| EPSRC Reference: |
GR/J17463/01 |
| Title: |
ARTIFICIAL NEURAL NETWORKS FOR MONITORING OF RESISTANCE SPOT-WELDING OF ALUMINIUM |
| Principal Investigator: |
Osman, Professor K |
| Other Investigators: |
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| Project Partners: |
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| Department: |
Technology Innovation Centre |
| Organisation: |
Birmingham City University |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 April 1993 |
Ends: |
31 March 1995 |
Value (£): |
69,422
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| EPSRC Research Topic Classifications: |
| Manufacturing Machine & Plant |
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Summary on Grant Application Form |
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To train neural networks (ANNs) to model AC and MFDC resistance spot-welding and weld-bonding of aluminium. To use the trained ANNs to predict the diameter and strength of spot-welds from process data. To train ANNs to identify a range of common process disturbances. To compare ANN performance with statistical and other methods.
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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.bcu.ac.uk |