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Thermal Analysis of Materials
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Thermal Analysis of Materials

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Thermodynamics".

Deadline for manuscript submissions: closed (21 June 2022) | Viewed by 6755

Special Issue Editors

Prof. Dr. T. M. Indra Mahlia

grade E-Mail Website
Guest Editor
School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
Interests: sustainable energy; energy and fuels; renewable energy; techno-economic analysis and life-cycle cost analysis
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Rinaldi Idroes

E-Mail Website
Assistant Guest Editor
Graduate School of Mathematics and Applied Sciences, Universitas Syiah Kuala, Banda Aceh, Aceh, Indonesia
Interests: renewable and sustainable energy; geothermal energy; geochemical analytics; chemometrics; instrumental analytics; chromatography

Special Issue Information

Thermal analysis for material samples is based on the principle of the material's response to temperature. This method consists of several techniques, including differential thermal analysis (DTA), differential scanning calorimetry (DSC), dynamic mechanical analysis (DMA), thermogravimetric analysis (TGA), and others. These techniques are applied to identify various material properties such as the melting point, specific heat capacity, crystallization, polymorphism, composition, glass transition, and also purity. The scope of the samples analysed by this method is quite broad, including polymers, foods, and metals. The thermoplastic properties of the polymer raw material can be identified by DSC, while the polymer composition is analysed by TGA. In the food industry, thermal analyses such as DTA and DSC are used to study changes in food products, both physical and chemical, which are caused by temperature variation. Information on these changes is very important because it affects the main properties of the final food product, such as the taste, texture, and durability. An application of the thermal analysis method for metal materials is monitoring temperature to obtain a phase diagram. The diagram is identified to obtain information on the chemical composition and crystal structure.

Prof. Dr. T M Indra Mahlia
Prof. Dr. Rinaldi Idroes
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • temperature
  • polymer
  • material sample
  • material properties
  • thermal

Published Papers (3 papers)

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Research

16 pages, 8051 KiB  
Article
Otto Engine for the q-State Clock Model
by Michel Angelo Aguilera, Francisco José Peña, Oscar Andrés Negrete and Patricio Vargas
Entropy 2022, 24(2), 268; https://0-doi-org.brum.beds.ac.uk/10.3390/e24020268 - 13 Feb 2022
Viewed by 1895
Abstract
This present work explores the performance of a thermal–magnetic engine of Otto type, considering as a working substance an effective interacting spin model corresponding to the q− state clock model. We obtain all the thermodynamic quantities for the q = 2, 4, [...] Read more.
This present work explores the performance of a thermal–magnetic engine of Otto type, considering as a working substance an effective interacting spin model corresponding to the q− state clock model. We obtain all the thermodynamic quantities for the q = 2, 4, 6, and 8 cases in a small lattice size (3×3 with free boundary conditions) by using the exact partition function calculated from the energies of all the accessible microstates of the system. The extension to bigger lattices was performed using the mean-field approximation. Our results indicate that the total work extraction of the cycle is highest for the q=4 case, while the performance for the Ising model (q=2) is the lowest of all cases studied. These results are strongly linked with the phase diagram of the working substance and the location of the cycle in the different magnetic phases present, where we find that the transition from a ferromagnetic to a paramagnetic phase extracts more work than one of the Berezinskii–Kosterlitz–Thouless to paramagnetic type. Additionally, as the size of the lattice increases, the extraction work is lower than smaller lattices for all values of q presented in this study. Full article
(This article belongs to the Special Issue Thermal Analysis of Materials)
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13 pages, 2439 KiB  
Article
The Electrochemical Stability of Starch Carbon as an Important Property in the Construction of a Lithium-Ion Cell
by Beata Kurc, Marita Pigłowska and Łukasz Rymaniak
Entropy 2021, 23(7), 861; https://0-doi-org.brum.beds.ac.uk/10.3390/e23070861 - 05 Jul 2021
Cited by 1 | Viewed by 2210
Abstract
This paper shows use of starch-based carbon (CSC) and graphene as the anode electrode for lithium-ion cell. To describe electrochemical stability of the half-cell system and kinetic parameters of charging process in different temperatures, electrochemical impedance spectroscopy (EIS) measurement was adopted. It has [...] Read more.
This paper shows use of starch-based carbon (CSC) and graphene as the anode electrode for lithium-ion cell. To describe electrochemical stability of the half-cell system and kinetic parameters of charging process in different temperatures, electrochemical impedance spectroscopy (EIS) measurement was adopted. It has been shown that smaller resistances are observed for CSC. Additionally, Bode plots show high electrochemical stability at higher temperatures. The activation energy for the SEI (solid–electrolyte interface) layer, charge transfer, and electrolyte were in the ranges of 24.06–25.33, 68.18–118.55, and 13.84–15.22 kJ mol−1, respectively. Moreover, the activation energy of most processes is smaller for CSC, which means that this electrode could serve as an eco-friendly biodegradable lithium-ion cell element. Full article
(This article belongs to the Special Issue Thermal Analysis of Materials)
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22 pages, 3574 KiB  
Article
Analysis of the Properties of Fractional Heat Conduction in Porous Electrodes of Lithium-Ion Batteries
by Xin Lu, Hui Li and Ning Chen
Entropy 2021, 23(2), 195; https://0-doi-org.brum.beds.ac.uk/10.3390/e23020195 - 05 Feb 2021
Cited by 3 | Viewed by 1731
Abstract
Research on the heat transfer characteristics of lithium-ion batteries is of great significance to the thermal management system of electric vehicles. The electrodes of lithium-ion batteries are composed of porous materials, and thus the heat conduction of the battery is not a standard [...] Read more.
Research on the heat transfer characteristics of lithium-ion batteries is of great significance to the thermal management system of electric vehicles. The electrodes of lithium-ion batteries are composed of porous materials, and thus the heat conduction of the battery is not a standard form of diffusion. The traditional heat conduction model is not suitable for lithium-ion batteries. In this paper, a fractional heat conduction model is used to study the heat transfer properties of lithium-ion batteries. Firstly, the heat conduction model of the battery is established based on the fractional calculus theory. Then, the temperature characteristic test was carried out to collect the temperature of the battery in various operating environments. Finally, the temperature calculated by the fractional heat conduction model was compared with the measured temperature. The results show that the accuracy of fractional heat conduction model is higher than that of traditional heat conduction model. The fractional heat conduction model can well simulate the transient temperature field of the battery. The fractional heat conduction model can be used to monitor the temperature of the battery, so as to ensure the safety and stability of the battery performance. Full article
(This article belongs to the Special Issue Thermal Analysis of Materials)
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