ABSTRACT
This paper describes the modeling of the color yield
(Fk) of 100% cotton fabric dyed with six selected
direct dyes (two from each groups of A, B and C)
using Taguchi and factorial experimental designs as
well as a response surface regression method. The
factors chosen were dye concentration, electrolyte
(sodium chloride) concentration, temperature and
time of dying. To conduct the tests using the Taguchi
approach, two levels were chosen for each factor.
After obtaining the data (Fk), the significant factors
were determined by an analysis of variance
(ANOVA). Then, the level of significant factors was
increased from two to three and the supplementary
tests were carried out using full factorial design.
ANOVA was applied again and, finally, the initial
response surface regression model was produced
considering the significant factors. After verifying the
validity of the initial models, the BOX-COX
transformation was implemented until the models
achieved validity.