• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.4
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• pp.201-205
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• 2020

The structural texture is defined as a form which a texel is regularly repeated in the texture. Structural texture analysis/recognition has various industrial applications, such as automatic inspection of textiles, automatic testing of metal surfaces, and automatic analysis of micro images. In this paper, we propose a Convolution Neural Network (CNN) based system for structural texture analysis. The proposed method learns texles, which are components of textures to be classified. Then, this trained CNN recognizes a structural texture using a partial image obtained from input texture. The experiment shows the superiority of the proposed system.

• Composites Research
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• v.31 no.2
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• pp.69-75
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• 2018

In this study, a grid panel structure in which the woven CFRP composites were stacked in the orthogonal array was proposed and the mechanical properties were analyzed and studied. The grid parts were fabricated by cutting prepregs and laminating them. The grid panel structure was fabricated by co-curing with lower laminate plate in auto-clave process. The behavior of the proposed grid panel structure was evaluated by tests under tensile, compressive, shear, and bending loads. The effect of increasing the stiffness of the orthogonal grid structure was verified through these tests. In addition, the finite element model was constructed and compared with the test results, confirming the validity and reliability of the test and analysis.

• Conservation Science in Museum
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• v.9
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• pp.31-49
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• 2008

We have investigated and conserved three small Buddha statues dating from Joseon period that were purchased by the National Museum of Korea. Chemical analysis and investigation of internal structures were enabled us to identify its compositions and hollow spaces which have various materials just like fabrics, silver ornaments, beads and wood fragments. The fabrics date from the early years of the Joseon dynasty to the middle one. The compositions of matrix of the Buddha statues vary 80-90 wt% Ag and 7-15 wt% Cu. And its surface layers were gilt with amalgam. Mechanical and chemical cleaning with EDTA-2Na were applied together during the cleaning process.

• Journal of Sericultural and Entomological Science
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• v.27 no.2
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• pp.28-39
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• 1985

The structural and useful characteristics of silk habutae treated with silicone resin by emulsion finishing method were studied. The results were obtained through crease recovery test, water repellency test, scanning micrograph observation, amino acid analysis, X-Ray diffraction analysis, and Fourier Transform Infrared Spectroscopy. The results are summarized as follows; 1) The improvement in crease recovery of silk habutae finished with silicone resin, was observed b soaping treatment and curing conditions. 2) The higher water repellency and stiffness in silk fabrics finished with silicone resin was found by the fabric inspection and the scanning electron microscopic observation. It is suggested that silicone resin impregnated into the void of silk fibroin. 3) The polar side chains of amino acid composition were decreased, when the silicone resin was treated on silk fibroin. 4) Through Amino acid analysis of silicone resin finished fibroin, the different amounts of amino acid composition was indicated due to silk fibroin silicone polymer reaction and the structural difference of its fibroin were also proved by X-ray diffractograms. 5) The functionality of the siloxane compound may be deduced from the silicone finished silk habutae by Fourier Transform Spectroscopy. It was concluded from the above results that the useful characteristics of silk fabric can be improved by silicone resin finishing.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.44 no.11
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• pp.941-948
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• 2016

Textile composite materials have been widely applied in aerospace structures due to their various advantages such as high specific stiffnesses and strengths, better out-of-plane performances, impact and delamination resistances, and net shape fabrications. In this paper, a modified geometric model of repeating unit cell (RUC) is suggested based on the Naik's model for 2D plain weave textile composites. The RUC geometry is defined by various parameters. The proposed model considers another parameter which is a gap length between adjacent yarns. The effective stiffnesses are predicted by using the yarn slicing technique and stress averaging technique based on iso-strain assumption. And the stiffnesses of RUC are evaluated by adjusting the gap ratio and verified by comparing with Naik's model and experimental data for 2D plain weave composite specimens.

• Journal of Conservation Science
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• v.33 no.2
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• pp.97-106
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• 2017

The purpose of this study was to investigate the characteristics and detergency of natural surfactants for the cleaning of excavated fabrics. For this purpose, SDS, a synthetic surfactant, was selected as the control, and five types of natural surfactants, namely, LES, apple wash, tea saponin, cornacopa, and coco betaine were selected. The structures of the surfactants were confirmed by FT-IR spectroscopy analysis, and the characteristics of the surfactants were determined by measuring the pH and surface tension. In addition, detergency testing was carried out on four artificially soiled fabrics and fragments of excavated fabrics. From the results, apple wash, tea saponin, and cornacopa were found to be as good as SDS in terms of detergency in the cleaning of artificially soiled fabrics, and the detergency of tea saponin and coco betaine was found to be good for cleaning excavated fabrics. Therefore, considering the safety and detergency of detergents, among natural surfactants, tea saponin is found to be most suitable for the cleaning of excavated fabrics.

• Science of Emotion and Sensibility
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• v.8 no.4
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• pp.345-354
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• 2005

In this study, the mechanical properties and hand characteristics have been analyze4 according to fabric structural parameters such as the weft density and weave stricture of cotton fabric. KES-FB system was used to measure hand characteristics and mechanical properties of fabric. The weft density made an effect on bending and shear properties but not on tensile , compression, and surface properties. In case of wearing property, B/w, 2HG/G, 2HB/B, 2HB/W, $\sqrt[3]{B/W}$, $\sqrt{2HB/W}$, W/T, WC/W were affected tv the weft density. The crimp was highly correlated with the tightness, hand, wearing an4 mechanical properties, specially tensile linearity, bending, shear, and compression properties. The weft crimp influenced the bending, shear, compression resilience, surface roughness, hand, and wearing properties. The tightness has an effect on tile bending, shear, compression, surface friction, hand, and wearing properties.

• Polymer(Korea)
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• v.33 no.6
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• pp.575-580
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• 2009

Carbon fabric-reinforced silicon carbide composites (C/SiC) have attracted a considerable attention for high temperature structural application because of their outstanding oxidation resistance property and thermal shock resistance. In this study, we reported on the preparation of C/SiC composites by the polymer impregnation and pyrolysis (PIP) method. For this, polycarbosilane solution was impregnated into the carbon fabric and then cured by electron beam irradiation under argon atmosphere. Afterwards, the cured composite was pyrolyzed at $1300^{\circ}C$ for 1 h under argon atmosphere to produce the C/SiC composite. The porosity and density of the C/SiC composite were 13.5% and $2.44\;g/cm^3$, respectively, when the impregnation of the carbon fabric with the 30 wt% polycarbosilane solution conducted four times. In addition, in the isothermal experiment at $1500\;^{\circ}C$ in air for 5 h, the 95.9 wt% of the C/SiC composite was remained, indicating that the prepared C/SiC composite has a outstanding oxidation resistance.

• Polymer(Korea)
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• v.37 no.1
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• pp.52-60
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• 2013

Partially hydrolyzed cellulose acetate (CA) fibers were prepared by treating CA fibers in aqueous $Na_2CO_3$ solutions of various concentrations. The deacetylation of CA fibers was confirmed through FTIR spectra and WAXD patterns. The hydrolysis was confined to the surface part of the CA fiber by controlling the treatment conditions. The resultant fibers had a sheath-core structure with a sheath component of regenerated cellulose and a core of non-hydrolyzed cellulose acetate. The SEM images of the surface-hydrolyzed CA fibers, the core of which was dissolved out using acetone as the solvent, showed that the sheath thickness increased with increasing alkaline concentration, indicating an increase in the hydrolyzed fiber, i.e., regenerated cellulose. Polarized FTIR analysis of the polyimide film rubbed with velvet fabrics of surface-hydrolyzed CA fibers showed that polyimide molecules were preferentially oriented to the rubbing direction.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.3
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• pp.503-515
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• 2018

In this research, the three-dimensional structural and colorimetrical modeling of yarn-dyed woven fabrics was conducted based on the Kubelka-Munk theory (K-M theory) for their accurate color predictions. In the K-M theory for textile color formulation, the absorption and scattering coefficients, denoted K and S, respectively, of a colored fabric are represented using those of the individual colorants or color components used. One-hundred forty woven fabric samples were produced in a wide range of structures and colors using red, yellow, green, and blue yarns. Through the optimization of previous two-dimensional color prediction models by considering the key three-dimensional structural parameters of woven fabrics, three three-dimensional K/S-based color prediction models, that is, linear K/S, linear log K/S, and exponential K/S models, were developed. To evaluate the performance of the three-dimensional color prediction models, the color differences, ${\Delta}L^*$, ${\Delta}C^*$, ${\Delta}h^{\circ}$, and ${\Delta}E_{CMC(2:1)}$, between the predicted and the measured colors of the samples were calculated as error values and then compared with those of previous two-dimensional models. As a result, three-dimensional models have proved to be of substantially higher predictive accuracy than two-dimensional models in all lightness, chroma, and hue predictions with much lower ${\Delta}L^*$, ${\Delta}C^*$, ${\Delta}h^{\circ}$, and the resultant ${\Delta}E_{CMC(2:1)}$ values.