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Details of Grant 

EPSRC Reference: EP/M020207/1
Title: Quantitative non-destructive imaging with limited data
Principal Investigator: Huthwaite, Dr P
Other Investigators:
Researcher Co-Investigators:
Project Partners:
BAM BP (International) Manufacturing Technology Centre
RCNDE Rolls-Royce Plc Tenaris (International)
University of Manchester, The
Department: Dept of Mechanical Engineering
Organisation: Imperial College London
Scheme: EPSRC Fellowship
Starts: 01 June 2015 Ends: 31 May 2020 Value (£): 977,312
EPSRC Research Topic Classifications:
Materials testing & eng.
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:
Panel DatePanel NameOutcome
23 Feb 2015 Eng Fellowship Interviews Feb 2015 Announced
03 Dec 2014 Engineering Prioritisation Panel Meeting 3rd December 2014 Announced
Summary on Grant Application Form
If imaging required less data, it would enable faster throughput, improved performance in restricted access situations and simpler, cheaper hardware. The information from images enables damage to be accurately quantified within engineering components, avoiding the need to choose between excessive conservatism and unpredicted failures. To enable improved reconstructions from limited data sets, a diverse set of approaches have been identified, incorporating knowledge of physical wave interaction with objects, use of external information, image processing and other techniques. The fellowship will address the broad problem by applying these approaches to several example applications which are of great interest to industry, and will ultimately enable the development of the field of limited data imaging. While primarily focused on NDE (non-destructive evaluation), the applications of this spread to areas including medicine, geophysics and security.
Key Findings
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Summary
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Organisation Website: http://www.imperial.ac.uk