| EPSRC Reference: |
GR/J19887/01 |
| Title: |
ARTIFICIAL NEURAL NETWORKS FOR QUALITY CLASSIFICATION OF ADHERED JOINTS |
| Principal Investigator: |
Challis, Professor RE |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Physics |
| Organisation: |
Keele University |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
25 January 1993 |
Ends: |
24 October 1996 |
Value (£): |
127,736
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| EPSRC Research Topic Classifications: |
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| EPSRC Industrial Sector Classifications: |
| Aerospace, Defence and Marine |
Transport Systems and Vehicles |
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| Related Grants: |
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| Panel History: |
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Summary on Grant Application Form |
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1) To investigate the use of artificial neural networks in the classification of quality assurance (QA) data obtained from ultrasonic tests on metal-adhesive-metal joints.2) To deliver algorithms for detection of front or back disbonds, cure state, bond thickness, and some aspects of bond line geometry.3) To use neural network methods to gain a better understanding of the physical bases of bond QA by ultrasound.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.keele.ac.uk |