Predicting Electrical Conductivity in Bi-Metal Composites

Blaschke, Daniel N.; Carpenter, John S.; Hunter, Abigail

doi:10.3390/ma17205049

Title: Predicting Electrical Conductivity in Bi-Metal Composites

Journal Article · 16 October 2024 · Materials

DOI: https://doi.org/10.3390/ma17205049 · OSTI ID:2476046

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Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

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.

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Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 2476046

Report Number(s):: LA-UR--22-29552

Journal Information:: Materials, Journal Name: Materials Journal Issue: 20 Vol. 17; ISSN 1996-1944

Publisher:: MDPICopyright Statement

Country of Publication:: United States

Language:: English

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