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Role of interface in optimisation of polyamide-6/Fe3O4 nanocomposite properties suitable for induction heating. [Dataset]

Contributors

Ranjeetkumar Gupta
Data Collector

Pinakin V. Pancholi
Data Collector

Xiangyan Yu
Data Collector

Lakhan Gupta
Data Collector

Gavin B.G. Stenning
Data Collector

David Bucknall
Data Collector

David Flynn
Data Collector

Abstract

Induction heating of magnetic nanoparticles (MNPs) and localised melting of the surrounding high temperature engineering polymer matrix by generating microscopic or macroscopic eddy currents during magnetisation of a polymer nanocomposite (PMC) is crucial for realising induction heating-aided structural bonding. However, the polymer heating should be homogeneous and efficient to avoid local pyrolysis of the polymer matrix, which results in degraded mechanical properties, or requiring a large coil for generating a high frequency magnetic field. Increasing the interfacial area by homogeneously dispersing the MNPs in the polymer matrix provides many microscopic eddy currents to dissipate the power through magnetisation and polarisation, leading to micro eddy current induced uniform heating of the PMC. The accompanying file contains methodology, characterisation and extensive data.

Citation

GUPTA, R., PANCHOLI, P.V., YU, X., GUPTA, L., STENNING, G.B.G., BUCKNALL, D., FLYNN, D. and PANCHOLI, K. 2023. Role of interface in optimisation of polyamide-6/Fe3O4 nanocomposite properties suitable for induction heating. [Dataset]. Nano-structures and nano-objects [online], 34, article number 100973. Available from: https://tinyurl.com/47tkuzks

Acceptance Date Apr 4, 2023
Online Publication Date Apr 22, 2023
Publication Date Apr 30, 2023
Deposit Date Apr 24, 2023
Publicly Available Date Apr 24, 2023
Publisher Elsevier
DOI https://doi.org/10.1016/j.nanoso.2023.100973
Keywords Nanocomposites; Thermoplastics; Polymerisation in-situ; Stöber method; Crystallinity
Public URL https://rgu-repository.worktribe.com/output/1947107
Related Public URLs https://rgu-repository.worktribe.com/output/1946953 (Journal article)
Type of Data DOCX file
Collection Date Aug 9, 2022
Collection Method The nanocomposite samples were characterized using Perkin-Elmer ATR-FTIR (Attenuated Total Reflection- Fourier Transmission Infrared Spectroscope) Spectrum Gx system, DSC, XRD, TEM and SAXS/WAXS. Windowless beam path was used completely under vacuum from beam delivery systems to detector sensors. The SAXS graphs were attained over range of 0.008 Å-1< q < 0.18 Å-1 for scattering vector length and range of 0.18 Å-1< q < 0.24 Å-1 for WAXS patterns. Azimuthal binning and averaging of corresponding two-dimensional scattering pattern were used for attaining one-dimensional (1D) fitting of the scattering curve supplied XSACT (X-Ray Scattering Analysis and Calculation Tools) with the instruments. The TEM images of the PMC samples were processed (details in Supplementary Data Section S2) and used for the size inputs for the simulated 3D model using MATLAB® platform and used as the input to the designed MATLAB® code with percentage weight of the NPs loading, to generate the random NP/agglomerates in the simulated nanocomposite 3D model. The code generated the simulated PMC model with the appropriate nanoparticles content and diameter sizes passed as the inputs. The black coloured spheres in the simulated model represent Fe3O4 nanoparticles/agglomerates and their interaction region is represented by the grey region around them.

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