Abstract

The seersucker effect is formed when stripes on a cotton cloth shrink, and as a result the nonshrink parts are forced to take up
a wavy form. Printing stripes on cotton cloth with pastes containing sodium hydroxide is one method of producing this effect.
Until now, seersucker effect has been assessed quantitatively by measuring the percentage shrinkage of the shrunk parts.
In this study, two algorithms, namely, spectral density function and angular power spectrum function, are presented. These
algorithms are capable of assessing the three-dimensional seersucker effect qualitatively and are far superior to percentage
shrinkage method. Various seersucker effects were produced by choosing different conditions for some major independent
variables, such as sodium hydroxide concentration, fabric pretreatment, weft density, and the kind of weft yarn. These were
successfully analyzed by the algorithms qualitatively.
 

Keywords: cotton cloth; seersucker effect; sodium hydroxide; spectral density function; angular power spectrum function