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Ultrasonic Array Inspection Optimisation for Non-Destructive Evaluation

Reference Number
EP/J016438/1
Title
Ultrasonic Array Inspection Optimisation for Non-Destructive Evaluation
Status
Completed
Energy Categories
Nuclear Fission and Fusion(Nuclear Fission, Nuclear supporting technologies)
Fossil Fuels: Oil Gas and Coal(Oil and Gas, Other oil and gas)
Not Energy Related
Other Power and Storage Technologies(Electric power conversion)
Research Types
Basic and strategic applied research
Science and Technology Fields
ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Dr B Drinkwater
Mechanical Engineering
University of Bristol
Award Type
Standard
Funding Source
EPSRC
Start Date
22 April 2013
End Date
31 October 2016
Duration
42 months
Total Grant Value
£307,559
Industrial Sectors
Mechanical engineering
Region
South West
Programme
NC : Engineering
Investigators
Principal Investigator
Dr B Drinkwater, Mechanical Engineering, University of Bristol
Other Investigator
Dr AJ Croxford, Mechanical Engineering, University of Bristol
Dr P Wilcox, Mechanical Engineering, University of Bristol
Industrial Collaborator
Project Contact, BAE Systems Submarine Solutions
Project Contact, Sellafield Ltd
Project Contact, Rolls Royce Naval Marine
Project Contact, EDF Energy
Project Contact, University of Eastern Finland
Project Contact, Serco Group plc
Web Site
Objectives
Abstract
Ultrasonic arrays have seen a dramatic increase in industrial up-take over recent years to the point where it seems possible that NDE array inspections will completely replace the present industry-standard single point measurements over the course of the next decade. The current NDE array approach is based heavily on a combination of rapid beamforming equipment, developed originally for medical ultrasound, and inspection strategies that follow approaches developed originally for single element probes. Whilst using an array in this way undoubtedly delivers good imaging in some circumstances, it is far from obvious how close to optimal it is. This project addresses the fundamental questions at the heart of NDE: how first to quantify and then optimise the performance of an inspection. The selection of parameters to quantify performance is critical and depends on the purpose of the inspection (e.g. defect detection or sizing) and will be informed by input from the industrial partners. A modelling framework will be developed that allows array inspections to be designed to optimise the chosen parameter (e.g. probability of detection, sizing accuracy). This optimisation framework will be based on rapid forward models, a sound understanding of the factors that most strongly influence the choice of array inspection configuration and a rigorous statistical methodology. This latter aspect is particularly important as some level of uncertainty is inherent in all NDE inspection: this can range from unknown defect orientation through to unknown velocity distributions. This modelling framework will not only allow for inspections of complex parts to be optimised, but the exploration of the relevant parameter space will inform current best practice and help in tasks such as choice of secondary inspection. Together these developments will produce a step change in the performance of arrays leading to improved inspection reliability, safer structures and ultimately reduced design conservatism.The project is part of the UK Research Centre in NDE (RCNDE), the funding for which is earmarked by EPSRC for industrially driven research. The project is also supported financially by Rolls-Royce, Sellafield, BAE Systems, SERCO and EDF
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Added to Database
26/09/13