The effective Modelling of Reverse Transition

Lead Research Organisation: University of Cambridge
Department Name: Engineering

Abstract

The effective Modelling of Reverse Transition
To combat the emissions impact of the increasing demand in air travel jet engines must be adapted and designed to be more efficient. A large lever of control for this is raising turbine entry temperature (TET) but this often leads to increased cooling requirements of the turbine blade resulting in efficiency loss and little if any overall benefit.
Turbine blades are currently cooled by ejecting "cool" air bled from the compressor onto the surface forming a protective low temperature film. This ejection interacts with the developing boundary layer and often leads to transition of the layer to turbulent flow. Recent findings have highlighted this is not always the case. Preventing or delaying film-induced transition would provide benefits to aerodynamic efficiency as well as possible reductions in cooling requirement, in turn boosting cycle efficiency.
Experiments have shown that in some cases the boundary layer remains or reverts to laminar behind the ejection holes, the mechanism behind this has been labelled reverse transition. However, there is no available evidence of what the true physical mechanism is.
The aims of this project are to uncover the exact progress of the boundary layer behind the cooling holes and the mechanism preventing or reversing transition to turbulence. This will be achieved using high fidelity direct numerical simulations validated with cascade experiment data. The dataset gained will enable an understanding of the physics which can then be used to help improve aircraft emissions. Two outcomes within the project is looking at how we can design to exploit the phenomena and including the understanding in lower order models to be used in routine simulations

Planned Impact

1. Impact on the UK Aero-Propulsion and Power Generation Industry
The UK Propulsion and Power sector is undergoing disruptive change. Electrification is allowing a new generation of Urban Air Vehicles to be developed, with over 70 active programmes planning a first flight by 2024. In the middle of the aircraft market, companies like Airbus and Rolls-Royce, are developing boundary layer ingestion propulsion systems. At high speed, Reaction Engines Ltd are developing complex new air breathing engines. In the aero gas turbine sector Rolls-Royce is developing UltraFan, its first new architecture since the 1970s. In the turbocharger markets UK companies such as Cummins and Napier are developing advanced turbochargers for use in compounded engines with electrical drive trains. In the power generation sector, Mitsubishi Heavy Industries and Siemens are developing new gas turbines which have the capability for rapid start up to enable increased supply from renewables. In the domestic turbomachinery market, Dyson are developing a whole new range of miniature high speed compressors. All of these challenges require a new generation of engineers to be trained. These engineers will need a combination of the traditional Aero-thermal skills, and new Data Science and Systems Integration skills. The Centre has been specifically designed to meet this challenge.

Over the next 20 years, Rolls-Royce estimates that the global market opportunities in the gas turbine-related aftercare services will be worth over US$700 billion. Gas turbines will have 'Digital Twins' which are continually updated using engine health data. To ensure that the UK leads this field it is important that a new generation of engineer is trained in both the underpinning Aero-thermal knowledge and in new Data Science techniques. The Centre will provide this training by linking the University and Industry Partners with the Alan Turing Institute, and with industrial data labs such as R2 Data Labs at Rolls-Royce and the 'MindSphere' centres at Siemens.

2. Impact on UK Propulsion and Power Research Landscape
The three partner institutions (Cambridge, Oxford and Loughborough) are closely linked to the broader UK Propulsion and Power community. This is through collaborations with universities such as Imperial, Cranfield, Southampton, Bath, Surrey and Sussex. This will allow the research knowledge developed in the Centre to benefit the whole of the UK Propulsion and Power research community.

The Centre will also have impact on the Data Science research community through links with the CDT in Data Centric Engineering (DCE) at Imperial College and with the Alan Turning Institute. This will allow cross-fertilization of ideas related to data science and the use of advanced data analytics in the Propulsion and Power sectors.

3. Impact of training a new generation of engineering students
The cohort-based training programme of the current CDT in Gas Turbine Aerodynamics has proved highly successful. The Centre's independent Advisory Group has noted that the multi-institution, multi-disciplinary nature of the Centre is unique within the global gas turbine training community, and the feedback from cohorts of current students has been extremely positive (92% satisfaction rating in the 2015 PRES survey). The new CDT in Future Propulsion and Power will combine the core underlying Aero-thermal knowledge of the previous CDT with the Data Science and Systems Integration skills required to meet the challenges of the next generation. This will provide the UK with a unique cohort of at least 90 students trained both to understand the real aero-thermal problems and to have the Data Science and Systems Integration skills necessary to solve the challenges of the future.

People

ORCID iD

Soham Kar (Student)

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S023003/1 01/10/2019 31/03/2028
2777185 Studentship EP/S023003/1 01/10/2022 30/09/2026 Soham Kar