A New Approach for Thermal Resistance Prediction of Different Composition Plain Socks in Wet State (Part 2)

A New Approach for Thermal Resistance Prediction of Different Composition Plain Socks in Wet State (Part 2)

Socks’ comfort has vast implications in our everyday living. This importance increased when we have undergone an effort of low or high activity. It causes the perspiration of our bodies at different rates. In this study, plain socks with different fiber composition were wetted to a saturated level....

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Bibliographic Details
Main Authors: Mansoor Tariq, Hes Lubos, Bajzik Vladimir
Format: Article
Language:English
Published: Sciendo 2021-05-01
Series:Autex Research Journal
Subjects:
thermal resistance
plain socks
mathematical models
wet state
Online Access:https://doi.org/10.2478/aut-2019-0070
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spelling doaj-dbb9225106ef412e88c65f346560941f2021-09-06T19:41:28ZengSciendoAutex Research Journal2300-09292021-05-0121223824710.2478/aut-2019-0070A New Approach for Thermal Resistance Prediction of Different Composition Plain Socks in Wet State (Part 2)Mansoor Tariq0Hes Lubos1Bajzik Vladimir2Faculty of Textile Engineering, Technical University of Liberec, Liberec, Czech RepublicFaculty of Textile Engineering, Technical University of Liberec, Liberec, Czech RepublicFaculty of Textile Engineering, Technical University of Liberec, Liberec, Czech RepublicSocks’ comfort has vast implications in our everyday living. This importance increased when we have undergone an effort of low or high activity. It causes the perspiration of our bodies at different rates. In this study, plain socks with different fiber composition were wetted to a saturated level. Then after successive intervals of conditioning, these socks are characterized by thermal resistance in wet state at different moisture levels. Theoretical thermal resistance is predicted using combined filling coefficients and thermal conductivity of wet polymers instead of dry polymer (fiber) in different models. By this modification, these mathematical models can predict thermal resistance at different moisture levels. Furthermore, predicted thermal resistance has reason able correlation with experimental results in both dry (laboratory conditions moisture) and wet states.https://doi.org/10.2478/aut-2019-0070thermal resistanceplain socksmathematical modelswet state
collection DOAJ
language English
format Article
sources DOAJ
author Mansoor Tariq
Hes Lubos
Bajzik Vladimir
spellingShingle Mansoor Tariq
Hes Lubos
Bajzik Vladimir
A New Approach for Thermal Resistance Prediction of Different Composition Plain Socks in Wet State (Part 2)
Autex Research Journal
thermal resistance
plain socks
mathematical models
wet state
author_facet Mansoor Tariq
Hes Lubos
Bajzik Vladimir
author_sort Mansoor Tariq
title A New Approach for Thermal Resistance Prediction of Different Composition Plain Socks in Wet State (Part 2)
title_short A New Approach for Thermal Resistance Prediction of Different Composition Plain Socks in Wet State (Part 2)
title_full A New Approach for Thermal Resistance Prediction of Different Composition Plain Socks in Wet State (Part 2)
title_fullStr A New Approach for Thermal Resistance Prediction of Different Composition Plain Socks in Wet State (Part 2)
title_full_unstemmed A New Approach for Thermal Resistance Prediction of Different Composition Plain Socks in Wet State (Part 2)
title_sort new approach for thermal resistance prediction of different composition plain socks in wet state (part 2)
publisher Sciendo
series Autex Research Journal
issn 2300-0929
publishDate 2021-05-01
description Socks’ comfort has vast implications in our everyday living. This importance increased when we have undergone an effort of low or high activity. It causes the perspiration of our bodies at different rates. In this study, plain socks with different fiber composition were wetted to a saturated level. Then after successive intervals of conditioning, these socks are characterized by thermal resistance in wet state at different moisture levels. Theoretical thermal resistance is predicted using combined filling coefficients and thermal conductivity of wet polymers instead of dry polymer (fiber) in different models. By this modification, these mathematical models can predict thermal resistance at different moisture levels. Furthermore, predicted thermal resistance has reason able correlation with experimental results in both dry (laboratory conditions moisture) and wet states.
topic thermal resistance
plain socks
mathematical models
wet state
url https://doi.org/10.2478/aut-2019-0070
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