의류제품의 세탁조건과 지속가능성: 세탁온도와 세탁시간을 중심으로

윤창상 ( Changsang Yun ),류한나 ( Hanna Ryu ),박소현 ( Sohyun Park ) 대한가정학회 2018 Human Ecology Research(HER) Vol.56 No.5

The use stage of a textile product impacts sustainability more significantly than other stages of the product’s life cycle due to repeated washing and drying. This study determines efficient washing conditions, with high detergency, to reduce energy consumption from excessive washing and improve the washing process sustainability. Detergency was measured at various washing temperatures (20°C, 40°C, and 60°C) and time (10 min, 20 min, and 30 min) using standardized soiled fabrics, i.e., 100% cotton, polyester/cotton (65%/35%), and 100% polyester woven fabric soiled with pigment/sebum, carbon black/mineral oil, soot/mineral oil, cocoa, blood, and red wine. Detergency at the washing condition of 20 ℃ and 30 min was higher than that at 40 ℃ and 10 min. In addition, detergency at the condition of 40 ℃ and 30 min was also higher than that at 60 ℃ and 10 minutes. This may be because a reduced washing effect at low washing temperatures was complemented by increased mechanical action over a long time. Further, washing temperature and time, with the same detergency, differed based on the type of fiber and soil. Also, the influence of a detergent on the detergency depends on the type of soil. The results suggest that energy and detergent have been consumed more than necessary in actual laundry. According to each type of fiber and soil, washing conditions designed to reduce the energy consumption of the washing process while maintaining the same detergency, were determined.

세탁 및 건조과정에 의한 스판덱스 혼방 직물의 변형 비교

윤창상 ( Changsang Yun ),고예린 ( Yerin Ko ),송경희 ( Gyeong Hee Song ),신효담 ( Hyodam Shim ),박정희 ( Chung Hee Park ) 한국의류학회 2017 한국의류학회지 Vol.41 No.3

There is increased interest in clothes dryers and garments made of spandex-blend woven fabrics; however, there is limited information available for the laundering and drying these clothes. This study investigates the effects of washing and drying on shrinkage, skewness, and wrinkle for woven fabrics with and without spandex. When spandex with good elastic recovery was blended, the deformed shape from washing and drying improved skewness and wrinkle by easily returning to its original shape. However, these properties had a negative effect on shrinkage in terms of length and area change. When the influence of clothes maintenance was classified, the drying process had the biggest influence of 58%, followed by spinning-rinsing-washing. Tumble drying, in which the fabric is exposed to mechanical force and heat for a long period, had more negative effects on the dimensional stability than line drying. The spandex blend had the effect of preventing skewness and wrinkle in garments, but it was also shown to accelerate shrinkage by garment main-tenance cycles. It was important to control drying in order to reduce shrinkage during the maintenance pro-cess; consequently, this had the greatest influence on the dimensional stability of fabrics. Therefore, line dry-ing was more advantageous for spandex-blend fabrics than tumble drying in terms of management for shrin-kage, skewness, and wrinkle.

웨어러블 디바이스를 위한 은 나노와이어 코팅 전도사 개발

김지민 ( Jimin Kim ),윤창상 ( Changsang Yun ) 한국의류학회 2021 한국의류학회지 Vol.45 No.4

Recent advances in electronic technology have engendered a need for research on the use of smart materials in clothing. Electro-conductive fibers are expected to be a crucial element of wearable devices. Therefore, in this study, we have attempted to develop electro-conductive threads and cables using silver nanowires. Based on the characteristics of silver nanowire, in which electro-conductivity can be imparted via heat treatment, we prepared conductive threads by coating nylon yarn with silver nanowires and curing at temperatures of 140°C, 150°C, and 160°C. Conductive threads cured at 140°C had the highest conductivity, followed by threads cured at 160°C and 150°C respectively. The order of the electrical conductivity of the threads after tensile testing was consistent with the original order of the conductivity of the threads. When we evaluated the sensing performance of electro-conductive cables fabricated from these threads, the cables manufactured from threads cured at 140°C and 160°C were found to function normally within temperature and humidity sensors. All the cables operated normally in illuminance and electrocardiogram sensors. Thus, we believe that threads made of silver nanowire have sufficient electrical conductivity to be utilized as wearable sensors.

의류관리기 내 직물거동이 구김 제거에 미치는 영향

유동주 ( Dongjoo Yu ),윤주희 ( Juhee Yoon ),이상욱 ( Sang Wook Lee ),윤창상 ( Changsang Yun ) 한국의류학회 2021 한국의류학회지 Vol.45 No.2

The purpose of this study was to examine the effect of fabric movement on wrinkle recovery in a clothing care system and to propose an algorithm to improve wrinkle removal performance by adjusting fabric movements. With an increase in the reciprocating speed of the movement system, the number and amplitude of curves on the fabric also increased. This allowed the fabric to be applied to a larger tension, resulting in better wrinkle removal performance at higher speeds. However, even at high reciprocating speeds, wrinkles could not be removed effectively because of nodes at a few specific locations. Based on the results of fabric movement and wrinkle recovery, a complex movement algorithm was proposed with a mixture of various reciprocation speeds. It showed a 41%p (24%→65%) improvement of wrinkle recovery when compared with the conventional algorithm that showed simple fabric movement at 180 rpm. This was because the positions of nodes and antinodes changed continuously and the force by the reciprocating motion could be applied evenly to the fabric.

인공신경망을 이용한 드레이프성 예측

이소민 ( Somin Lee ),유동주 ( Dongjoo Yu ),신보나 ( Bona Shin ),윤선영 ( Seonyoung Youn ),심명희 ( Myounghee Shim ),윤창상 ( Changsang Yun ) 한국의류학회 2021 한국의류학회지 Vol.45 No.6

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.

3D 가상화를 위한 드레이프성 간이 측정법 개발

신보나 ( Bona Shin ),유동주 ( Dongjoo Yu ),이소민 ( Somin Lee ),윤선영 ( Seonyoung Youn ),심명희 ( Myounghee Shim ),윤창상 ( Changsang Yun ) 한국의류학회 2021 한국의류학회지 Vol.45 No.5

This study proposes a simple drape measurement method for the 3D virtualization of garments. The proposed method uses angles or disks of different diameters to evaluate the drape properties easily. We divided 710 fabrics into ten groups based on the drape coefficient, of which 49.6% had drape coefficients of 30 or less. The drape properties were measured to classify the groups into smaller clusters using the angle formed when the center of the fabric was fixed. Accordingly, three clusters were formed for 60° and 100° angles. A method was devised using ten disks of different diameters to classify the remaining two clusters, except the cluster containing only the D10 group (D1-D5 and D5-D9). Three criteria-grade match, a sum of deviation, and standardization of deviation-were used for the classifications. The discriminative ability between groups was high for D1-D5 with disks with 24.0 and 25.5 cm diameters. Furthermore, a disk with a diameter of 16.5 cm was effective for D5-D9. The three-dimensional drape shapes were unique for the ten groups, which can be utilized as fundamental data for 3D virtualization.