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Projects: Projects for Investigator
Reference Number EP/L000199/1
Title A Multiscale Simulation Approach to Tackle Fuel Spray Atomisation and Combustion
Status Completed
Energy Categories Fossil Fuels: Oil Gas and Coal(Oil and Gas, Oil and gas combustion) 100%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Dr J Xia
No email address given
Sch of Engineering and Design
Brunel University
Award Type Standard
Funding Source EPSRC
Start Date 24 March 2014
End Date 23 March 2015
Duration 12 months
Total Grant Value £98,639
Industrial Sectors Aerospace; Defence and Marine; Energy; Transport Systems and Vehicles
Region London
Programme NC : Engineering
Investigators Principal Investigator Dr J Xia , Sch of Engineering and Design, Brunel University (100.000%)
  Industrial Collaborator Project Contact , MAHLE GmbH, Germany (0.000%)
Web Site
Abstract As the technology to generate the world's 80% power, combustion of fossil fuels will continue to play a key role in energy production over the next several decades and contributes heavily to carbon emission. In mobile internal combustion engines for road, air and water transportation and stationary gas turbines for electricity generation in power stations, the burning of fossil fuels is widely achieved by liquid fuel injection, which dictates fuel efficiency and emissions. It involves a cascade of complex multiscale, multiphysics, multiphase phenomena, and has been identified as a basic research need for these combustion devices. The need is becoming more urgent as more alternative biofuels are introduced in the fuel market, making the fuel properties more complex and the control of liquid fuel injection more difficult. Therefore, future smart engines require precise control of the injection of a broad variety of fuels that is far more subtle than what can be achieved to date.Currently numerical research on the fuel spray process can be divided in two principal categories: (1) using an Eulerian approach to simulate primary breakup in the dense spray regime and (2) using a Lagrangian approach to simulate turbulence-combustion-droplets interaction in the dilute spray regime. However, to systematically study fuel spray atomisation and combustion cannot be achieved by either approach. To track a large amount of atomised droplets using an Eulerian approach is difficult due to the resolution requirement for small droplets and thin ligaments. For Lagrangian approaches, the widely used computational configurations are homogeneous isotropic/shear turbulence, or temporally/spatially developing mixing layers or jets laden with point-source droplets. Missing important initial conditions of the atomising spray which are determined by primary breakup in the dense spray zone, the research on spray combustion is currently in an early theoretical stage and far from the expected goal of guiding and optimising the design of fuel injection.This project proposes an idea to bridge the gap between the two approaches to simulate fuel spray atomisation and combustion, by keeping the advantages of the two approaches and complementarily remedying their disadvantages with each other. The integrated, multiscale, hybrid Eulerian-Lagrangian simulation approach can be used to perform high-fidelity simulation of the fuel spray atomisation and combustion phenomena and investigate complex multilateral interactions among an atomising liquid-fuel jet, atomised evaporating droplets, combustion, and turbulence on current and future supercomputers. Developing such a predictive numerical tool is an essential first step toward the goal of a complete, predictive simulation capability for the design and optimisation of fuel-efficient and clean engines. It can impact broadly the design of transportation engines including off-highway engines and help the acceleration of diverse biofuels being used in the fuel market, contributing to key emerging industries of bioenergy in the UK. A liquid spray process is also widely used in other research disciplines such as Healthcare Technologies and Advanced Manufacturing. A predictive numerical tool can contribute to improving the scientific understanding, design and control of the spray processes in these prioritised research areas
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Final Report (none)
Added to Database 16/06/14