Novel method on thermal resistance prediction and thermo-physiological comfort of socks in a wet state

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F20%3A00007441" target="_blank" >RIV/46747885:24410/20:00007441 - isvavai.cz</a>
Alternative codes found
RIV/46747885:24620/20:00007441
Result on the web
<a href="https://journals.sagepub.com/doi/full/10.1177/0040517520902540" target="_blank" >https://journals.sagepub.com/doi/full/10.1177/0040517520902540</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/0040517520902540" target="_blank" >10.1177/0040517520902540</a>

Result language
angličtina
Original language name
Novel method on thermal resistance prediction and thermo-physiological comfort of socks in a wet state
Original language description
The present study proposes a novel method to measure the thermal resistance and comfort properties of various sock samples under wet conditions. Theoretically, comfort properties are responsible for transporting moisture by our body with different rates. Therefore, plain socks with different fiber composition were wetted to a saturated level and after getting the required moisture content, the sock samples were characterized by Alambeta (for thermal resistance and thermal absorptivity) and Permetest instruments for relative water vapor permeability in the wet state. In addition, various skin models were utilized to make a comparison of thermal resistance in the dry state. Two different models were modified for analyzing the thermal resistance under wet conditions. According to the models used, the prediction of thermal resistance is a combined effect of the filling coefficient and thermal conductivity of wet polymers instead of dry polymers. With these modifications, the used models predicted the thermal resistance at different moisture levels with a significant correlation (R2) value, that is, 0.84–0.97.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20503 - Textiles; including synthetic dyes, colours, fibres (nanoscale materials to be 2.10; biomaterials to be 2.9)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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