Ming Wang, Lisa Parrillo-Chapman, Lori Rothenberg, Yixin Liu, Jiajun Liu
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Digital Textile Ink-Jet Printing Innovation: Development and Evaluation of Digital Denim Technology
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.
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.