한국염색가공학회지 (Textile Coloration and Finishing)

  • 제19권2호
  • /
  • Pages.14-23
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  • 2007
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  • 1229-0033(pISSN)
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  • 2234-036X(eISSN)
한국염색가공학회 (The Korean Society of Dyers and Finishers)
권호 표지

Coloration behaviors of phthalocyanine reactive dye on nylon substrates: experiments, empirical modeling and statistical analysis

  • Kim, Byung-Soon (BK21 FTIT, Department of Organic Materials and Textile System Engineering, Chungnam National University) ;
  • Ravikumar, K. (BK21 FTIT, Department of Organic Materials and Textile System Engineering, Chungnam National University) ;
  • Yoon, Seok-Han (Korea Dyeing Technology Center) ;
  • Son, Young-A (BK21 FTIT, Department of Organic Materials and Textile System Engineering, Chungnam National University)
  • 발행 : 2007.04.27
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초록

This research article explores the use of phthalocyanine reactive dye on nylon substrate. The effect of factors such as pH, temperature, liquor ratio and alkali addition on level of dye exhaustion, fixation and total fixation efficiency. Low pH, high temperature and low liquor ratio were found to be suitable conditions for maximum % exhaustion values. The effect of sulphatoethylsulphone(SES) and vinylsulphone(VS) form of the dyes on level of dye fixation was also discussed. The optimized exhaustion (%E), fixation(%F) and total fixation efficiency were determined. Modification of the dyeing process with alkali addition displayed that dye fixation(%) increased by alkali addition. Vinylsulphone(VS) moiety of the dye was found to be superior to. maximum fixation (%F). Appropriate predictable empirical models, relatively a new approach in dyeing processes, were developed incorporating interactions effects of temperature, pH and liquor ratio for predicting % exhaustion, fixation and total fixation efficiency. The significance of the mathematical model developed was ascertained using microsoft excel regression(solver) analysis module. High correlation coefficient was obtained (R2=0.9895 for % exhaustion, R2=0.9932 for fixation, R2=0.9965 for total fixation efficiency) for the model which shows prominent prediction capacity of the model for my conditions. The predictable polynomial equations developed from tile experimental results were thoroughly analyzed by ANOVA (Analysis of Variance) statistical concepts.

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참고문헌

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