noise (DJINN)

The motivation of DJINN is to work on jet-wing interaction noise for representative engine, pylon and wing configurations at relevant flight conditions. The ambition of the QMUL team is to work with the leading UK and EU universities and aerospace companies in order to maintain industrial and economical leadership in the highly competitive global aviation market. https://djinn.online/

CAD-based wing optimisation for the XRF1 - CASE studentship Airbus

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.

FlexNanoFlow

2D nanomaterials hold immense technological promise thanks to extraordinary intrinsic properties such as ultra-high conductivity, strength and unusual semiconducting properties. Our understanding of how these extremely thin and flexible objects are processed in flow is however inadequate, and this is hindering progress towards true market applications. When processed in liquid ...

JINA: Jet Installation Noise Abatement

One of the major aeroacoustical challenges of modern aircraft is the so-called "jet installation effect" due to the interaction of the jet hydrodynamic field with the airframe. The JINA project aims to address this challenge by bringing together expertise in experimental and computational aeroacoustics as well as design optimisation.

Wind and water turbines: Simulation of unsteady aerodynamic forces and theoretical modelling

High fidelity flow-structural dynamics simulations of wind and water turbines will be pursued using advanced computing clusters and complemented by wind tunnel tests. The results will be analysed and used to derive new fast models that will support future development of new renewable energy devices extracting kinetic energy from the wind and water flows.

Simulation of unsteady aerodynamic forces and theoretical modelling

Adjoint design optimisation of nozzle-rotor turbine geometries with mixing planes

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.

An advanced Skin Care Test Platform

Confidential. 

TRANSIT

TRANSIT (Towards a Robust Airport Decision Support System for Intelligent Taxiing) is a four site project between Queen Mary University of London, the University of Sehffield, University of Stirling and Cranfield University, funded by the UK EPSRC (grant numbers EP/N029496/1, EP/N029356/1, EP/N029577/1). The lead at each site is, respectively, Dr Jun Chen, Prof Mahdi Mahfouf, Dr John Woodward and Dr Mudassir Lone, with Dr Chen as the overall project director. The project also has an extensive list of industrial partners, which currently includes Air France – KLM, BAE Systems, Manchester Airport Plc, Rolls-Royce Plc, Simio LLC and Zurich Airport. The TRANSIT project aims to develop a unified routing and scheduling system which will be more Realistic, Robust, Cost-effective and Configurable, producing better conformance of flight crew in response to 4 Dimensional Trajectories.