Transient and sustained thermal sensation of cool double-layer textiles under unsteady heat transfer

In this study, a numerical model of human skin–fat–core tissue in contact with a double-layer textile was developed to characterize thermal sensation under unsteady heat transfer. The subcutaneous heat flux at a depth of 0.2 mm was employed as an indicator of thermal sensation. The model was validated against ten textile samples. For single-layer textiles, the predicted heat flux peak ( Q max ) correlated significantly with both subjective evaluations and the thermal effusivity ( b ) of textiles. Besides, two parameters, Q max and sustained coolness duration ( t s ), were defined to evaluate transient and sustained thermal sensation of double-layer textiles throughout the unsteady state. The effects of outer- and inner-layer thermal conductivity, inner-layer thickness and density, as well as ambient temperature on unsteady thermal sensation were systematically analyzed. The results suggested that the transient coolness was primarily governed by the thermal conductivity of the outer layer, whereas sustained coolness was mainly influenced by the thermal conductivity and density of the inner layer. Additionally, ambient temperature played a critical role in thermal sensation, and materials with lower surface thermal effusivity were preferred under low-temperature conditions to alleviate the initial cold feeling.

Authors

Institutions

Publication Details

Journal
International Communications in Heat and Mass Transfer
Published
2026-09-11
DOI
https://doi.org/10.1016/j.icheatmasstransfer.2026.112562
Primary Topic
Textile materials and evaluations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Transient and sustained thermal sensation of cool double-layer textiles under unsteady heat transfer

紀伯融, Xin Qu, Lexi Tu, Sai Liu et al.
International Communications in Heat and Mass Transfer
Textile materials and evaluations
article

Transient and sustained thermal sensation of cool double-layer textiles under unsteady heat transfer

紀伯融, Xin Qu, Lexi Tu, Sai Liu, Guorong Yang, Hua Shen, Zhonggang Sun, Xiaolu Xu
article en

Abstract

In this study, a numerical model of human skin–fat–core tissue in contact with a double-layer textile was developed to characterize thermal sensation under unsteady heat transfer. The subcutaneous heat flux at a depth of 0.2 mm was employed as an indicator of thermal sensation. The model was validated against ten textile samples. For single-layer textiles, the predicted heat flux peak ( Q max ) correlated significantly with both subjective evaluations and the thermal effusivity ( b ) of textiles. Besides, two parameters, Q max and sustained coolness duration ( t s ), were defined to evaluate transient and sustained thermal sensation of double-layer textiles throughout the unsteady state. The effects of outer- and inner-layer thermal conductivity, inner-layer thickness and density, as well as ambient temperature on unsteady thermal sensation were systematically analyzed. The results suggested that the transient coolness was primarily governed by the thermal conductivity of the outer layer, whereas sustained coolness was mainly influenced by the thermal conductivity and density of the inner layer. Additionally, ambient temperature played a critical role in thermal sensation, and materials with lower surface thermal effusivity were preferred under low-temperature conditions to alleviate the initial cold feeling.

International Communications in Heat and Mass TransferVol. 180
Zhejiang Sci-Tech University (CN), Nanjing Tech University (CN), Donghua University (CN), Sheng Jing Hospital (CN), China Textile Academy (CN)
National University's Basic Research Foundation of China, Zhejiang Xinmiao Talents Program
Openalex Percentile: Top 23%
Textile materials and evaluations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.