| 발행년도/권호 |
2008 년 / 권호: V.20,no.2,Apr |
| 논문제목1(원어) |
Central Composite Design Matrix (CCDM) for Phthalocyanine Reactive
Dyeing of Nylon Fiber: Process Analysis and Optimization |
| 논문제목2(타언어) |
Central Composite Design Matrix (CCDM) for Phthalocyanine Reactive
Dyeing of Nylon Fiber: Process Analysis and Optimization |
| 저자(원어) |
K. Ravikumar, Byung-Soon Kim and Young-A Son |
| 저자(타언어) |
K. Ravikumar, Byung-Soon Kim and Young-A Son |
| 소속(원어) |
Chungnam National University |
| 소속(타언어) |
Chungnam National University |
| 시작/끝
페이지 |
19 ~ 28 총페이지 : 10 |
| 언어(원어) |
English |
| 초록 |
The objective of this study was to apply the statistical technique known as design of experiments to
optimize the % exhaustion variables for phthalocyanine dyeing of nylon fiber. In this study, a three-factor Central
Composite Rotatable Design (CCRD) was used to establish the optimum conditions for the phthalocyanine
reactive dyeing of nylon fiber. Temperature, pH and liquor ratio were considered as the variable of interest.
Acidic solution with higher temperature and lower liquor ratio were found to be suitable conditions for higher
% exhaustion. These three variables were used as independent variables, whose effects on % exhaustion were
evaluated. Significant polynomial regression models describing the changes on % exhaustion and % fixation with
respect to independent variables were established with coefficient of determination, R2, greater than 0.90. Close
agreement between experimental and predicted yields was obtained. Optimum conditions were obtained using
surface plots and Monte Carlo simulation techniques where maximum dyeing efficiency is achieved. The
significant level of both the main effects and interaction was observed by analysis of variance (ANOVA)
approach. Based on the statistical analysis, the results have provided much valuable information on the
relationship between response variables and independent variables. This study demonstrates that the CCRD could
be efficiently applied for the empirical modeling of % exhaustion and % fixation in dyeing. It also shows that it
is an economical way of obtaining the maximum amount of information in a short period of time with least
number of experiments. |
| 키워드 |
factorial design, optimization, statistical analysis, phthalocyanine reactive dye, nylon fi |
| 학회지 |
|
| Reference |
http://www.koreascience.or.kr/article/ArticleFullRecord.jsp?cn=OSGGBT_2008_v20n2_19 |
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