Journal article
Al2O3 “self-coated” iron powder composites via mechanical milling
Journal of alloys and compounds, v 653
25 Dec 2015
Abstract
Electrically insulated ferrous powders permit isotropic magnetic flux, lower core losses, and structural freedom for state-of-the-art electromagnetic (EM) core and device designs. Many current coating materials are limited by low melting temperatures, which leads to insufficient insulation of powders, resulting in metal-on-metal contact. Use of a high-temperature coating material, such as alumina, could alleviate these issues. In this work, iron powder was mechanically milled with alumina media, to yield plastically deformed, alumina-coated iron particles with improved magnetic saturation, elastic modulus, and hardness. Various milling times and media ball sizes are investigated to maintain particle size, insulate powders uniformly, and optimize properties after compaction and curing. We found that longer milling times yielded more dense powder coatings and lower magnetic saturation.
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•Soft magnetic composite materials comprised of alumina coated iron powders were produced via high-energy ball milling.•“Self-coating” occurs directly from milling media, no additional powder necessary.•Low ball-to-powder ratios permit minimal particle size reduction while continuing to deform powders.•We report improved magnetic saturation for higher curing temperatures of insulated powder compacts.
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Details
- Title
- Al2O3 “self-coated” iron powder composites via mechanical milling
- Creators
- Katie Jo Sunday - Drexel UniversityKristopher A. Darling - DEVCOM Army Research LaboratoryFrancis G. Hanejko - Hoeganaes Corporation, Cinnaminson, NJ 08077, United StatesBabak Anasori - Drexel UniversityYan-Chun Liu - Drexel UniversityMitra L. Taheri - Drexel University
- Publication Details
- Journal of alloys and compounds, v 653
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000363270000009
- Scopus ID
- 2-s2.0-84941552708
- Other Identifier
- 991019335241004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Chemistry, Physical
- Materials Science, Multidisciplinary
- Metallurgy & Metallurgical Engineering