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Ultrasound-Assisted Mercerizing Process of Cotton Fabric: A Numerical Model Based on Response Surface Methodology (RSM)

机译:棉织物的超声辅助上光工艺:基于响应面法的数值模型

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The current study investigates the use of ultrasonic energy to provide a more efficient and eco-friendly mercerizing process. For both conventional and ultrasound-assisted techniques, the process variables, including sodium hydroxide concentration, reaction time, temperature, tensile strength and degree of mercerization, were modeled and compared by using the response surface methodology (RSM). The results revealed that the relationship between explanatory and response variables was similar in both techniques. However, there were greater changes for the ultrasonic-assisted treatment of samples. The optimum process parameters showed a lower alkali concentration in the mercerizing bath (approximate to 17 %) and a higher tenacity (approximate to 23 %) during the ultrasonic-assisted process, while the degree of mercerization was also higher in the same fibers. The study concluded that the ultrasound-assisted mercerization could be introduced as a more efficient alternative to the conventional mercerization process.
机译:当前的研究调查了超声能量的使用,以提供一种更有效和环保的丝光工艺。对于常规技术和超声辅助技术,都使用响应表面方法(RSM)对过程变量(包括氢氧化钠浓度,反应时间,温度,拉伸强度和丝光化程度)进行建模和比较。结果表明,两种技术中解释变量和响应变量之间的关系相似。但是,超声辅助处理样品的变化更大。最佳工艺参数表明,在超声辅助工艺中,丝光浴中的碱浓度较低(约17%),而韧性较高(约23%),而在相同的纤维中丝光度也较高。研究得出的结论是,可以将超声辅助丝光处理作为常规丝光处理的一种更有效的替代方法。

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