In order to understand the influence of the surface immobilization method, i.e., water-repellent treatment method of non-fluorine system, on the cotton fabric, the mechanical properties of treated fabric samples were measured using the KES-FB system. The water-repellent cotton fabrics with a commercial resin processing were applied as comparative samples. It was found that the most remarkably decreased mechanical properties by processing with the surface immobilization method were the hysteresis of bending and shear properties. It suggested that this phenomenon was caused by a reduction in interfiber friction due to coverage of the fiber surface with a hydrocarbon chain. Both of the reforming treatments performed in this experiment were cloth surface reforming, but no significant change was observed in the surface properties. A little difference was observed in the various factors in the basic hand values for both the treated cotton fabrics. However, the value of mechanical properties when the surface immobilization treatment cotton fabrics were quite different from that in the commercial water-repellent cotton fabrics. The changes that occur in the mechanical properties may be thought to be unable to be represented well by the fabric hand due to the association of the respective mechanical property values.
It is one part of Big Data analysis to analyze BtoB data on industrial network. This paper mainly focuses on BtoB networks on Japanese Textile and Apparel Industry including about total 1500 companies on eight categories (overall apparel, ladies, mens, designers, babies/kids, inner/socks, sports wear, and jeans/work clothes). As a result, it was found that Textile and Apparel Industrial network in Japan has scale-free structure with an incline number γ⋍-2 and has fractal network structures between a whole network and the categories of overall apparel, ladies and mens. A hub company in scale-free structure is the trading company.