자료유형  

 학위논문

Control Number  

0016935192

International Standard Book Number  

9798380715928

Dewey Decimal Classification Number  

001

Main Entry-Personal Name  

Saha, Kowshik.

Publication, Distribution, etc. (Imprint  

[S.l.] : North Carolina State University., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(203 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-05, Section: B.

General Note  

Advisor: Saloni, Daniel;Barletta, Kristin;Benitez, Nelson Vinueza;Parrillo-Chapman, Lisa.

Dissertation Note  

Thesis (Ph.D.)--North Carolina State University, 2023.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약Digital textile printing (DTP), when compared to traditional screen printing, enables faster speeds to market, improved sustainability (Haque, 2021), and ability to print short runs more cost effectively. Unlike traditional printing, DTP is a non-contact printing technology that employs specialized printheads that jet the colorant onto the substrate. Therefore, image formation in DTP depends on physicochemical phenomena such as ink drop spreading and ink penetration (Kaimouz, 2009). The spread and penetration of the ink drop are influenced by various factors such as substrate properties (yarn properties, fabric structure), ink properties (surface tension, viscosity), and substrate pretreatment (physio-chemical characteristics of dyefiber interactions), and post-treatments (fixation mechanism) (Liu et al., 2020; Faisal et al., 2018; Carr et al., 2002; Yang et al., 2003). An understanding of the factors that impact porous structure penetration is critical in understanding how to improve and control print performance. (Kaimouz, 2009). Design of experiment (DOE) and statistical analysis are robust tools to design controlled experiments and determine the relationship between factors and outcomes. These methodologies have been used extensively in the paper industry to model ink penetration, helping to improve print performance by predicting ink penetration quantitatively (Yang et al., 2001). However, only a few studies focused on prediction modeling for ink penetration on textiles (cotton, linen, silk). Furthermore, those studies only considered pre and post-treatment factors (Faisal et al., 2018, 2021, Kaimouz, 2009). To gain a better understanding of ink penetration on textile substrates, this research aimed to identify significant factors in the properties of substrates, ink limiting%, and the pre-post treatments before developing reactive ink penetration prediction models for Cyan, Magenta, Yellow, and Black colors on digitally printed 100% cotton plain woven fabric.This study accomplished these aims by using a three-phase approach. In Phase 1, a comprehensive literature review, informal industry interviews, and observations of the digital printing process were performed to identify critical factors that impacted reactive ink penetration on 100% cotton plain-woven fabric. Phase 2 developed a design of experiment (DOE) and conducted experiments to measure reactive ink penetration based on critical factors (substrate, pre-post treatment, ink-limiting %) that were identified in Phase 1. Finally, in phase 3, statistical analysis was performed for the DOE findings to determine significant factor impacts and their interactions to eliminate the non-critical factors. Multiple linear regression (MLR) analysis for explanatory models and machine learning for predictive modeling was employed following the DOE analysis to build prediction models for C, M, Y, and K. The adequacy of the model was determined using analysis of variance (ANOVA), residual plots, and adjusted R2 (corrected goodness of fit) values. Further, predictive modeling and model validation were accomplished by conducting a k-cross-fold (5 and 10 folds) validation method. Therefore, besides identifying the significant factors and interactions that influenced reactive ink penetration, this research developed prediction models for C, M, Y, and K to predict reactive ink penetration quantitatively, which can be significantly valuable for planning various processes for inkjet printing of 100% cotton plain-woven fabric in practical situations. This study also optimized the ink penetration% and color strength (K/S) on 100% cotton woven fabric using reactive inks for c, M, Y, K. To summarize, the results of this study offer essential knowledge for improving the ink penetration% and color strength (K/S) when digitally printing textiles on 100% cotton plain woven fabric. Additionally, the approach and methods used in this study can serve as a valuable reference for future research in this area and support the advancement of more effective, economic, and environmentally friendly processes for digital textile printing.

Subject Added Entry-Topical Term  

Software.

Subject Added Entry-Topical Term  

Color.

Subject Added Entry-Topical Term  

Chemistry.

Subject Added Entry-Topical Term  

Research & development--R&D.

Subject Added Entry-Topical Term  

Printers.

Subject Added Entry-Topical Term  

Contact angle.

Subject Added Entry-Topical Term  

Technology.

Subject Added Entry-Topical Term  

Dyes.

Subject Added Entry-Topical Term  

Pigments.

Subject Added Entry-Topical Term  

Viscosity.

Subject Added Entry-Topical Term  

Yarn.

Subject Added Entry-Topical Term  

Cotton fabrics.

Subject Added Entry-Topical Term  

Rheology.

Subject Added Entry-Topical Term  

Cellulose.

Subject Added Entry-Topical Term  

Sodium.

Subject Added Entry-Topical Term  

Nozzles.

Subject Added Entry-Topical Term  

Design.

Subject Added Entry-Topical Term  

Screen printing.

Subject Added Entry-Topical Term  

Industrial engineering.

Subject Added Entry-Topical Term  

Physics.

Subject Added Entry-Topical Term  

Textile research.

Added Entry-Corporate Name  

North Carolina State University.

Host Item Entry  

Dissertations Abstracts International. 85-05B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:643886