452
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Performance Enhancement of the Digital Printed Cotton Fabric through Ecofriendly Finishes

ORCID Icon, ORCID Icon, , &
Pages 7996-8005 | Published online: 17 Aug 2021
 

ABSTRACT

Digital textile printing has emerged as a sustainable alternative to the conventional screen printing. Similar to other forms of coloration, digitally printed cotton fabric also needs finishing to overcome the inherent drawbacks of the cotton fabric. However, research on the finishing of the digital printed fabric is very limited and focused on non-sustainable finishes. In the first instance, this paper optimizes the recipe of the pre-printing process. Then, this paper investigates the performance of the digitally printed cotton fabric using three sustainable and formaldehyde free cross-linkers, three different softeners, C8-free oil and water repellent, and halogen free flame-retardant. This study applies these finishes on the steamed and non-steamed digitally printed fabric samples. The paper tests the performance of the finished digitally printed fabric in terms of key finishing properties. The results show that the proposed sustainable finishes have significantly improved the performance of the digitally printed fabric as compared to the reference non-finished digitally printed sample.

摘要

数字纺织品印花已成为传统丝网印花的可持续替代品. 与其他染色形式类似, 数码印花棉织物也需要整理以克服棉织物固有的缺点. 然而, 对数码印花织物整理的研究非常有限, 主要集中在不可持续的整理上. 首先, 本文优化了预印工艺配方. 然后, 本文研究了使用三种可持续的无甲醛交联剂, 三种不同的柔软剂, 无C8拒油拒水剂和无卤阻燃剂的数码印花棉织物的性能. 本研究将这些整理应用于蒸和非蒸数码印花织物样品. 本文测试了数码印花织物整理后的主要整理性能. 结果表明, 与未经整理的参考数码印花样品相比, 建议的可持续整理剂显著改善了数码印花织物的性能.

Disclosure Statement

The authors declare that there is no conflict of interest associated with this publication.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.