Skip to main content Skip to navigation

Predictive Modelling of Composite Materials for Hydrogen Economy

Predictive Modelling of Composite Materials for Hydrogen Economy

Research Group Activity

Materials Science and Engineering

Project Description

Composite materials play an increasing a role in a net-zero world. They are particularly promising in applications involving hydrogen storage and transmission for future propulsion systems. Unfortunately, gaseous hydrogen environment can have adverse effects on the response of composite materials including mechanical damage and subsequent leakage of hydrogen.

This project aims to predict the effects of pressurised gaseous hydrogen environment on structural failure of composite materials across different material interfaces. Particularly, it will develop a computational model to predict interfacial failure between the so called liner and the composite material, and assess most crucial material parameters that affect that phenomenon. Ultimately, it will provide conclusions and guidelines for future design of composite materials for the use in harsh hydrogen environments.

Student Level

Open to both undergraduate and postgraduate students

Location

This project requires attendance at a lab or office on campus.

Skills you can learn from this project

Developing research background and skills that will suit future hydrogen economy including broad knowledge in field of advanced engineering materials for hydrogen transmission and storage. In particular, development of mathematical modelling and computer programming skills will be targeted using a continuum modelling approach and finite element method.

Additionally, some presentation skills and technical report writing skills will be developed by participating in research team meetings and summarising outcomes of this project within a short technical report.

Required Skills

Interest in materials science and engineering, in particular composite materials and their applications for hydrogen economy. Interest in mathematical modelling and computer programming will be a plus.

If you wish to apply for this project, fill in the form below including uploading your CV and personal statement, explaining why you want to do this particular internship project. Attachments must be in PDF format.

This form is closed and is no longer accepting any submissions. Thank you for your time.

Project Team

markelliott

Dr Lukasz Figiel