Probabilistic neural network identification of an alloy for direct laser deposition
A neural network tool was used to discover a new nickel-base alloy for direct laser deposition most likely to satisfy targets of processability, cost, density, phase stability, creep resistance, oxidation, fatigue life, and resistance to thermal stresses. The neural network tool can learn property-p...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-04-01
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| Series: | Materials & Design |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127519300814 |
| _version_ | 1818562203701215232 |
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| author | B.D. Conduit T. Illston S. Baker D. Vadegadde Duggappa S. Harding H.J. Stone G.J. Conduit |
| author_facet | B.D. Conduit T. Illston S. Baker D. Vadegadde Duggappa S. Harding H.J. Stone G.J. Conduit |
| author_sort | B.D. Conduit |
| collection | DOAJ |
| description | A neural network tool was used to discover a new nickel-base alloy for direct laser deposition most likely to satisfy targets of processability, cost, density, phase stability, creep resistance, oxidation, fatigue life, and resistance to thermal stresses. The neural network tool can learn property-property relationships, which allows it to use a large database of thermal resistance measurements to guide the extrapolation of just ten data entries of alloy processability. The tool was used to propose a new alloy, and experimental testing confirms that the physical properties of the proposed alloy are better tailored to the target application than other available commercial alloys. Keywords: Nickel, Direct laser deposition, Alloy, Neural network |
| first_indexed | 2024-12-14T01:00:37Z |
| format | Article |
| id | doaj.art-ed8638293a124c11b43ba00e48cbdd06 |
| institution | Directory Open Access Journal |
| issn | 0264-1275 |
| language | English |
| last_indexed | 2024-12-14T01:00:37Z |
| publishDate | 2019-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Materials & Design |
| spelling | doaj.art-ed8638293a124c11b43ba00e48cbdd062022-12-21T23:23:18ZengElsevierMaterials & Design0264-12752019-04-01168Probabilistic neural network identification of an alloy for direct laser depositionB.D. Conduit0T. Illston1S. Baker2D. Vadegadde Duggappa3S. Harding4H.J. Stone5G.J. Conduit6Rolls-Royce plc, Derby, PO Box 31DE24 8BJ, United KingdomMaterials Solutions, Worcester, WR4 9GN, United KingdomMaterials Solutions, Worcester, WR4 9GN, United KingdomRolls-Royce India Private Limited, Manyata Tech Park, Bangalore 560024, IndiaRolls-Royce plc, Bristol, PO Box 3, BS34 7QE, United KingdomDepartment of Materials Science & Metallurgy, University of Cambridge, 27 Charles Babbage Road, Cambridge CB3 0FS, United KingdomCavendish Laboratory, University of Cambridge, J.J. Thomson Avenue, Cambridge CB3 0HE, United Kingdom; Corresponding author.A neural network tool was used to discover a new nickel-base alloy for direct laser deposition most likely to satisfy targets of processability, cost, density, phase stability, creep resistance, oxidation, fatigue life, and resistance to thermal stresses. The neural network tool can learn property-property relationships, which allows it to use a large database of thermal resistance measurements to guide the extrapolation of just ten data entries of alloy processability. The tool was used to propose a new alloy, and experimental testing confirms that the physical properties of the proposed alloy are better tailored to the target application than other available commercial alloys. Keywords: Nickel, Direct laser deposition, Alloy, Neural networkhttp://www.sciencedirect.com/science/article/pii/S0264127519300814 |
| spellingShingle | B.D. Conduit T. Illston S. Baker D. Vadegadde Duggappa S. Harding H.J. Stone G.J. Conduit Probabilistic neural network identification of an alloy for direct laser deposition Materials & Design |
| title | Probabilistic neural network identification of an alloy for direct laser deposition |
| title_full | Probabilistic neural network identification of an alloy for direct laser deposition |
| title_fullStr | Probabilistic neural network identification of an alloy for direct laser deposition |
| title_full_unstemmed | Probabilistic neural network identification of an alloy for direct laser deposition |
| title_short | Probabilistic neural network identification of an alloy for direct laser deposition |
| title_sort | probabilistic neural network identification of an alloy for direct laser deposition |
| url | http://www.sciencedirect.com/science/article/pii/S0264127519300814 |
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