Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162568
Title: Rapid multi-property assessment of compositionally modulated Fe-Co-Ni thin film material libraries
Authors: Padhy, Shakti P.
Tsakadze, Zviad
Chaudhary, Varun
Lim, Gerard Joseph
Tan, Xiao
Lew, Wen Siang
Ramanujan, Raju V.
Keywords: Engineering::Materials
Issue Date: 2022
Source: Padhy, S. P., Tsakadze, Z., Chaudhary, V., Lim, G. J., Tan, X., Lew, W. S. & Ramanujan, R. V. (2022). Rapid multi-property assessment of compositionally modulated Fe-Co-Ni thin film material libraries. Results in Materials, 14, 100283-. https://dx.doi.org/10.1016/j.rinma.2022.100283
Project: A1898b0043
Journal: Results in Materials
Abstract: Next-generation high frequency, high power density, and high operating temperature electrical machines require superior materials which possess an attractive combination of structural as well as functional properties. Development of such new materials by conventional methods is very slow, expensive, and restricted to a few compositions. Hence, we addressed this challenge by the accelerated assessment of multiple properties of a range of Fe-Co-Ni based material compositions. We utilized the magnetron co-sputtering method to prepare compositionally modulated ternary Fe-Co-Ni thin film alloy (TFA) libraries. The structural, electrical, magnetic, and mechanical properties of these libraries were assessed. The structure and properties were found to vary over a wide range with composition and thin film processing parameters. The Fe-Co-Ni TFA library prepared at a substrate temperature of 500 °C exhibited a good combination of multiple properties. The specific alloy composition Ni54.9Co33.1Fe12 was found to possess an attractive blend of properties. Thus, a rapid property assessment of TFA libraries of a wide range of compositions and processing conditions was successfully used to identify a novel specific composition and processing protocol which exhibited an attractive mix of properties.
URI: https://hdl.handle.net/10356/162568
ISSN: 2590-048X
DOI: 10.1016/j.rinma.2022.100283
Rights: © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles
SPMS Journal Articles

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