Effects of Phosphatidylcholine/Cholesterol Liposome-Assisted Dyeing on Woolen Fabric Properties

2019 ◽  
pp. 1-17 ◽  
Author(s):  
Gülşah Ekin Kartal ◽  
Ayşe Merih Sarıışık ◽  
Gökhan Erkan ◽  
Evrim Aslı Öztürk ◽  
Bahar Öztürk
Keyword(s):  
1999 ◽  
Vol 82 (3) ◽  
pp. 683-688 ◽  
Author(s):  
Zorana Grabaric ◽  
Ljerka Bokic ◽  
Branka Stefanovic

Abstract The Schiff base 2-(2-pyridylmethyieneamino)phenol (PMAP) was investigated as a spectrophotometric reagent for determination of iron in caustic soda, cotton yarn and fabric, woolen fabric, and industrial water. The solution properties of Fe(III)-PMAP complexes were determined. At pH 4.4 and 5.6, Fe(III) forms stable complexes with PMAP, with molar absorption coefficients (ε) of 3.00 × 103 and 7.44 × 103/M.cm, respectively. Composition and cumulative stability constants were determined by the mole ratio method (MRM) and the mole fraction variation method (MFVM). At the lower pH (4.4), the predominant complex species in the solution obtained with both methods are ML2, with fairly good agreement of stability constants: log βML2 = 7.00 ± 0.04 with MRM and 7.31 ± 0.01 with MFVM. At the higher pH (5.6), the composition and stability constants of predominant complex species in the solution obtained with the 2 methods were not in good agreement, perhaps because of the coexistence of several species, such as Fe-PMAP, Fe-hydroxo, and Fe-acetate complexes. PMAP is a sensitive reagent for determination of Fe(III). The detection limit of 0.4 μg/mL is lower than those of other frequently used spectrophotometric reagents for Fe. The reagent is ecologically more acceptable, because extraction with organic solvents is avoided. All measurements were made at pH 5.6 because sensitivity was higher at this pH. The high Fe values obtained for industrial water (31.8 μg/mL) indicate that some modifications in the process have to be done. Concentration of Fe in wastewater was much lower (15.9 μg/mL). The results for cotton and woolen fabric indicate that accumulation of Fe in wool is much higher than in cotton (84.4 μg/mL and 29.3-53.1 μg/mL, respectively).


1988 ◽  
Vol 44 (9) ◽  
pp. 465-474
Author(s):  
Masashi Kobayashi ◽  
Motoi Minagawa

2013 ◽  
Vol 25 (4) ◽  
pp. 1956-1964 ◽  
Author(s):  
Mahmure Üstün Özgür ◽  
Zühal Ögütgen Açikgöz ◽  
Burcu Yilmaz Sahinbaskan ◽  
Gülsah Gümrükçü

2011 ◽  
Vol 332-334 ◽  
pp. 1143-1153
Author(s):  
Yong Hui Pan ◽  
Fang Bao ◽  
Mao Gang Wu

By extracting five kernel principal components of fabric FAST (Fabric Assurance by Simple Testing) low mechanical data, this paper proposed a supervised fuzzy clustering radial basis function neural network to construct fabric sewability prediction system. Our experimental results demonstrate that the proposed system could efficiently be used as an objective seam pucker evaluation system with high accuracy and is robust for various structures and mechanical properties of middle-thickness woolen fabric.


1971 ◽  
Vol 64 (2) ◽  
pp. 530-533 ◽  
Author(s):  
Roy E. Bry ◽  
N. M. Dennis ◽  
Joe H. Lang
Keyword(s):  

Author(s):  
Mi Li ◽  
Shaofeng Yuan ◽  
Qili Zhong ◽  
Yahui Guo ◽  
Yuliang Cheng ◽  
...  

2015 ◽  
Vol 671 ◽  
pp. 460-465
Author(s):  
Juan Fen Jiang ◽  
Chen Dai ◽  
Hong Yan Liu ◽  
Qiu Ping Zhang ◽  
Yue Qi Zhong

The technology of 3D garment virtual sewing has been developed for several decades, we proposed an approach to verify the virtual garments sewing effect. Here we took a sleeveless dress for our example, and the patterns of the dresses are made by expertise garment CAD software. The dresses patterns are used for two options. The first is for actual cutting and sewing. The second is for virtual sewing. The actual sleeveless dress is made by woolen fabric for our experiment. The parameters of the fabric mechanical properties in virtual sewing should be selected the same with the actual fabric. The fabric properties in this paper are mainly referred to shear property, tensile property and bearing property. We observe the surface shape of the finished dresses, compare the differences between the true and virtual sewing, and find the modified approach. Gray scale transformation and binary image processing are exploited for appearance comparison between real and simulated clothes sewn by the same 2D patterns. Folds and silhouettes comparison are main two features in our proposed approach. The sum of the squared differences is calculated for folds comparison, and the mismatches pixels are computed for silhouettes comparison. The aim of our research is proposed for forecasting the ready-made clothes which are made by given patterns, and check whether it is meet the requirement of the clients or not.


2018 ◽  
Vol 19 (9) ◽  
pp. 1887-1897 ◽  
Author(s):  
Meliha Oktav Bulut ◽  
Nurul Huda Sana

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