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Dr Eldad Avital


Research Funding

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Current Funded Research Projects

Disinfecting indoor air against diseases as COVID and TB in cities in the Indian subcontinent

Funding source: Royal Academy of Engineering
Start: 15-04-2021  /  End: 14-04-2023
Amount: £39,490

The aim of this project is to develop an air filtration system for the Indian subcontinent with heavy pollution settings, while having air infection risk. Strategies of deployment and usage will be developed along with training of UK and Indian students, and knowledge transfer with industry with overall UK & India budget of £80k.

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

Funding source: Royal Society
Start: 20-03-2019  /  End: 19-03-2022
Amount: £12,000

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.

Engineering X Pandemic Preparedness

Funding source: Royal Academy of Engineering
Start: 15-07-2020  /  End: 14-07-2021
Amount: £20,000

Team: UK Principal Investigator: Dr Eldad Avital Partners: India – VIT Chenai Prof Nithya Venkatesan, IIT Madras Prof Abdus Samad Consultant: Emeritus Prof Clive Beggs, Leeds Beckett Researchers: QMUL PhD student: Yang Chen QMUL MEng team: Lidia Garcia, Muneeb Khawar, Ayman Mohammed, Maham Sandhu, Taylor Smith, Dena Rahman India research assistants: Rishav Raj, Mahesh Ravindra, Saket Kapse We develop a stand alone air disinfection device capable of inactivating the SARS-CoV-2 virus (Covid-19) and Mycobacterium tuberculosis (tuberculosis (TB)). The devise utilises a novel particle separation technology, which boosts the air disinfection capabilities of an ultraviolet-C (UV-C) light source, allowing much larger quantities of air to be purified than would normally be the case. If successful, the device will represent a step-change on current air disinfection technologies and should prove helpful in combating the transmission of airborne0 (aerosol) diseases such as Covid-19 and TB within buildings. Light in the UV-C region produces photons that are absorbed by nucleic acids (both DNA and RNA) to form dimers (fused base pairs) that impair replication of pathogenic viruses and bacteria [1], greatly reducing their ability cause infection. It has been shown that UV-C light can inactivate coronaviruses and thus there is good reason to believe that the SARS-CoV-2 virus will be susceptible to UV irradiation [2]. Similarly, it has been shown that TB can be inactivated using UV-C light [3]. Both TB and Covid-19 are infectious diseases that are transmitted via aerosolised respiratory droplets produced indoors. As such, UV-C air disinfection devices have great potential to inhibit the spread of these diseases in room spaces if used appropriately. However, such devices are limited by the small air flow rate that they can handle. This is because pathogenic microbes often require high UV irradiation doses, with the result that the air velocity through such devices needs to be very low, meaning that they can only disinfect small amounts of air. However, by utilising particle separation it is possible to greatly enhance the irradiation capabilities of the device, thus allowing much larger quantities of air to be disinfected. [1] Beggs CB (2002). A quantitative method for evaluating the photoreactivation of ultraviolet damaged microorganisms. Photochemical and Photobiological Sciences. 2002. 1: 431-437, [2] Beggs CB, Avital EJ (2020). Upper-room ultraviolet air disinfection might help to reduce COVID-19 transmission in buildings: a feasibility study. PeerJ 8:e10196, [3] Escombe AR, et al (2009). Upper-room ultraviolet light and negative air ionization to prevent tuberculosis transmission. PLoS Med 6 (3), e1000043,

Previous Funded Research Projects

Simulation of unsteady aerodynamic forces and theoretical modelling

Funding source: Royal Society
Start: 20-03-2019  /  End: 19-03-2021

Jet noise: characteristics of the instantaneous emission patterns

Funding source: Royal Society
Start: 16-03-2018  /  End: 30-11-2019

To develop a model which is consistent with jet noise far field measurements of both spectra measured at different angles and 2-point far field correlations of the sound pressure.

Non linear acoustics-structure interaction

Funding source: General Fusion
Start: 01-05-2015  /  End: 30-04-2018

High fidelity simulations of non-linear sound propagation in multiphase media of nuclear fusion reactor are pursued using QMUL CLithium and Y codes with support and collaboration of General Fusion.

Propeller aerodynamics and acoustics

Funding source: EPSRC
Start: 01-12-2016  /  End: 25-03-2017

Low fidelity modelling of coaxial propeller

ATI Propulsion Theme Support

Funding source: E.P.S.R.C.
Start: 01-12-2016  /  End: 25-03-2017

Mouthspace Computational Modelling

Funding source: Givaudan UK Ltd
Start: 04-12-2016  /  End: 15-03-2017

Modelling human airways

International Exchange Scheme: China 2013 NSFC. Aeroacoustics of jets and blades.

Funding source: The Royal Society
Start: 01-04-2014  /  End: 31-03-2016

Computational and experimental studies of blade and jet noise are pursued through collaborative research with Beihang.

DST-UKIERI Thematic Partnerships, Marine tidal energy supply to remote Indian islands

Funding source: The British Council
Start: 01-03-2015  /  End: 31-01-2016

Tidal turbines are investigated for suitability for remote islands, improved efficiency and control in collaboration with VIT and IIT Madars

Other Research Projects

Water flows and wakes, marine energy and sediment transport

A diverse programme focusing on challenging water flow problems of significant engineering interest has been developed. This includes: 1. Challenging water wakes studies of breaking waves, where a two-phase LES in-house code has been developed, achieving for the first time stable and accurate simulations for high Froude…

Numerical Algorithms Development (Fluids and Acoustics):

We have led the development of a few world leading algorthims, this includes: 1. Hydrodynamics: a. A new coupling of turbulent flow simulation (LES) with structural dynamics (DEM/FEM) though the immersed boundary method (Mujiza et al, 2012); this led to new wide Fluids-Structure Interaction capabilities ranging from…

Jet noise, jet/wing interaction, jet/fuselage interaction in cruise conditions, experimental validation of high-speed jet simulations

Huaihe River 111 project

Address the major challenge of managing immensely complex regulated river systems on very large scales. Specifically, the project focuses on managing channel networks for flood management, environmental objectives and water supply reliability. The Huaihe River Basin will be used as an example to assist in defining research areas and specific projects.

High-resolution schemes for computational fluid dynamics, hyperbolic conservation laws, Monotonically Integrated Large Eddy Simulations for turbulent flows

Computational aeroacoustics of high-speed jets

Bio fluids high performance simulation

Bio-fluids are of great computational challenge. They involve complex geometry, two phase flows and non-Newtonian fluid properties. Developing the ability to predict these flows accurately and investigate their behaviour promises a new way of understanding abnormal conditions and development of remedies by reducing the time…

Aerodynamics of Fusion reactor design

Fundamental and applied computational research is carried out to investigate and enhance the efficiency of magnetized target fusion reactor design. The research is carried out in collaboration with General Fusion.

Aerodynamics and acoustics prediction and control

There is a growing interest in applying active flow and noise control in various engineering applications. 1. Jet noise continues to be a topic affecting aviation. In this context we have recently made two types of progress. The first is in collaboration with Cranfield university where we published a procedure to optimize…