Ranjeetkumar Gupta
Data Collector
Tuneable magnetic nanocomposites for remote self-healing? [Dataset]
Contributors
Charles Footer
Data Collector
Gavin Stenning
Data Collector
Jawwad Darr
Data Collector
Dr Ketan Pancholi k.pancholi2@rgu.ac.uk
Data Collector
Abstract
The aim of this research is to develop a method to prepare a multiferroic-Polyamide 6 (PA6) nanocomposite with tuneable magnetocaloric properties for self-healing structure. It was shown that maintaining the low interaction radius through the dispersion of the low coercivity MNPs, could allow tuning of the bulk magnetocaloric properties of the resulting mesostructures. An in-situ polymerisation method improved dispersion and reduced maximum interaction radius value from ca. 806 to 371 nm as well as increased the magnetic response for silica coated SMNP composite. This sample displayed ca. three orders of magnitude enhancement for magnetic saturation compared to unfunctionalized Fe3O4 MNP composite.
Citation
GUPTA, R., FOOTER, C., STENNING, G., DARR, J. and PANCHOLI, K. [2022]. Tuneable magnetic nanocomposites for remote self-healing? [Dataset]. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1579700
Deposit Date | Jan 25, 2022 |
---|---|
Publicly Available Date | Jan 25, 2022 |
DOI | https://doi.org/10.48526/rgu-wt-1579700 |
Keywords | Magnetocaloric; Magnetic polymer nanocomposite; Superparamagnetic; Self-healing; In-situ polymerisation; PA6 |
Public URL | https://rgu-repository.worktribe.com/output/1579700 |
Type of Data | XLSX, OGWU files and supporting text file. |
Collection Date | Jan 21, 2022 |
Collection Method | The methods by which the data were collected include Differential Scanning Calorimetry, X-ray diffraction, Fourier Transformed Infrared spectroscopy, TEM, Small angle X-ray scattering, modelling, TEM, SQUID measurements. |
Files
GUPTA 2022 Tuneable magnetic (DATA)
(2.5 Mb)
Archive
You might also like
Tuneable magnetic nanocomposites for remote self-healing.
(2022)
Journal Article
Downloadable Citations
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search