• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.2
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• pp.220-229
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• 1999

The subjective hand and preference of alkaline hydrolized polyester fabrics were evaluated using the scale developed. The factors affecting consumer's taste for polyester fabrics was analyzed by the statistical technique. The effects of alkaline hydrolysis on the properties of polyester fabrics were evaluated by subjective and objective hand measurements. The lower the age the more senstive their feeling. As the age of evaluators decreased they felt fabrics light flexible refined thin flossy smooth fine soft more clinging. They also thought fabrics are colder, more flexible more spongy as the age increased. Experts were more sensitive and consistent when they evaluation the hand of fabrics than non-experts.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.8
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• pp.1117-1127
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• 2002

This paper is on the luster property of fertile fabric materials which is one of the important factors related to the development of clothing materials leading to the value-added products. Using several image analysis techniques, the optical properties, especially luster related ones, of the commercially available fabrics were measured and analyzed. The fabric samples included 6 kinds of preliminary experimental fabrics along with 22 kinds of fabric which were commercially available. The images acquired at various observing angles are taken by 44 Points and these Pictures are analyzed into luster through the image analysis program. The preliminary experiment demonstrated the effects of weave types and the number of yarn twist on the luster of the fabrics through the use of the image analysis program.

• Journal of Fashion Business
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• v.14 no.2
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• pp.57-72
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• 2010

The purposes of the research were to find out the clothing construction factors of the mechanical industry working clothes by analyzing the working clothes supplied to 5 subject companies; and to suggest the optimized sewing conditions and the seam strength and elongation experimental data according to the clothing material and seam types implied to the working clothes collected. The fabric types and trimmings used for the mechanical manufacturing working clothes were Polyester/Cotton(65/35%), Polyester/Rayon(65/35%), Cotton(100%); and linings, interlining, various fastenings etc. 2 stitch types, i.e. lock and two-thread chain stitches were applied to the construction of the flat, lap felled, French, superimposed, lapped and bound seams for the seam strength and elongation experiment. The results derived from the experiment were as follows. (1) The seam strength results according to the seam types were high in the order of lap felled>lapped>flat, superimposed and French seams. (2) Considering the features of the seam construction, as the number of fabric layers at the seam line increased the seam strength also increased. (3) Apart from the highest seam strength from the experiment using the net lining with the main fabric, the seam construction consisting of two fabric layers with the interlining showed relatively high seam strength results. (4) The seam elongations according to the stitch types were high in the order of two-thread chain>lock stitches.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.279-284
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• 2010

This paper surveys basic research for data base system of the fabric structural design. For this purpose, the weave density coefficients of the worsted and cotton fabrics are analysed and discussed with cover factors suggested by Prof. Walz and Picanol company. And the relationship between weave density coefficients and cover factors of the worsted and cotton woven fabrics was analysed and discussed with weave pattern and yarn count. Finally, the process shrinkages of dyeing and finishing processes according to the weave density coefficients of the worsted and cotton fabrics were analysed and discussed as a preliminary study for the data base system of the fabric structural design. As a result, the density coefficients, K values of the worsted and cotton fabrics were ranged from 600 to 1000, and the weave density coefficients of those fabrics are ranged from 0.4 to 0.8 and from 0.2 to 1.0, respectively. The finishing shrinkages for the worsted fabrics are ranged from 2% to 10%, and for cotton fabrics, it was from 2% to 20%. The weave density coefficients of the worsted and cotton fabrics could be distributed according to the looms, weave pattern and weaving and finishing shrinkages as a concept of the data base for the fabric structural design.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.288-296
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• 2019

The Korean textile industry faces a crisis, and overseas expansion is increasing. Indonesia, the third trading partner in the Korean textile industry, is the fifth largest country in terms of Korea's direct investment. This study intends to suggest a development strategy for Korean fabric mills to advance into Indonesia. First, the SWOT representative factors of the fabric mills considering the circumstances of Indonesia were derived through literature research and expert meeting. In order to derive the priority among these, AHP analysis was performed to derive the final weight and priority of the SWOT factors. Through this, I would like to suggest a management strategy that can be helpful to companies that have already entered Indonesia and are planning to enter the country in the future.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.6
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• pp.978-985
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• 2021

This study aims to propose a prediction model for the drape coefficient using artificial neural networks and to analyze the nonlinear relationship between the drape properties and physical properties of fabrics. The study validates the significance of each factor affecting the fabric drape through multiple linear regression analysis with a sample size of 573. The analysis constructs a model with an adjusted R² of 77.6%. Seven main factors affect the drape coefficient: Grammage, extruded length values for warp and weft (m_warp, m_weft), coefficients of quadratic terms in the tensile-force quadratic graph in the warp, weft, and bias directions (c_warp, c_weft, c_bias), and force required for 1% tension in the warp direction (f_warp). Finally, an artificial neural network was created using seven selected factors. The performance was examined by increasing the number of hidden neurons, and the most suitable number of hidden neurons was found to be 8. The mean squared error was .052, and the correlation coefficient was .863, confirming a satisfactory model. The developed artificial neural network model can be used for engineering and high-quality clothing design. It is expected to provide essential data for clothing appearance, such as the fabric drape.

• The Research Journal of the Costume Culture
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• v.19 no.1
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• pp.163-175
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• 2011

The purposes of this study are to identify quality factors of knitwears, to find out important attributes of knitwears quality, and to find attributes of knitwears quality which improvement are required. College students in the Seoul district participated in the study, a convenience sampling method was used. A questionnaires was arranged with three separates subject sections, importance degree of knitwears quality, satisfaction degree of purchased knitwears, and demographic factors. Data from 280 questionnaires were used for the statistical analysis. For data analysis, factor analysis, paired-samples t-test and multiple response frequency were conducted. The results were as follows. Knitwears quality factors were classified into six subdivisions by factor analysis; physical functions, yarn and fabric properties, fit, symbol, aesthetic, and usefulness. Quality attributes in purchasing knitwears were considered importantly in order of design, textures, color, price, size, and shape stability, etc. Among quality attributes on knitwears, there were significant differences in importance degree and satisfaction degree; important degree was higher than satisfaction degree to six factors on knitwears quality. Especially, in graph according to gap analysis, physical function and symbol were included in IV area, attributes that attention, required of quality improvement. In contrast, yarn and fabric properties, fit, aesthetic, and usefulness were included in I area, strengths, maintained presently quality levels.

• International Journal of Railway
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• v.1 no.3
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• pp.113-116
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• 2008

The long-tenn exposure of polymeric composite materials to extreme-use environments, such as pressure, temperature, moisture, and load cycles, results in changes in the original properties of the material. In this study, the effect of combined environmental factors such as ultraviolet ray, high temperature and high moisture on mechanical and thermal analysis properties of glass fabric and phenolic composites are evaluated through a 2.5 KW accelerated environmental aging tester. The environmental factors such as temperature, moisture and ultraviolet ray applied of specimens. A xenon-arc lamp is utilized for ultraviolet light and exposure time of up to 3000 hours are applied. Several types of specimens - tensile, bending, and shear specimens that are warp direction and fill direction are used to investigate the effects of environmental factors on mechanical properties of the composites. Mechanical degradations for tensile, bending and shear properties are evaluated through a Universal Testing Machine (UTM). Also, storage shear modulus, loss shear modulus and tan a are measured as a function of exposure time through a Dynamic Mechanical Analyzer (DMA). From the experimental results, changes in material properties of glass fabric and phenolic composites are shown to be slightly degraded due to combined environmental effects.

• Fashion & Textile Research Journal
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• v.3 no.5
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• pp.455-465
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• 2001

Assessing soil removal is of interest to the washing machine industry because of government-mandated energy savings and changes in detergent formulation and consumer laundry practices. We designed this study to examine the laundry process from a holistic perspective by integrating factors perceived to be of importance. Our purpose was to assess the impact of selected variables (fabric and soil type, wash temperature and time. detergent amount, and degree of agitation) on soil removal using accelerated laundry conditions. We used the Taguchi method to develop the research design and ANOVA to analyze the data. Although soil removal was affected by fabric type, soil type, type and amount of detergent, degree of agitation, wash time and temperature, and water hardness and volume, wash temperature was the most significant variable.

• Journal of the Korean Home Economics Association
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• v.34 no.3
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• pp.123-136
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• 1996

This report deals with the relations between the vibration restraint and the stress-strain properties of the stretch fabrics. For this purpose, a survey was carried out about the preferences in sports-brassiere. Six experimental sports-brassieres of an equal design, but of different materials were tested for vibration using an accelerometer and a motion analyzer while the subject is jogging. 1. The results of the survey on sports-brassiere preferences are as follows; Preferable factors are simple design, shield and close adhesion of sports brassiere. Dissatisfied factors on the sports-brassiere are drooping, vibrating of the breast, itching and wetting. The B-cup-size group perceive the bigger vibration and drooping than A-cup-size. 2. The results of the wearing tests are as follow; This experiment shows the vibration restraint effects on different stretch fabrics, such as hard, medium and soft nature. There was a linear relationship between the vibration restraint and combination of different types of stretch fabrics. Among different brassiere types, the 2-layered brassiere (inner layer of high tension fabric and outer layer of lower stretch fabric) showed the least vibration. In the case of 2-lay brassiere, the wearing comfort rate was highest.