Response Surface Methodology Approach for Ecological Dyeing Process Optimization of Polyester Fabric

Yıl 2024, Cilt: 29 Sayı: 2, 489 - 506, 30.08.2024

Tuba Toprak-çavdur , Tolga Çelik , Fatih Çavdur

https://doi.org/10.17482/uumfd.1437781

Öz

Properties of polyester fibers such as their hydrophobic structure, high crystallinity, and high attraction force between the macromolecules that make up the fibers create important restrictions on dyeing. In addition, the methods and chemicals used in dyeing polyester are harmful to the environment. In this study, in order to eliminate these limitations and develop a more environmentally friendly dyeing process, the dyeability of polyester with natural dye and the optimization of process parameters with response surface methodology were investigated. In this context, first of all, three levels based on the Box-Behnken experimental design were determined for the three factors of pH, temperature and time, and experimental studies were carried out on them. In the examinations carried out to create a meta model that could be used to predict different outcomes such as L*, a*, b*, C* depending on the experimental results, it was concluded that a second order (quadratic) model generally used in the literature was successful in predicting the corresponding results (𝑅2 ≥ 0.9) and it was observed that corresponding 𝑅2 approaches 0.99 in some of the designs. Similarly, it was noted that the we could predict the results of the experiments with a mean absolute error of 0.1720. In addition, theoretical optimal dyeing conditions were determined from the created model equations. The results showed that the pH-temperature and pH-time pairs were much more effective than the temperature and time in dyeing polyester, and also the high washing fastnesses obtained showed that this dyeing process could be used for sustainable dyeing in light-medium shades. Moreover, this study has the potential to save costs and time, too.

Anahtar Kelimeler

Artificial intelligence, experimental design, response surface methodology, meta-model, optimization, curcumin

POLİESTER KUMAŞIN EKOLOJİK BOYAMA İŞLEMİ OPTİMİZASYONU İÇİN YANIT YÜZEY METODOLOJİSİ YAKLAŞIMI

Öz

Poliester liflerinin hidrofobik yapısı, yüksek kristalinitesi, lifleri oluşturan makromoleküller arasındaki yüksek çekim kuvveti gibi özellikleri boyanmasında önemli kısıtlar oluşturur. Ayrıca, poliesterin boyanmasında kullanılan yöntem ve kimyasallar çevre için zararlıdır. Bu çalışmada, bu sınırlamaları ortadan kaldırmak ve daha çevre dostu boyama prosesi geliştirmek amacıyla, poliesterin doğal boya ile boyanabilirliği ve yanıt yüzey metodoloji ile işlem parametrelerinin optimizasyonu araştırılmıştır. Bu kapsamda öncelikle pH, sıcaklık ve süreden oluşan üç faktör için Box-Behnken deneysel tasarımından baz alınan üç seviye belirlenerek bunlara yönelik deneysel çalışmalar gerçekleştirilmiştir. Gerçekleştirilen deney sonuçlarına bağlı olarak L*, a*, b*, C* gibi farklı çıktıları tahmin etmek için kullanılabilecek bir meta model oluşturmak amacıyla yapılan incelemelerde, literatürde de genel olarak kullanılmakta olan ikinci dereceden bir modelin ilgili sonuçlarını tahmin etmede başarılı olduğu (𝑅2 ≥ 0,9) ve bazı tasarımlarda ilgili 𝑅2 değerlerinin 0,99 seviyelerine yaklaşmakta olduğu gözlenmiştir. Benzer şekilde bazı çıktılar için 0,1720 ortalama mutlak hatayla deney sonuçlarını tahmin edebildiği görülmektedir. Buna ek olarak, oluşturulan model denklemlerinden teorik optimal boyama koşulları tespit edilmiştir. Sonuçlar poliesterin boyanmasında pH-sıcaklık ve pH-süre ikililerinin, sıcaklık ve süreye göre çok daha etkili olduğunu ve ayrıca alınan yüksek yıkama haslıkları bu boyama prosesinin açık-orta tonlarda sürdürülebilir boyamalar için kullanılabileceğini göstermiştir. Ayrıca bu çalışmanın maliyet ve zaman tasarrufu sağlama potansiyeli de vardır.

Anahtar Kelimeler

Yapay zeka, deneysel tasarım, yanıt yüzey metodolojisi (YYM), meta-model, optimizasyon, curcumin

Teşekkür

Bu çalışmada desteğini esirgemeyen Basel Akdah’a teşekkürlerimizi sunuyoruz.

Kaynakça

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