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Predicting the crease recovery performance and tear strength of cotton fabric treated with modified N ‐methylol dihydroxyethylene urea and polyethylene softener
Author(s) -
Hussain Tanveer,
Ali Shaukat,
Qaiser Farhan
Publication year - 2010
Publication title -
coloration technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.297
H-Index - 49
eISSN - 1478-4408
pISSN - 1472-3581
DOI - 10.1111/j.1478-4408.2010.00255.x
Subject(s) - curing (chemistry) , factorial experiment , polyethylene , statistical analysis , tear resistance , statistical software , materials science , urea , composite material , pulp and paper industry , mathematics , chemistry , ultimate tensile strength , engineering , statistics , organic chemistry
This study aimed at developing a model for predicting the crease recovery performance and tear strength of cotton fabric using modified N ‐methylol dihydroxyethylene urea, polyethylene softener, catalyst, curing time and curing temperature as the predictor variables. A quarter factorial design was constructed and, based on the experimental results, regression models were built to predict crease recovery angle and tear strength of the treated fabric. All experimental design and statistical analysis steps were implemented, using Minitab statistical software.