Prediction of pilling grade of alkali-treated regenerated cellulosic fabric using fuzzy inference system

Lekha Priya Muthusamy, Aravin Prince Periyasamy (Corresponding Author), Nalankilli Govindan

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)

Abstract

Fabric pilling is formed due to the entanglement of fibers during mechanical actions including abrasion, domestic washing process, and wearing cycles. Pilling resistance is one of the important aesthetic property of fabrics controlling the appearance of fabric quality. Pilling can be controlled by different methods; alkali treatment is one of the methods for the lyocell fabric. In this study, the prediction of pilling resistance on the alkali treated lyocell fabric has been done through a fuzzy inference system (FIS). In general, conventional pilling measurements has some hindrance due to human error and time consuming. This work utilizes the algorithm to provide accurate quantitative values of pilling grades. The correlation coefficient ‘r’ between predicted and experimental values shows 0.93 for TmAH and 0.81 for NaOH treatments. The forecast between experimental and predicted data sets of pilling grades were evaluated by mean absolute percentage error (MAPE) method and observed the values for NaOH, KOH, LiOH, and TmAH treatments as 16.6%, 18.87%, 21.09%, and 8.72% respectively.
Original languageEnglish
Pages (from-to)2759-2769
JournalJournal of the Textile Institute
Volume113
Issue number12
DOIs
Publication statusPublished - 2 Dec 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Alkali treatment
  • fabric quality
  • fibrillation
  • Lyocell
  • pilling resistance
  • Tencel
  • textural appearance

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