Journal of Textile Research ›› 2021, Vol. 42 ›› Issue (03): 95-101.doi: 10.13475/j.fzxb.20200401607

• Textile Engineering • Previous Articles     Next Articles

Evaluation method and prediction model establishment of cooling performance of knitted fabrics

YANG Yang1, YU Xin2, ZHANG Weijing1, ZHANG Peihua1()   

  1. 1. College of Textiles, Donghua University, Shanghai 201620, China
    2. Institute for Frontier Materials, Deakin University, Geelong 3216, Australia
  • Received:2020-04-07 Revised:2020-12-10 Online:2021-03-15 Published:2021-03-17
  • Contact: ZHANG Peihua E-mail:phzh@dhu.edu.cn

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Abstract:

There is no definite systematic characterization and test method to evaluate the cooling performance of knitted fabrics. A novel evaluation method of cooling performance of knitted fabrics was introduced. This method was characterized by the thermal transfer performance of dry fabric and the cooling performance triggered by thermal transfer, moisture diffusion and evaporation of wet fabrics. Based on the evaluation theory of thermal transfer behavior of fabrics, relevant evaluation indexes including cooling temperature, cooling temperature index and cooling capacity index were proposed. The correlation analysis of the cooling parameters and the relevant thermal comfort parameters of 34 knitted fabrics were conducted, and the prediction models of cooling performance parameters were established based on stepwise multiple regression analysis. The results show that the cooling performance of knitted fabrics are mainly linearly related their thermal resistance, water vapor resistance, diffusion radius and drying rate. The cooling capacity index can be predicted by thermal resistance, water vapor resistance and drying rate of knitted fabrics, and the cooling temperature can be predicted by thermal resistance and diffusion radius of knitted fabrics.

Key words: knitted fabric, cooling performance, prediction model of cooling performance, thermal-moist comfort, cooling capacity index

CLC Number: 

  • TS181

Fig.1

Knitting structure of knitted fabric samples. (a) Double tuck stitch; (b) Double tuck stitch (small mesh);(c) 1×1 interlock; (d) Double tuck stitch (large mesh)"

Tab.1

Specification parameters of knitted fabric"

面料
编号		 编织结构 面密度/
(g·m-2)		 纵密/(横列·
(5 cm)-1)		 横密/(纵行·
(5 cm)-1)		 厚度/
mm
F1 双罗纹 191 68 74 0.96
F2 双罗纹 191 70 74 1.00
F3 双罗纹 192 68 74 1.01
F4 双罗纹 196 70 74 1.01
F5 双罗纹 194 70 72 0.98
F6 双罗纹 197 68 74 0.99
F7 双罗纹 195 70 72 1.01
F8 双罗纹 191 70 72 0.94
F9 双罗纹 197 68 74 0.98
F10 双罗纹 196 70 72 0.99
F11 双罗纹 221 68 70 0.90
F12 双罗纹 221 70 72 0.81
F13 双罗纹 218 70 72 0.84
F14 双罗纹 221 68 72 0.83
F15 双罗纹 218 68 72 0.88
F16 双罗纹 225 68 74 0.83
F17 双罗纹 220 70 72 0.84
F18 双罗纹 223 68 72 0.84
F19 双面集圈 161 90 65 0.71
F20 双面集圈 158 94 67 0.74
F21 双面集圈 179 95 63 0.86
F22 双面集圈 190 92 65 1.06
F23 双面集圈 182 96 67 1.11
F24 双面集圈 170 95 63 0.69
F25 双面集圈 168 93 65 0.77
F26 双面集圈 169 91 65 0.91
F27 双面集圈 175 93 67 0.94
F28 双面集圈 170 92 65 0.95
F29 小网眼 127 95 64 0.63
F30 小网眼 124 93 67 0.63
F31 小网眼 129 92 66 0.68
F32 大网眼 107 94 65 0.57
F33 大网眼 109 93 67 0.59
F34 大网眼 106 95 65 0.60

Fig.2

Schematic diagram of test instrument"

Tab.2

Results of descriptive statistics analysis"

性能参数 最小值 最大值 平均值 标准偏差 偏度 偏度标准分数 峰度 峰度标准分数
透气率/(L·(m2·s)-1) 580.02 3 314.22 1 539.33 808.77 0.55 1.37 -0.86 -1.09
芯吸高度/cm 7.90 21.80 14.92 4.17 0.03 0.08 -1.10 -1.39
单向导湿指数 -161.93 835.05 237.86 249.18 0.84 2.09 0.70 0.89
扩散半径/mm 5.00 30.00 17.33 6.07 -0.42 -1.05 -0.22 -0.28
干燥速率/(mL·h-1) 0.92 2.23 1.53 0.31 0.21 0.51 0.01 0.01
热阻/(10-3m2·K·W-1) 12.25 27.74 18.37 3.95 0.56 1.39 -0.15 -0.19
湿阻/(cm2·Pa·W-1) 1.24 4.95 3.12 1.05 0.33 0.83 -0.44 -0.56
凉爽温度/℃ 5.50 7.88 6.71 0.69 -0.43 -1.06 -1.02 -1.29
凉爽能力指数/(10-3m2·K·(W·s)-1) 26.04 47.53 33.92 5.76 0.75 1.85 -0.33 -0.42
凉爽温度指数/(K·s-1) 14.35 26.19 18.68 3.18 0.75 1.85 -0.33 -0.42

Tab.3

Correlation analysis between thermal-wet parameters and cooling property"

性能参数 相关系数类型 透气率 芯吸高度 单向导湿指数 扩散半径 干燥速率 热阻 湿阻
凉爽能力指数 皮尔森相关系数 0.460* -0.282 -0.303 0.005 0.198 -0.779** 0.621**
显著性 0.017 0.106 0.082 0.979 0.262 0 0
凉爽温度 皮尔森相关系数 0.055 0.089 -0.255 0.334 0.014 -0.708** 0.378*
显著性 0.757 0.615 0.146 0.054 0.939 0 0.028

Fig.3

Linear correlation analysis results of thermal-wet performance parameters"

Tab.4

Prediction analysis and variance analysis results based on stepwise method between cooling capacity index and thermal-wet performance parameters"

模型
编号		 预测分析 项目 方差分析
R2 调整
R2		 标准
差		 平方和 df 均方 F 显著
性
1 0.606 0.594 3.673 回归 664.38 1 664.38 49.24 0.00
残差 431.77 32 13.49
总计 1 096.15 33
2 0.731 0.714 3.085 回归 801.15 2 400.57 42.09 0.00
残差 295.01 31 9.52
总计 1 096.15 33
3 0.765 0.742 2.930 回归 838.58 3 279.53 32.56 0.00
残差 257.57 30 8.59
总计 1 096.15 33

Tab.5

Coefficient matrix of multiple linear regression model between cooling capacity index and thermal-wet performance parameters"

模型
编号		 项目 非标准
化系数		 标准差 标准化
系数		 T 显著性
1 常量 54.803 3.043 18.012 0.000
热阻 -1.137 0.162 -0.779 -7.017 0.000
2 常量 44.404 3.749 11.845 0.000
热阻 -0.927 0.147 -0.635 -6.310 0.000
湿阻 2.097 0.553 0.381 3.791 0.001
3 常量 34.917 5.773 6.049 0.000
热阻 -0.813 0.150 -0.557 -5.422 0.000
湿阻 2.576 0.573 0.469 4.493 0.000
干燥速率 3.863 1.850 0.207 2.088 0.045

Tab.6

Prediction analysis and variance analysis results based on stepwise method between cooling temperature and thermal-wet performance parameters"

模型
编号		 预测分析 项目 方差分析
R2 调整
R2		 标准差 平方和 df 均方 F 显著性
1 0.501 0.486 0.496 回归 7.91 1 7.91 32.17 0.00
残差 7.82 32 0.25
总计 15.79 33
2 0.678 0.658 0.405 回归 10.71 2 5.35 32.68 0.00
残差 5.08 32 0.16
总计 15.79 33

Tab.7

Coefficient matrix of multiple linear regression model based on stepwise method between cooling temperature and thermal-wet performance parameters"

模型
编号		 项目 非标准
化系数		 标准差 标准化
系数		 T 显著性
1 常量 8.987 0.411 21.875 0.000
热阻 -0.124 0.022 -0.708 -5.672 0.000
2 常量 8.311 0.373 22.274 0.000
热阻 -0.133 0.018 -0.758 -7.390 0.000
扩散半径 0.048 0.012 0.424 4.129 0.000
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