All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Determination of phase change temperature of materials from adiabatic scanning calorimetry data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F23%3A00364743" target="_blank" >RIV/68407700:21110/23:00364743 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/s10973-022-11335-2" target="_blank" >https://doi.org/10.1007/s10973-022-11335-2</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10973-022-11335-2" target="_blank" >10.1007/s10973-022-11335-2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Determination of phase change temperature of materials from adiabatic scanning calorimetry data

  • Original language description

    Melting and other first-order phase changes usually occur in phase change materials (PCMs) within a noticeable temperature range rather than at a unique phase change temperature (Tpc). Then the enthalpy and heat capacity have rather wide jumps and peaks, respectively, spread over such ranges of temperatures. Surprisingly, wide jumps and peaks are observed even in plain and simple cases when PCMs are pure substances with negligible hysteresis and/or supercooling and the measurements are quasi-equilibrium using very slow heating/cooling rates, as in adiabatic scanning calorimetry (ASC). We show that in such cases a unique Tpc can be identified and calculated from the measured heat capacity peaks. It suffices to take into account that PCM samples do not have an ideal microstructure but are rather composed of many micro- to nano-sized domains. The heat capacity peak is then an average of individual peaks that (a) come from all domains and (b) have different shifts from Tpc for different domain sizes. Interpreting a heat capacity peak measured by ASC in this way, we present a procedure from which Tpc can be evaluated. We apply the procedure to three examples of materials using available ASC data and point out the importance of the size distribution of domains.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20501 - Materials engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Thermal Analysis and Calorimetry

  • ISSN

    1388-6150

  • e-ISSN

    1588-2926

  • Volume of the periodical

    148

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    HU - HUNGARY

  • Number of pages

    12

  • Pages from-to

    1693-1704

  • UT code for WoS article

    000788435600001

  • EID of the result in the Scopus database

    2-s2.0-85128933265