Differential effect of magnetic alignment on additive manufacturing of magnetocaloric particles
Abstract
Additive manufacturing of materials using magnetic particles as feedstock has attracted tremendous attention during the past decade owing to its ability to tune both shape and magnetocrystalline anisotropy, which can significantly enhance the magnetic characteristics of materials. We demonstrate that the magnetic response of multilayered thin films of Gd5Si4 can be tailored by controlling the external magnetic field during inkjet printing. The external magnetic field aligns the magnetic particles along their magnetic easy axis, enhancing the magnetic anisotropy of the printed films. Our work demonstrates the ability to print thin magnetic films with a defined anisotropy in any chosen direction with the potential to approaching magnetic properties of corresponding single crystalline materials.
- Authors:
-
- Virginia Commonwealth Univ., Richmond, VA (United States)
- Ames Lab., Ames, IA (United States)
- Ames Lab., Ames, IA (United States); Iowa State Univ., Ames, IA (United States)
- Virginia Commonwealth Univ., Richmond, VA (United States); Iowa State Univ., Ames, IA (United States)
- Publication Date:
- Research Org.:
- Ames Lab., Ames, IA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22). Materials Sciences & Engineering Division; National Science Foundation (NSF)
- OSTI Identifier:
- 1598310
- Alternate Identifier(s):
- OSTI ID: 1595177
- Report Number(s):
- IS-J-10149
Journal ID: ISSN 2158-3226; TRN: US2103745
- Grant/Contract Number:
- AC02-07CH11358; 1726617
- Resource Type:
- Accepted Manuscript
- Journal Name:
- AIP Advances
- Additional Journal Information:
- Journal Volume: 10; Journal Issue: 1; Conference: 64.Annual Conference on Magnetism and Magnetic Materials, Las Vegas, NV (United States), 4-8 Nov 2019; Journal ID: ISSN 2158-3226
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE
Citation Formats
Al-Milaji, Karam N., Gupta, Shalabh, Pecharsky, Vitalij K., Barua, Radhika, Zhao, Hong, and Hadimani, Ravi L. Differential effect of magnetic alignment on additive manufacturing of magnetocaloric particles. United States: N. p., 2020.
Web. doi:10.1063/1.5130028.
Al-Milaji, Karam N., Gupta, Shalabh, Pecharsky, Vitalij K., Barua, Radhika, Zhao, Hong, & Hadimani, Ravi L. Differential effect of magnetic alignment on additive manufacturing of magnetocaloric particles. United States. https://doi.org/10.1063/1.5130028
Al-Milaji, Karam N., Gupta, Shalabh, Pecharsky, Vitalij K., Barua, Radhika, Zhao, Hong, and Hadimani, Ravi L. Mon .
"Differential effect of magnetic alignment on additive manufacturing of magnetocaloric particles". United States. https://doi.org/10.1063/1.5130028. https://www.osti.gov/servlets/purl/1598310.
@article{osti_1598310,
title = {Differential effect of magnetic alignment on additive manufacturing of magnetocaloric particles},
author = {Al-Milaji, Karam N. and Gupta, Shalabh and Pecharsky, Vitalij K. and Barua, Radhika and Zhao, Hong and Hadimani, Ravi L.},
abstractNote = {Additive manufacturing of materials using magnetic particles as feedstock has attracted tremendous attention during the past decade owing to its ability to tune both shape and magnetocrystalline anisotropy, which can significantly enhance the magnetic characteristics of materials. We demonstrate that the magnetic response of multilayered thin films of Gd5Si4 can be tailored by controlling the external magnetic field during inkjet printing. The external magnetic field aligns the magnetic particles along their magnetic easy axis, enhancing the magnetic anisotropy of the printed films. Our work demonstrates the ability to print thin magnetic films with a defined anisotropy in any chosen direction with the potential to approaching magnetic properties of corresponding single crystalline materials.},
doi = {10.1063/1.5130028},
journal = {AIP Advances},
number = 1,
volume = 10,
place = {United States},
year = {Mon Jan 27 00:00:00 EST 2020},
month = {Mon Jan 27 00:00:00 EST 2020}
}
Web of Science
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