Dr Amin Paykani
PhD, FHEA, CEng, MIMechE

 

Research Funding

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Current Funded Research Projects

Data-Driven Surrogate Modelling for Liquid Ammonia Direct Injection Spray Characteristics

Funding source: Royal Society
Start: 31-03-2024  /  End: 28-02-2027
Amount: £225,000

In this project, we are proposing a direct research and partnership building between QMUL with Kyushu University with the aim of developing data-efficient ML models for the prediction of liquid ammonia DI spray characteristics to tackle the computational and experimental costs and time.

Hydrogen Heavy-duty Engine-out NOx Emissions Modelling and Prediction using a Deep Learning Framework

Funding source: Royal Society
Start: 31-03-2023  /  End: 30-03-2025
Amount: £6,000

In this project, a physics-based deep learning (DL) framework will be developed to predict and analyse trends in transient hydrogen engine-out NOx emissions using data from 0D- 1D engine simulations.

UKRI FLF Development Network Pathway programme

Funding source: UK Research and Innovation
Start: 01-04-2023  /  End: 31-12-2024

This is a tailored programme to support the professional development of future leaders fellows. The network delivers specialised leadership training, access to networks and mentors, and collaborative opportunities, so that members can pursue world-class interdisciplinary, cross-sector research and innovation.

Spray cooling of electric traction motors with hairpin windings: An experimental and CFD analysis

Funding source: Royal Society
Start: 01-07-2023  /  End: 30-06-2024
Amount: £58,087

The project aims to investigate the performance of advanced oil spray cooling of hairpin end-windings by developing a test bench that will shed light on the ongoing detailed computational fluid dynamics (CFD) simulations.

Previous Funded Research Projects

Optimal fuel blends for ammonia fuelled thermal propulsion systems

Funding source: EPSRC
Start: 01-02-2021  /  End: 30-09-2023

The aim of the project is to develop a computationally cost-effective numerical tool for Co-Optimisation of fuel blend and combustion system in a systematic way, and to examine how the conflicting requirements can be met by adding gaseous fuels to ammonia so that engine can be operated stably and reliably with improved thermal efficiency and minimal NOx emissions.