Predicting electrical conductivity in Cu/Nb composites: A combined model-experiment study

Blaschke, Daniel N.; Miller, Cody; Mier, Ryan Miguel; Osborn, Jr., Carolus Martinus; Thomas, Sean Michael; Tegtmeier, Eric Lee; Winter, William Paul; Carpenter, John S.; Hunter, Abigail

doi:10.1063/5.0096880

Title: Predicting electrical conductivity in Cu/Nb composites: A combined model-experiment study

Journal Article · 24 July 2022 · Journal of Applied Physics

DOI: https://doi.org/10.1063/5.0096880 · OSTI ID:1879387

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Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

The generation of high magnetic fields requires materials with high electric conductivity and good strength properties. Cu/Nb composites are considered to be good candidates for this purpose. In this work, we aim to predict, from theory, the dependence of electric conductivity on the microstructure, most notably on the layer thickness and grain sizes. We also conducted experiments to calibrate and validate our simulations. Bimetal interfaces and grain boundaries are confirmed to have the largest impact on conductivity in this composite material. In this approach, a distribution of the layer thickness is accounted for in order to better model the experimentally observed microstructure. Because layer thicknesses below the mean free path of Cu significantly degrade the conductivity, an average layer thickness larger than expected may be needed to meet conductivity requirements in order to minimize these smaller layers in the distribution. We also investigate the effect of variations in volume fraction of Nb and temperature on the material’s conductivity.

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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; USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 1879387

Report Number(s):: LA-UR-21-30714

Journal Information:: Journal of Applied Physics, Journal Name: Journal of Applied Physics Journal Issue: 4 Vol. 132; ISSN 0021-8979

Publisher:: American Institute of Physics (AIP)Copyright Statement

Country of Publication:: United States

Language:: English

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