The aim of this Faraday Partnership project is to determine how remote sensing of accumulation solids in vessels can be improved by applying Industrial Process Tomography. This research involves tackling the inverse problem of reconstructing the properties of the accumulations from measurements at limited locations outside the vessel. It has particular application to BNFL in the remote sensing of accumulations that are gamma emitters.

Project staff and support

Brian Cattle (Postgraduate Faraday Associate, University of Leeds)
Daniel Lesnic (Academic Supervisor, University of Leeds)
Melvin Brown (Technology Translator, Smith Institute)

This project is being carried out at the University of Leeds, in conjunction with BNFL. It is supported by an EPSRC Industrial CASE award, made available through the Faraday Partnership for Industrial Mathematics. Start date: October 2002; duration: 3 years.