DrPeter Huthwaite
Reader in Mechanical Engineering
Department of Mechanical Engineering - Faculty of Engineering
Orcid identifier0000-0003-4433-4056 (opens in a new tab)
- Reader in Mechanical EngineeringDepartment of Mechanical Engineering - Faculty of Engineering
- 566, City and Guilds Building, South Kensington Campus, United Kingdom
RESEARCH
Peter Huthwaite's early work focused on quantitative imaging, reconstructing maps of sound speed from ultrasonic measurements. This was initially applied to breast ultrasound tomography for cancer detection, then subsequently developed for NDT applications. These included early stage damage detection by identifying local changes in elastic moduli and plate thickness estimation via guided wave tomography for oil pipeline inspection. Work on guided wave tomography has continued, with the development of physical understanding of industrial issues including pipe coatings and liquid loadings. This has now progressed, through the use of different modes, to high resolution maps able to reconstruct defects smaller than 3T x 3T (i.e. 3 times wall thickness in each dimension) - a critical value for the oil industry.
More recently, Dr Huthwaite has been developing ultrasound inversion techniques using his package Pogo (https://www.pogo.software) to match simulated signals to experimental signals in order to improve characterisation of defects. He has also led a joint £1M project with Bristol University on digital qualification of inspection methods - using simulation tools (like Pogo) to bypass the need for extensive expensive test pieces.
More recently, Dr Huthwaite has been developing ultrasound inversion techniques using his package Pogo (https://www.pogo.software) to match simulated signals to experimental signals in order to improve characterisation of defects. He has also led a joint £1M project with Bristol University on digital qualification of inspection methods - using simulation tools (like Pogo) to bypass the need for extensive expensive test pieces.
GRANTS
- GRANTEPSRC Impact Acceleration Account 2017-2020Engineering & Physical Science Research Council (E1 Apr 2017 - 31 Mar 2022