Chemical treatments using hydrolyzed keratin from waste down were performed to suppress the shrinkage in the course of drying of archaeological waterlogged woods excavated from the sites. The keratin treated woods showed high stability against shrinkage. This treatment was also effective for protection of the cell structure of treated woods against W rays. This treatment seems to have some degree of applicability for the conservation treatment of archaeological waterlogged woods.

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The elegant impression of swirl skirts has been well received by most ladies, yet the textile industry does not have an objective method of evaluating the visual elegance of swirl skirt by grades. In the present study we there for use fabric mechanical properties through the KES-FB system to predict the elegance of swirl skirt manufactured that is to create a method for objectively evaluating visual elegance of swirl skirt by grades. From the study it is found there is a notable correlation between fabric mechanical properties and the visual elegance of swirl skirt by grades. It can also establish a objective evaluation model of visual elegance of swirl skirt by grades basing on the regression method using several key fabric mechanical properties, in which the said models pass the fitting test with results exceeding 0.80. In addition, in the present study we use stepwise regression selection method to pick out the most significant key factors (bending rigidity and shear hysteresis at 0.5°) affecting the visual elegance of swirl skirt by grades and then reapplies the regression method successfully thus establishing a method only using two fabric mechanical properties for objective evaluation of the visual elegance of swirl skirt by grades, in a more simple and objective manner.

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Using regression analysis, visual elegance of swirl skirts objective evaluation method was already established in Part I . Neural network is used to establish prediction model in this research to effectively evaluate visual elegance of swirl skirts. According to this research, the correlation coefficient between the visual elegance of swirl skirt practical and predicted value of model established by neural network method is 0.95. Neural network method is more accurate than regression analysis. Furthermore, it can establish visual elegance of swirl skirts prediction model with two key parameters of fabric mechanical properties and still preserves high fitting ability while keeping the benefits of simple, convenient to use, objective and effective.

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In order to explore the frictional strength of entanglement of interlaced yarns, interlaced yams were subjected to iterative frictional forces by reciprocating rubbers and afterward their number of tangles was measured. The frictional strength of entanglement was defined as the ratio of the number of residual tangles to that of original ones. The number of fractions, friction angle, static tension, friction speed, and kind of yarns were used as experimental factors. As a result, when the number of fractions, friction angle, static tension and friction speed are large, tangling parts are easily destroyed. The yarn with more filaments or larger fineness shows a larger frictional strength of entanglement.

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The tangling angle is defined as the angle between filament axis in the tangling part of interlaced yarn and yarn axis. It is one of the structural factors which determine characteristics of interlaced yarns. However, filaments in the tangling parts display such complex configurations that the measurement of tangling angles by the traditional methods requires considerable time and labor. The present paper proposed a new simple method to determine the tangling angle from measurement of easily-quantifiable appearance characteristics of interlaced yarns in a short time and clarified the relation between tangling angle and interlacing process condition.

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