Digital Textile Ink-Jet Printing Innovation: Development and Evaluation of Digital Denim Technology

IF 0.6 4区计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Journal of Imaging Science and Technology Pub Date : 2021-07-01 DOI:10.2352/j.imagingsci.technol.2021.65.4.040407

Ming Wang, Lisa Parrillo-Chapman, Lori Rothenberg, Yixin Liu, Jiajun Liu

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Abstract

Abstract This research explored the potential for ink-jet printing to replicate the coloration and finishing techniques of traditional denim fabric and standardized the reproduction and evaluation procedure. Although denim fabric is widely consumed and very popular, one drawback to denim is that the finishing and manufacturing processes are energy and water intensive and can cause environmental hazards as well as generation of pollution through water waste, particularly at the finishing stage. Textile ink-jet printing has the potential to replicate some of the coloration and finishing techniques of traditional denim fabric without negative environmental impacts. A two-phase research project was conducted. In Phase I (P1), an optimal standard production workflow for digital denim reproduction (including color and finishing effects) was established, and six different denim samples were reproduced based on the workflow. In Phase II, an expert visual assessment protocol was developed to evaluate the acceptance of the replicated digital denim. Twelve ink-jet printing, color science, and denim industry experts finished the assessment.

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数字纺织喷墨印花创新:数字牛仔技术的发展与评价

摘要:本研究探讨喷墨印刷复制传统牛仔布织物的着色和整理技术的潜力，并对复制和评价过程进行标准化。虽然牛仔布被广泛消费并且非常受欢迎，但牛仔布的一个缺点是整理和制造过程是能源和水密集型的，并且会造成环境危害以及通过水产生污染，特别是在整理阶段。纺织品喷墨印刷有可能复制传统牛仔布织物的一些着色和整理技术，而不会对环境产生负面影响。研究项目分两个阶段进行。在第一阶段(P1)中，建立了数字化牛仔布再现的最佳标准生产流程(包括颜色和整理效果)，并根据该流程再现了6种不同的牛仔布样品。在第二阶段，制定了专家视觉评估方案来评估复制数字牛仔布的接受程度。12位喷墨印刷、色彩学和牛仔布行业专家完成了评估。

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来源期刊

Journal of Imaging Science and Technology 工程技术-成像科学与照相技术

CiteScore

2.00

自引率

10.00%

发文量

审稿时长

>12 weeks

期刊介绍： Typical issues include research papers and/or comprehensive reviews from a variety of topical areas. In the spirit of fostering constructive scientific dialog, the Journal accepts Letters to the Editor commenting on previously published articles. Periodically the Journal features a Special Section containing a group of related— usually invited—papers introduced by a Guest Editor. Imaging research topics that have coverage in JIST include: Digital fabrication and biofabrication; Digital printing technologies; 3D imaging: capture, display, and print; Augmented and virtual reality systems; Mobile imaging; Computational and digital photography; Machine vision and learning; Data visualization and analysis; Image and video quality evaluation; Color image science; Image archiving, permanence, and security; Imaging applications including astronomy, medicine, sports, and autonomous vehicles.