Magnetic nanoparticles for radar wave attenuation : silica coated cobalt-iron nanoparticles
Radar Absorbing Materials (RAM) has gain strong interest in recent years as armed forces are moving into the stealth era. RAM coatings are very effective means of reducing Radar Cross Section (RCS) by converting incident radar waves into other forms of energy. However RAM cannot absorb radar waves o...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/62356 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-62356 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-623562023-03-04T15:36:31Z Magnetic nanoparticles for radar wave attenuation : silica coated cobalt-iron nanoparticles Tay, Richard Jian Pei Jason Xu Zhichuan School of Materials Science and Engineering DRNTU::Engineering::Materials Radar Absorbing Materials (RAM) has gain strong interest in recent years as armed forces are moving into the stealth era. RAM coatings are very effective means of reducing Radar Cross Section (RCS) by converting incident radar waves into other forms of energy. However RAM cannot absorb radar waves of all frequencies, specific composition absorbs certain frequencies more effectively than others; no single RAM composition thus far is able to absorb all radar frequency. Silica coated Cobalt-Iron alloy nanoparticles with varying ratio compositions (CoxFe3-x@SiO2) were designed for high performance radar wave attenuation. Cobalt and Iron are ferromagnetic materials with similar magnetic saturation strength, thus an alloy combination provides a promising avenue for RAM development. Bachelor of Engineering (Materials Engineering) 2015-03-23T09:12:54Z 2015-03-23T09:12:54Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/62356 en Nanyang Technological University 40 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Materials |
spellingShingle |
DRNTU::Engineering::Materials Tay, Richard Jian Pei Magnetic nanoparticles for radar wave attenuation : silica coated cobalt-iron nanoparticles |
description |
Radar Absorbing Materials (RAM) has gain strong interest in recent years as armed forces are moving into the stealth era. RAM coatings are very effective means of reducing Radar Cross Section (RCS) by converting incident radar waves into other forms of energy. However RAM cannot absorb radar waves of all frequencies, specific composition absorbs certain frequencies more effectively than others; no single RAM composition thus far is able to absorb all radar frequency. Silica coated Cobalt-Iron alloy nanoparticles with varying ratio compositions (CoxFe3-x@SiO2) were designed for high performance radar wave attenuation. Cobalt and Iron are ferromagnetic materials with similar magnetic saturation strength, thus an alloy combination provides a promising avenue for RAM development. |
author2 |
Jason Xu Zhichuan |
author_facet |
Jason Xu Zhichuan Tay, Richard Jian Pei |
format |
Final Year Project |
author |
Tay, Richard Jian Pei |
author_sort |
Tay, Richard Jian Pei |
title |
Magnetic nanoparticles for radar wave attenuation : silica coated cobalt-iron nanoparticles |
title_short |
Magnetic nanoparticles for radar wave attenuation : silica coated cobalt-iron nanoparticles |
title_full |
Magnetic nanoparticles for radar wave attenuation : silica coated cobalt-iron nanoparticles |
title_fullStr |
Magnetic nanoparticles for radar wave attenuation : silica coated cobalt-iron nanoparticles |
title_full_unstemmed |
Magnetic nanoparticles for radar wave attenuation : silica coated cobalt-iron nanoparticles |
title_sort |
magnetic nanoparticles for radar wave attenuation : silica coated cobalt-iron nanoparticles |
publishDate |
2015 |
url |
http://hdl.handle.net/10356/62356 |
_version_ |
1759853543854964736 |