| EPSRC Reference: |
GR/K23263/01 |
| Title: |
QUANTITATIVE ALLOY DESIGN TOOLS FOR NI-BASE SUPERALLOYS |
| Principal Investigator: |
Bhadeshia, Professor H |
| Other Investigators: |
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| Project Partners: |
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| Department: |
Materials Science & Metallurgy |
| Organisation: |
University of Cambridge |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
30 March 1995 |
Ends: |
29 August 1998 |
Value (£): |
145,351
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| EPSRC Research Topic Classifications: |
| Eng. Dynamics & Tribology |
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| EPSRC Industrial Sector Classifications: |
| Aerospace, Defence and Marine |
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Summary on Grant Application Form |
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The main objectives of the project are to develop quantitative models for strength and fatigue life in Ni-base superalloys. Such models are intended for use in alloy design, to replace the initial stages of the current process, which involve making up and testing numerous different alloy compositions. Two approaches to strength modelling will be taken, a fundamental one based on firm physical principles, i.e. theory of strengthening mechanisms, and an essentially blind one, based on the use of artificial neural networks. The physical model will then be used to check that the neural network is generating appropriate relationships between inputs such as chemical composition and microstructural parameters. For the fatigue modelling the focus will be on fatigue crack growth behaviour. Because our understanding of crack growth is less well developed than that of strength, the physical model will not be quantitatively predictive, but will be used for testing concepts and identification of the appropriate inputs for the neural network. Most of the data required for the modelling can be obtained from existing sources such as manufacturers' data sheets, PhD theses and the vast NI-base alloys literature, a limited experimental programme is required to fill gaps in the data and to test the models. If time allows other relevant properties such as stress rupture will be included in the neural network modelling. An important final objective will be to assemble the modelling tools in a friendly form for use in the alloy design process.
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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.cam.ac.uk |