A study on the applicability of pigment digital printing on cotton fabrics

2021 ◽  
pp. 004051752199792
Author(s):  
Yi Ding ◽  
Wu Zhendong ◽  
Zhang Chuanxiong ◽  
Xiao Ruobai ◽  
Xue Wenliang
Keyword(s):  
Cotton Fabric ◽  
Evaluation Model ◽  
Great Influence ◽  
Principal Component ◽  
Cotton Fabrics ◽  
Digital Printing ◽  
Print Quality ◽  
Evaluation Indexes ◽  
Colorimetric Data ◽  
Digital Print

In digital printing, the fabric print quality can only be evaluated through the color and pattern of printed fabric after printing. The influence of the physical properties of fabric on the printing effect remains unclear. In this paper, the digital print suitability of cotton fabric was defined, and 14 samples of plain cotton fabrics were taken as research objects. In addition, 11 evaluation indexes of cotton fabrics were selected. The evaluation and prediction model of cotton fabric printability was established by principal component analysis. Furthermore, the prediction results of the model were verified by analyzing the colorimetric data of cotton fabric after printing. The result demonstrated that the evaluation model of printing suitability was applicable and can be used to quickly evaluate the printability of cotton fabrics. Particularly, fabric thickness had the greatest influence on printing permeability. In the case of moderate wicking, the higher the whiteness of cotton fabric, the better the color reproducibility after printing. Additionally, the wicking effect also had a great influence on color performance.

scholarly journals An Evaluation Model of Green Coal Supplier for Thermal Power Supply Chain Based on PCA-SVM

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Qian Zhang ◽  
Hai Shen ◽  
Yuanyuan Huo
Keyword(s):  
Supply Chain ◽  
Power Supply ◽  
Evaluation Model ◽  
Thermal Power ◽  
Principal Component ◽  
Calorific Value ◽  
Evaluation Index System ◽  
Support Vector ◽  
Supplier Evaluation ◽  
Evaluation Indexes

A thermal power supply chain differs from other supply chains in terms of supplier selection, materials transportation, products marketing, and so on. Therefore, the green coal supplier evaluation model has its own characteristics. Although many methods have been developed to solve the green supplier evaluation problem, little is known about how to evaluate the green coal supplier in the thermal power supply chain. To overcome this drawback, an evaluation index system for the green coal supplier is established, and new indexes such as price based on calorific value, quality indexes based on the designed coal type, and transportation indexes such as transportation carbon footprint and environment indexes are created according to the characteristic of the thermal power supply chain. Then, principal component analysis (PCA) is used to create the main evaluation indexes, and the support vector machine (SVM) is adopted for the evaluation model. Finally, a practical example is applied to show that the model established in this paper outperforms others in evaluation accuracy.

Research on Ink's Dot Area Percentage's Prediction in Digital Printing Based on Spectrum Analyzing

2013 ◽  
Vol 469 ◽  
pp. 340-343
Author(s):  
Chen Fei Zhao ◽  
Qing Han ◽  
Yong Chang Chen
Keyword(s):  
Prediction Model ◽  
Spectral Reflectance ◽  
Good Method ◽  
Normalization Method ◽  
Digital Printing ◽  
Short Version ◽  
Print Quality ◽  
Precise Control ◽  
Digital Print ◽  
Area Percentage

Digital printing can print directly the information which will be printed on the package box by digital print machine and internet or computer, which removes the procession of color separation, makeup, plate-making in the traditional printing. The digital print can print any number package box at any time and at any place, which can realize the variable data printing, and which has a price advantage in the short version printing. Therefore, digital printing is a good method for personalized packaging printing.In digital printing, color control is important for print quality detection. In this paper the dot area percentage of cyan, magenta, yellow ink can be predicted by measuring the color’s spectral reflectance in order to control the ink’s amount in digital print and realize the color’s precise control of cyan, magenta, yellow. In the prediction model of three color ink’s dot percentage, the characteristic of spectral reflectance curves for the various color ink is analyzed, and each ink’s high reflectivity and low reflectivity which is high correlation with the dot percentage is chosen and is calculated by normalization method in order to get each ink’s dot area percentage’ prediction model. At last by measuring the paper’s spectral reflectance and the using normalization method, paper’s color can be described, and the effect of paper on monochrome color ink’s dot area percentage can be analyzed. The research has important significance for packing box’s digital printing’s color high-fidelity reproduction.

scholarly journals Eco-Friendly Procedure for Rendering the Antibacterial and Antioxidant of Cotton Fabrics via Phyto-Synthesized AgNPs With Malva sylvestris (MS) Natural Colorant

2022 ◽  
Vol 9 ◽  
Author(s):  
Mousa Sadeghi-Kiakhani ◽  
Ali Reza Tehrani-Bagha ◽  
Fateme Sadat Miri ◽  
Elaheh Hashemi ◽  
Mahdi Safi
Keyword(s):  
Cotton Fabric ◽  
Cotton Fabrics ◽  
Fastness Properties ◽  
Light Fastness ◽  
Ultrasound Technique ◽  
Natural Colorant ◽  
Malva Sylvestris ◽  
Colorimetric Data ◽  
Cellulose Fabrics ◽  
Positive Effect

There is a growing interest for producing multifunctional cellulose fabrics using green and sustainable technology. In this study, we explored an eco-friendly procedure for dyeing cotton fabrics with Malva sylvestris (MS) as a natural colorant and rendering antibacterial cotton fabric by the silver nanoparticles. MS colorants were extracted from dried petals in water using the ultrasound technique, cotton fabrics were dyed with the extracted MS colorant at 100°C for 90 min. The colorimetric data and colorfastness properties were investigated in the absence and presence of tannic acid (TA) as a bio-mordant. Results indicated that MS dye had a high potential for reducing the silver nitrate, so that the silver particle size distribution on cotton fabric was obtained 50–80 nm, and TA had a positive effect on the MS extract and reduced Ag on the cotton. Furthermore, the reduction of bacterial growth of the dyed cotton considerably (up to 99%) improved by AgNPs. The wash-, and light-fastness properties of samples dyed with MS were enhanced from moderate to good-very good by mordanting.

scholarly journals Established an eco-friendly cotton fabric treating process with enhancing anti-wrinkle performance

2021 ◽  
Vol 16 ◽  
pp. 155892502110034
Author(s):  
Xiongfang Luo ◽  
Pei Cheng ◽  
Wencong Wang ◽  
Jiajia Fu ◽  
Weidong Gao
Keyword(s):  
Tensile Strength ◽  
Citric Acid ◽  
Cotton Fabric ◽  
Crosslinking Agent ◽  
Cost Effective ◽  
Waterborne Polyurethane ◽  
Cotton Fabrics ◽  
Wrinkle Resistance ◽  
Before And After ◽  
Strength Retention

This study establishes an eco-friendly anti-wrinkle treating process for cotton fabric. Sodium hydroxide-liquid ammonia pretreatment followed by 6% (w/w) PU100 adding citric acid pad-cure-dry finishing. In this process, citric acid (CA) was used as the fundamental crosslinking agent during finishing because it is a non-formaldehyde based, cost-effective and well wrinkle resistance agent. Environmental-friendly waterborne polyurethane (WPU) was used as an additive to add to the CA finishing solution. Six commercial WPUs were systematically investigated. Fabric properties like wrinkle resistance, tensile strength retention, whiteness, durable press, softness, and wettability were well investigated. Fourier transform infrared spectra and X-ray diffraction spectra were also measured and discussed before and after adding waterborne polyurethane. Tentative mechanism of the interaction among the WPU, CA, and modified cotton fabrics is provided. The effect of cotton fabric pretreatment on fabric performance was also investigated. After the eco-process’s treatment, the fabric wrinkle resistant angle was upgraded to 271 ± 7°, tensile strength retention was maintained at 66.77% ± 3.50% and CIE whiteness was elevated to 52.13 ± 3.21, which are much better than the traditional CA anti-wrinkle finishing based on mercerized cotton fabrics. This study provides useful information for textile researchers and engineers.

Spatial clustering analysis of green economy based on knowledge graph

2021 ◽  
pp. 1-10
Author(s):  
Shiyuan Zhou ◽  
Xiaoqin Yang ◽  
Qianli Chang
Keyword(s):  
Spatial Data ◽  
Clustering Analysis ◽  
Spatial Clustering ◽  
Evaluation Model ◽  
Principal Component ◽  
Green Economy ◽  
Membership Degree ◽  
Two Dimensional ◽  
Dimensional Graph ◽  
Improved Algorithm

By organically combining principal component analysis, spatial autocorrelation algorithm and two-dimensional graph theory clustering algorithm, the comprehensive evaluation model of regional green economy is explored and established. Based on the evaluation index system of regional green economy, this paper evaluates the development of regional green economy comprehensively by using principal component analysis, and evaluates the competitive advantage of green economy and analyzes the spatial autocorrelation based on the evaluation results. Finally, the green economy and local index score as observed values, by using the method of two-dimensional graph clustering analysis of spatial clustering. In view of the fuzzy k –modes cluster membership degree measure method without considering the defects of the spatial distribution of object, double the distance and density measurement of measure method is introduced into the fuzzy algorithm of k –modes, thus in a more reasonable way to update the membership degree of the object. Vote, MUSH-ROOM and ZOO data sets in UCI machine learning library were used for testing, and the F value of the improved algorithm was better than that of the previous one, indicating that the improved algorithm had good clustering effect. Finally, the improved algorithm is applied to the spatial data collected from Baidu Map to cluster, and a good clustering result is obtained, which shows the feasibility and effectiveness of the algorithm applied to spatial data. Results show that the development of green economy using the analysis method of combining quantitative analysis and qualitative analysis, explores the connotation of green economy with space evaluation model is feasible, small make up for the qualitative analysis of the green economy in the past, can objective system to reflect the regional green economic development level, will help policy makers scientific formulating regional economic development strategy, green integrated development of regional green economy from the macroscopic Angle, the development of network system.

Durable Antibacterial Finish on Cotton Fabrics with PAMAM/Ag+

2011 ◽  
Vol 332-334 ◽  
pp. 77-80 ◽  
Author(s):  
Chuan Jie Zhang ◽  
Hong Yang ◽  
Yun Liu ◽  
Ping Zhu
Keyword(s):  
Cotton Fabric ◽  
Antibacterial Agent ◽  
Antibacterial Property ◽  
Breaking Strength ◽  
Antibacterial Properties ◽  
Pamam Dendrimers ◽  
Cotton Fabrics ◽  
E Coli ◽  
Strength Retention ◽  
Better Than

Cotton fabric with excellent antibacterial properties was obtained by treated with polyamide-amine (PAMAM) dendrimers as a carrier and silver nitrate as an antibacterial agent. The antibacterial cotton fabrics were prepared by the methods of one-bath process and two-bath process. Antibacterial activity of cotton fabrics treated by two different methods was good, but the antibacterial durability of cotton fabric treated with two-bath process was better than that treated with one-bath process. After 50 washing cycles, cotton fabric treated with two-bath process still had good antibacterial property and its inhibitory rate to Gram-positive S. aureus and Gram-negative E. coli was over 99 %. It was found that the breaking strength retention of finished cotton fabrics was 85.83 % and the decrease of cotton fabrics’ whiteness index was about 15 %.

Study on the Enzyme Desizing Process for Cotton Fabric Using Ultrasonication

2011 ◽  
Vol 331 ◽  
pp. 261-264 ◽  
Author(s):  
Qi Ming Zhao ◽  
Shan Yan Zhang
Keyword(s):  
Cotton Fabric ◽  
Ph Value ◽  
Orthogonal Experiment ◽  
Research Result ◽  
Strength Loss ◽  
Cotton Fabrics ◽  
Optimum Process ◽  
Process Conditions ◽  
Fabric Strength ◽  
Enzyme Dosage

The auxiliary devices of ultrasonic treatment was designed and manufactured. The cotton fabric was desized using 2000L desizing enzyme with the conventional enzyme desizing process and ultrasonic enzyme desizing process respectively. Through the orthogonal experiment, the optimum process conditions of conventional enzyme desizing process and ultrasonic enzyme desizing process were determined. For the conventional enzyme desizing process, the optimized desizing conditions of cotton fabrics were: desizing enzyme dosage was 1.5g/l, temperature was 80°C, PH value was 6, and time was 60mins. The optimum process conditions of ultrasonic enzyme desizing process were: desizing enzyme dosage was 1.5g/l, temperature was 50°C, PH value was 6 and time was 45minutes. The research result indicates that, under the same desizing condition, ultrasonication can improve the desizing percentage and whiteness of cotton fabric, but the fabric strength loss increases slightly. And for the same required desizing percentage, the ultrasonic enzyme desizing process saved time and reduced the temperature of experiments compared with traditional enzyme desizing process

Smart control of cotton fabric comfort by cross-linking thermo-responsive poly(2-(2-methoxyethoxy) ethoxyethyl methacrylate-co-ethylene glycol methacrylate)

2016 ◽  
Vol 87 (13) ◽  
pp. 1620-1630 ◽  
Author(s):  
Yangyi Chen ◽  
Jie An ◽  
Qi Zhong ◽  
Peter Müller-Buschbaum ◽  
Jiping Wang
Keyword(s):  
Ethylene Glycol ◽  
Cotton Fabric ◽  
Random Copolymer ◽  
Cotton Fabrics ◽  
Molar Ratio ◽  
Cross Linking ◽  
Glycol Methacrylate ◽  
Moisture Permeability ◽  
Smart Control ◽  
Fabric Comfort

The smart control of cotton fabric comfort by cross-linking thermo-responsive random copolymer is investigated. The monomers 2-(2-methoxyethoxy) ethoxyethyl methacrylate (MEO2MA) and ethylene glycol methacrylate (EGMA) with a molar ratio of 17:3 are selected to synthesize the thermo-responsive random copolymer poly(2-(2-methoxyethoxy) ethoxyethyl methacrylate- co-ethylene glycol methacrylate), abbreviated as P(MEO2MA- co-EGMA). By using citric acid as a cross-linking agent, the obtained P(MEO2MA- co-EGMA) is successfully immobilized onto cotton fabrics. Smart control is achieved from the thermo-responsive behavior of the copolymer. Cross-linked P(MEO2MA- co-EGMA) will collapse when the ambient temperature exceeds its transition temperature. Therefore, the formerly compact P(MEO2MA- co-EGMA) layer will switch to a porous structure, and the air/moisture permeability of the textiles is enhanced. As the comfort of the textiles is closely related to the air/moisture permeability, a smart control of the cotton fabric comfort can be realized. In addition, the softness of cotton fabrics with and without thermo-responsive polymers does not show a prominent change, even when the applied solution concentration is as high as 16% (wt%). On the contrary, the stiffness of the cotton fabric coated with poly( N-isopropylacrylamide) (PNIPAM) is significantly higher than the original cotton fabric, indicating that homo PNIPAM is less suitable for textiles used in daily lives. Moreover, the whiteness and mechanical properties are studied and stay unchanged after cross-linking. As a consequence, the introduction of P(MEO2MA- co-EGMA) into textiles can provide textiles with smart control of cotton comfort, and it will not influence the wearabilities of the textiles.

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