Predicting electrical conductivity in bi-metal composites
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910655687163904 |
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| author | Blaschke, Daniel N. Carpenter, John S. Hunter, Abigail |
| author_facet | Blaschke, Daniel N. Carpenter, John S. Hunter, Abigail |
| contents | Generating high magnetic fields requires materials with not only high electric conductivity, but also good strength properties in order to withstand the necessarily strong Lorentz forces. A number of bi-metal composites, most notably Cu/Nb, are considered to be good candidates for this purpose. Here, we generalize our previous work on Cu/Nb in order to predict, from theory, the dependence of electric conductivity on the microstructure and volume fraction of the less conductive component for a number of other bi-metal composites. Together with information on strength properties (taken from previous literature), the conductivity information we provide in this work can help to identify new promising candidate materials (such as Cu/Nb, Cu/Ag, Cu/W, ...) for magnet applications with the highest achievable field strengths. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_04655 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Predicting electrical conductivity in bi-metal composites Blaschke, Daniel N. Carpenter, John S. Hunter, Abigail Materials Science Generating high magnetic fields requires materials with not only high electric conductivity, but also good strength properties in order to withstand the necessarily strong Lorentz forces. A number of bi-metal composites, most notably Cu/Nb, are considered to be good candidates for this purpose. Here, we generalize our previous work on Cu/Nb in order to predict, from theory, the dependence of electric conductivity on the microstructure and volume fraction of the less conductive component for a number of other bi-metal composites. Together with information on strength properties (taken from previous literature), the conductivity information we provide in this work can help to identify new promising candidate materials (such as Cu/Nb, Cu/Ag, Cu/W, ...) for magnet applications with the highest achievable field strengths. |
| title | Predicting electrical conductivity in bi-metal composites |
| topic | Materials Science |
| url | https://arxiv.org/abs/2409.04655 |