As an undergraduate this University and the School of Mechanical, Aerospace and Civil Engineering gave me the education and opportunities I needed to allow me to achieve my potential and establish the skills required for a wide range of careers.
I graduated from this university with an undergraduate MEng degree in Aerospace Engineering with Management in 2011. My degree included a year-long work placement with Rolls-Royce in Derby where I worked on systems modeling within the Controls business. On completion of my degree, I passed on the offer of a graduate position with Rolls-Royce to train as a researcher through completion of a PhD.
As a Research Impact Scholarship award holder my study is supported by the Friends and Donors of the University of Manchester. So far my work has produced an award-winning research paper at the 2012 Internoise conference held in New York City with additional material under review for publication.
As a Student Ambassador and Recruitment Officer for the school I am able to share my experiences of university with prospective undergraduates. I aim to convey my enthusiasm for the problem-solving, team-working and analytical aspects of the subject which easily make any sort of engineering fascinating to study.
The most attractive aspect of Manchester in my opinion is environmental diversity: You can enjoy both the pulsing environment of a vibrant city one day and relax with a barbeque in a leafy park the next all within a couple of miles. In Manchester there is always something to do that you will enjoy.
Project title:Numerical Construction of Acoustic Green's Functions
Abstract: Noise is a form of pollution and something that is becoming a growing concern, particularly among the residents of the world’s cities. With every new engineering project or machine, there comes a new source of noise to add to the existing cacophony surrounding many of us in our daily lives.
Engineering firms currently assess the noise impact of new products through the prediction of acoustic radiation from sources such as car tyres in contact with the road or the engines of an aircraft. However, their current tools are quite limited with accurate predictions being limited to analysis on simple environments or coming from numerical simulations which take a matter of days to run on high-powered computers. Hybrid numerical schemes exist as a happy medium but are still limited to application in geometries where scattering of the acoustic radiation is either absent or simplistic.
This research project is developing a means incorporating more complex scattering of sound in acoustic calculations by numerically constructing a mathematical function to represent it. This function is mathematically known as a Green’s function. The use of numerically computed Green’s functions will improve the versatility of current acoustic prediction tools allowing fast and accurate prediction of acoustic radiation in a range of complicated environments. A less restrictive prediction tool capable of both speed and accuracy will allows us to be more proactive in our approach to noise control in the engineering designs of the future.