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优化疏水织物处理的实验设计方法

Design of Experiment Approach to Optimize Hydrophobic Fabric Treatments.

作者信息

Rezić Iva, Kiš Ana

机构信息

Department of Applied Chemistry, Faculty of Textile Technology, University of Zagreb, 10000 Zagreb, Croatia.

Textile Company, Čateks, d.d. Ul. Zrinsko Frankopanska 25, 40000 Čakovec, Croatia.

出版信息

Polymers (Basel). 2020 Sep 18;12(9):2131. doi: 10.3390/polym12092131.

DOI:10.3390/polym12092131
PMID:32961944
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7569900/
Abstract

Polymer materials can be functionalized with different surface treatments. By applying nanoparticles in coating, excellent antimicrobial properties are achieved. In addition, antimicrobial properties are enhanced by hydrophobic surface modification. Therefore, the goal of this work was to modify the process parameters to achieve excellent hydrophobicity of polymer surfaces. For this purpose, a Design of Experiment (DoE) statistical methodology was used to model and optimize the process through six processing parameters. In order to obtain the optimum and to study the interaction between parameters, response surface methodology coupled with a center composite design was applied. The ANNOVA test was significant for all variables. The results of the influence of process parameters showed that, by increasing the pressure, concentration of hydrophobic compounds and dye concentration, water vapor permeability was enhanced, while by decreasing weight, its efficiency was enhanced. Moreover, the increase in the temperature enhanced water vapor permeability but decreased the resistance to water wetting. An optimal process with ecologically favorable 6C fluorocarbon (68.802 g/L) surpassed all preliminary test results for 21.15%. The optimal process contained the following parameters: 154.3 °C, 1.05 bar, 56.07 g/L dye, 220 g/m fabric. Therefore, it is shown that DoE is an excellent tool for optimization of the parameters used in polymer surface functionalization.

摘要

聚合物材料可以通过不同的表面处理实现功能化。通过在涂层中应用纳米颗粒,可以获得优异的抗菌性能。此外,疏水性表面改性可增强抗菌性能。因此,这项工作的目标是调整工艺参数,以实现聚合物表面优异的疏水性。为此,采用实验设计(DoE)统计方法,通过六个工艺参数对该工艺进行建模和优化。为了获得最优结果并研究参数之间的相互作用,应用了响应面方法结合中心复合设计。方差分析(ANNOVA)测试对所有变量均具有显著性。工艺参数影响结果表明,通过提高压力、疏水化合物浓度和染料浓度,水蒸气透过率提高,而通过降低重量,其效率提高。此外,温度升高提高了水蒸气透过率,但降低了抗水湿性。采用生态友好型六碳氟碳化合物(68.802 g/L)的最优工艺比所有初步测试结果高出21.15%。最优工艺包含以下参数:154.3℃、1.05巴、56.07 g/L染料、220 g/m织物。因此,结果表明实验设计是优化聚合物表面功能化所用参数的优秀工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/49ee7c10dec3/polymers-12-02131-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/8ba5b1976232/polymers-12-02131-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/55a9b063b6ff/polymers-12-02131-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/e846325aa546/polymers-12-02131-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/d0465f32919c/polymers-12-02131-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/0f9ee7d2a1c7/polymers-12-02131-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/ce4ab9695f69/polymers-12-02131-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/0599e7a3595d/polymers-12-02131-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/2241a9c1e12f/polymers-12-02131-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/fa68076440c3/polymers-12-02131-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/49ee7c10dec3/polymers-12-02131-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/8ba5b1976232/polymers-12-02131-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/55a9b063b6ff/polymers-12-02131-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/e846325aa546/polymers-12-02131-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/d0465f32919c/polymers-12-02131-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/0f9ee7d2a1c7/polymers-12-02131-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/ce4ab9695f69/polymers-12-02131-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/0599e7a3595d/polymers-12-02131-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/2241a9c1e12f/polymers-12-02131-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/fa68076440c3/polymers-12-02131-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e450/7569900/49ee7c10dec3/polymers-12-02131-g010.jpg

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