Analysis of Components of Fabrics in Fashion Trend Books - Focused on the Year 2002 through 2012 -

패션 정보지에 나타난 직물의 구성요소 분석 - 2002년~2012년을 중심으로 -

  • Kim, Mi-Jin (Dept. of Clothing and Textiles, Hanyang University) ;
  • Park, Myung-Ja (Dept. of Clothing and Textiles, Hanyang University)
  • 김미진 (한양대학교 대학원 의류학과) ;
  • 박명자 (한양대학교 대학원 의류학과)
  • Received : 2013.09.02
  • Accepted : 2013.10.28
  • Published : 2013.12.31

Abstract

Fabrics created unique features through the change in various ways depending on the elements including fabric structure, threads, thickness, weaving, patterns and processing. This study examined the difference between texture and image depending on components of fabrics. In order to understand the trend of components of fabrics, the actual components of fabrics was analyzed by year, using the women's apparel trend books, Nelly Rodi Fabrics and Promostyl Fabrics. This study analyzed Spring/Summer season and Fall/Winter season from 2002 to 2012. Frequency analysis, cross-tabulation analysis, multiple response cross tabulation analysis were implemented using SPSS 18.0. The followings are the analysis results. For fabric composition, Spring/Summer season used cotton fabric the most. Cotton fabric accounted for relatively high usage in 2005, 2007 and 2008. Fall/Winter season used wool the most in 2002, 2003, 2004 and 2005. In case of fiber blend by fabric composition, cotton was blended with other fibers in Spring/Summer season except wool. The fiber blending ratio of wool was the highest in Fall/Winter season. Wool was blended in most fabrics. More than two patterns were mixed for fabric patterns. The fabric patterns were applied the most in 2012. For fabric processing, the fabrics by sensitivity-functional processing were continuously used every year and the surface finish showed relatively high usage in 2002 and 2011. In conclusion, this study will build the systematic data for 11 years including fabric trends in the past. It can improve specialization, systematization and efficiency in fabric planning.

Keywords