3D-Printed Permanent Magnets Outperform Conventional Versions, Conserve Rare Materials
Abstract
Researchers at the Department of Energy’s Oak Ridge National Laboratory have demonstrated that permanent magnets produced by additive manufacturing can outperform bonded magnets made using traditional techniques while conserving critical materials. The project is part of DOE’s Critical Materials Institute (CMI), which seeks ways to eliminate and reduce reliance on rare earth metals and other materials critical to the success of clean energy technologies.
- Authors:
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1332729
- Resource Type:
- Multimedia
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; CLEAN ENERGY TECHNOLOGY; ADDITIVE MANUFACTURING; PERMANENT MAGNETS; BONDED MAGNETS
Citation Formats
Paranthaman, Parans. 3D-Printed Permanent Magnets Outperform Conventional Versions, Conserve Rare Materials. United States: N. p., 2016.
Web.
Paranthaman, Parans. 3D-Printed Permanent Magnets Outperform Conventional Versions, Conserve Rare Materials. United States.
Paranthaman, Parans. Tue .
"3D-Printed Permanent Magnets Outperform Conventional Versions, Conserve Rare Materials". United States. https://www.osti.gov/servlets/purl/1332729.
@article{osti_1332729,
title = {3D-Printed Permanent Magnets Outperform Conventional Versions, Conserve Rare Materials},
author = {Paranthaman, Parans},
abstractNote = {Researchers at the Department of Energy’s Oak Ridge National Laboratory have demonstrated that permanent magnets produced by additive manufacturing can outperform bonded magnets made using traditional techniques while conserving critical materials. The project is part of DOE’s Critical Materials Institute (CMI), which seeks ways to eliminate and reduce reliance on rare earth metals and other materials critical to the success of clean energy technologies.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Nov 01 00:00:00 EDT 2016},
month = {Tue Nov 01 00:00:00 EDT 2016}
}