Simulation and experimental research on model parameter in a magnetic nanoparticle thermometer

DOI

10.2991/jimec-18.2018.67How to use a DOI?

Keywords

Magnetic nanoparticles, Parameter optimization, Temperature measurement, Langevin’s equation

Abstract

Magnetic nano-temperature measurement is a new type of non-contact temperature measurement method, which is expected to overcome the technical bottleneck of the current internal temperature of the tumor in the tumor hyperthermia. In view of the current low measurement accuracy of magnetic nanometer temperature measurement, this paper studies the system and model parameters, and uses the low frequency triangular wave as the excitation magnetic field to analyze the influence of model and system parameters (particle size and excitation magnetic field strength) on temperature measurement accuracy. And optimize and improve the related system and model parameters. The results show that as the effective particle size of the magnetic nanoparticles increases, the average effective magnetic moment of the sample increases, and the magnetic nanometer temperature measurement accuracy increases. For the smaller diameter magnetic nanoparticles, as the applied excitation magnetic field increases, the accuracy gradually increases. After selecting a certain magnetic nanoparticles, the optimal excitation magnetic field size can be found to maximize the temperature measurement accuracy. The magnetic nanometer temperature measurement method achieves higher temperature measurement accuracy, enabling it to be applied to higher temperature measurement accuracy requirements.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Guoliang Zhang
AU  - Le He
PY  - 2018/12
DA  - 2018/12
TI  - Simulation and experimental research on model parameter in a magnetic nanoparticle thermometer
BT  - Proceedings of the 2018 3rd Joint International Information Technology，Mechanical and Electronic Engineering Conference (JIMEC 2018)
PB  - Atlantis Press
SP  - 315
EP  - 319
SN  - 2589-4943
UR  - https://doi.org/10.2991/jimec-18.2018.67
DO  - 10.2991/jimec-18.2018.67
ID  - Zhang2018/12
ER  -