Issue |
MATEC Web Conf.
Volume 225, 2018
UTP-UMP-VIT Symposium on Energy Systems 2018 (SES 2018)
|
|
---|---|---|
Article Number | 03005 | |
Number of page(s) | 7 | |
Section | Energy Management and Conservation | |
DOI | https://doi.org/10.1051/matecconf/201822503005 | |
Published online | 05 November 2018 |
Carbon-13 Characterization and Modelling for Temperature Measurement-Based Proton Frequency
Department of mechanical engineering, Universiti Teknologi PETRONAS, Malaysia
* Corresponding author: monis_g03669@utp.edu.my
† Corresponding author: dher.albarody@utp.edu.my
The physical substance at high energy level with specific circumstances; tend to behave harsh and complicated, meanwhile, sustaining equilibrium or non-equilibrium thermodynamic of the system. Measurement of the temperature by ordinary techniques in these cases is not applicable at all. Likewise, there is a need to apply mathematical models in numerous critical applications to measure the temperature accurately at an atomic level of the matter. Those mathematical models follow statistical rules with different distribution approaches of quantities energy of the system. However, these approaches have functional effects at microscopic and macroscopic levels of that system. Therefore, this research study represents an innovative of a wireless temperature sensor, which utilizes proton resonance frequency of carbon-13 isotope material. In addition to that, this study also addresses the energy distribution of the particles by selecting an updated appropriate approach that has interesting points of limitation in the number of degree of freedom: (1) thermodynamically limits and (2) theoretical statistical thermodynamics observations. Lastly, the main idea of this paper is to visualize the analysis of temperate in the nanoscale system via statistical thermodynamics approach along with the material characterization of carbon-13 isotope.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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