期刊
TEXTILE RESEARCH JOURNAL
卷 82, 期 18, 页码 1859-1869出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/0040517512447589
关键词
Atmospheric air-plasma; woven fabrics; wettability; capillarity; fuzzy logic-based selection criterion
In this work, different woven fabrics with varying raw materials, fiber types and weave constructions were used for studying plasma treatment under different atmospheric conditions. Surface modification was characterized using wetting and capillarity surface analysis methods. Moreover, a fuzzy sensitivity variation criterion was used to select the most relevant parameters for woven fabrics from experimental data measured on the fabrics and during the plasma process. In fact, the results obtained using this learning data-based fuzzy sensitivity variation criterion could effectively validate those obtained from the physical and chemical knowledge on plasma treatment. According to the results, air permeability, fiber count, weave construction and summit density were identified as the most relevant parameters, in addition to electrical power, treatment speed and fiber nature. This finding indicated that these parameters had an influence on the plasma treatment results.
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