EngD student, 2015 intake

Research:  Automation of image based detection

University: Imperial College London

Sponsoring company: Rolls Royce

Background: Undergraduate Masters in Mechanical Engineering from the University of Sheffield graduating in July 2014. During my final year project  I worked with an EngD student and used ultrasonic testing of failed water pipe joints to seek to identify any failure trends. After graduating I worked for a year as a Process Engineer for Clyde Bergemann Material Handling before starting my own EngD in October 2015.

Many NDE methods produce image based results which require inspector analysis to determine whether there are cracks present in the piece. The probability of crack detection is therefore largely influenced by how thoroughly the inspector analyses the results. This project aims to automate the analysis of image based results. There are two main parts to the project, the first being the development of a technique to obtain images which permit the analysis of the entire surface of the part. For complex geometries this is unlikely to be a trivial problem! The second part will be to develop the computer software to detect the presence of cracks in images that are often noisy