Color Prediction for Weft-All-Coloring Jacquard Fabric Based on the Two-Constant Kubelka-Munk Theory

2011 ◽  
Vol 418-420 ◽  
pp. 2278-2281 ◽  
Author(s):  
Hua Zhou ◽  
Chun Yan Wang ◽  
Jiu Zhou
Keyword(s):  
Color Difference ◽  
Weft Yarn ◽  
Absorption Coefficients ◽  
Scattering Coefficients ◽  
Fabric Structure ◽  
Color Prediction ◽  
Fabric Structures ◽  
Fitting Error

Weft-all-coloring jacquard fabric is smoother and plentiful. It looks stereoscopic impression. Because of complex fabric structures, color designing of jacquard fabric still remains a problem to be solved. In addition, there have not ideal colorful model to predict jacquard fabric structure. In view of the above problems, this study use four primary samples that red, yellow, green are used in weft yarn and white is used in warp to prepare many weft-all-coloring jacquard fabric of single-warp and double-weft. Though a large number of experimental color about a data-color 600 plus spectrophotometric, the theory of Kubelka-Munk absorption coefficients (K) and scattering coefficients (S) of all yarns and the color proportion of weft were calculated for jacquard fabric. The results indicate that the color difference is 1.5 CIELAB units, and the fitting error of the yarn’s proportion is about 2.1%. It shows that the two-constant Kubelka-Munk theory is suitable for predicting the color of weft jacquard fabric with all-coloring and color proportion.

scholarly journals Effect of Fabric Structure and Weft Density on the Poisson's Ratio of Worsted Fabric

2013 ◽  
Vol 8 (2) ◽  
pp. 155892501300800 ◽  
Author(s):  
Nazanin Ezaz Shahabi ◽  
Siamak Saharkhiz ◽  
S. Mohammad Hosseini Varkiyani
Keyword(s):  
Poisson’S Ratio ◽  
Uniaxial Extension ◽  
Poisson's Ratio ◽  
Weft Yarn ◽  
Combination Effect ◽  
Weft Direction ◽  
Weave Structure ◽  
Fabric Structure ◽  
Fabric Structures ◽  
High Linear Correlation

This paper investigates the impacts of weave structures and weft density on the Poisson's ratio of worsted fabric under uniaxial extension. In this study nine groups of worsted fabrics comprising of three weave structures (twill 2/2, twill 3/1 and hopsack 2/2), each produced in three different weft densities were examined. Samples were extended in weft direction uniaxially and the Poisson's ratio of fabric in various extensions was measured. Analysis showed that the effect of both weft density and weave structure are significant with no combination effect on the Poisson's ratio. It was found that there is an exponential correlation between warp and weft crimp during fabric extension. For the worsted fabrics used in this research in all three fabric structures, fabrics with higher weft yarn density have higher value of Poisson's ratio. It was also concluded that for the fabrics with the same condition but only different in structures, this ratio is related to the structural firmness of fabric. In all three fabric structures the value of the Poisson's ratio were following the same pattern of twill 2/2, twill 3/1 and hopsack 2/2 from highest to lowest value. It was revealed that there is a high linear correlation between the crimp interchange ratio and Poisson's ratio.

Recognition and re‐visualization of woven fabric structures

2010 ◽  
Vol 22 (2/3) ◽  
pp. 79-87 ◽  
Author(s):  
Pranut Potiyaraj ◽  
Chutipak Subhakalin ◽  
Benchaphon Sawangharsub ◽  
Werasak Udomkichdecha
Keyword(s):  
Geometrical Model ◽  
Woven Fabric ◽  
Weft Yarn ◽  
Cross Sectional ◽  
Content Type ◽  
Fabric Structure ◽  
Digital Format ◽  
Fabric Structures ◽  
Weave Pattern ◽  
Virtual Reality Modelling

PurposeThe purpose of this paper is to develop a computerized program that can recognize woven fabric structures and simultaneously use the obtained data to 3D re‐visualize the corresponding woven fabric structures.Design/methodology/approachA 2D bitmap image of woven fabric was initially acquired using an ordinary desktop flatbed scanner. Through several image‐processing and analysis techniques as well as recognition algorithms, the weave pattern was then identified and stored in a digital format. The weave pattern data were then used to construct warp and weft yarn paths based on Peirce's geometrical model.FindingsBy combining relevant weave parameters, including yarn sizes, warp and weft densities, yarn colours as well as cross‐sectional shapes, a 3D image of yarns assembled together as a woven fabric structure is produced and shown on a screen through the virtual reality modelling language browser.Originality/valueWoven fabric structures can now be recognised and simultaneously use the obtained data to 3D re‐visualize the corresponding woven fabric structures.

Color prediction model for hybrid multifilament fabric

2021 ◽  
pp. 004051752110471
Author(s):  
Yujuan Wang ◽  
Wengang Li ◽  
Jun Wang
Keyword(s):  
Pearson Correlation ◽  
Color Difference ◽  
Color Measurement ◽  
Gray Histogram ◽  
Fabric Structure ◽  
Calculation Results ◽  
Iteration Model ◽  
Color Prediction ◽  
Fabric Surface ◽  
The Relationship

In order to facilitate the design of a hybrid filament before spinning, a k-m (Kubelka-Munk) iteration model was proposed, which was based on the calculation method for reflectance of a translucent object and needed to be used in conjunction with a fabric model that can reflect the arrangement order of monofilaments. Therefore, the model can not only calculate the color of each point on the fabric surface, but also the mixed color of the fabric. Twenty fabrics with five different blending ratios of black monofilaments and white monofilaments, four multifilament fineness and three fabric weave types were woven. The relationship between the gray distribution of all points on the fabric surface captured by the camera in a DigiEye colorimeter and calculated by the k-m iteration model was analyzed, and the color difference between the mixed color of the fabric tested by the Datacolor spectrophotometer and that calculated by the k-m iteration model was calculated. The results show that the intersection distance and Pearson correlation coefficient between the gray histogram of the photographed fabric image and that of the calculated fabric image were 0.79 and 0.89, respectively. The average color difference obtained by the k-m iteration model was 0.92 Color Measurement Committee (2:1) units, which was best compared with the calculation results of other models. By discussing the fabric structure parameters causing the lightness difference, it was concluded that the calculated lightness was smaller than the measured lightness difference for fabric with a longer float length, smaller multifilament fineness and a larger black monofilament blending ratio.

scholarly journals Evaluation of Bed Cover Properties Produced from Double Fabric Based on Honeycomb

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
A. A. Salama ◽  
A. S. El-Deeb ◽  
I. M. El-shahat
Keyword(s):  
Thermal Comfort ◽  
Water Vapour ◽  
Thermal Insulation ◽  
Abrasion Resistance ◽  
Air Permeability ◽  
Weft Yarn ◽  
Vapour Permeability ◽  
Geometrical Properties ◽  
Fabric Structure ◽  
Air Pockets

This research aims to innovate a new fabric structure, which could be used as a bed cover based on double honeycomb fabric with self-stitching. The honeycomb air pockets were aimed at facing each other to form closed small air chambers which work to sequester the air. The double fabric increases fabric thickness. Thus, the opportunity to improve thermal comfort could be achieved. A number of samples were produced with different densities and counts of weft yarn. Thermal insulation and water vapour permeability were measured and compared with bed covers produced from reversible weft backed structure. Geometrical properties, abrasion resistance, and air permeability were also measured. The results showed that the innovated structure had higher values of thermal insulation than reversible weft backed structure at certain weft counts and densities.

Improvement of Thermal Conductivity for Carbon Fabric Composites Base on the Fabric Structure

2021 ◽  
Vol 1037 ◽  
pp. 161-166
Author(s):  
Phone Thant Kyaw ◽  
Pyae Phyo Maung ◽  
Galina V. Malysheva
Keyword(s):  
Thermal Conductivity ◽  
Thermal Analysis ◽  
Thermal Load ◽  
Thermal Conduction ◽  
Thermal Calculation ◽  
Carbon Fabric ◽  
Fabric Structure ◽  
Fabric Composites ◽  
Load Calculation ◽  
Fabric Structures

This paper presents the development of methods for improving the thermal conductivity of fiber reinforcing materials based on the fabric structures. The thermal analysis of fabric structure in thermal load calculation is performed by Fourier’s Law of Thermal Conduction and Steady-State Thermal calculation in Siemens NX. This study leads to the development of thermal conductivity in manufacturing technology of fiber reinforcing materials. Keywords: Thermal conductivity, fabric structure, polymer composite materials

scholarly journals Influence of Abundances Upon Stellar Atmosphere Calculations

1976 ◽  
Vol 72 ◽  
pp. 3-15
Author(s):  
B. Baschek
Keyword(s):  
Model Atmosphere ◽  
Stellar Atmosphere ◽  
Theoretical Spectrum ◽  
Differential Analysis ◽  
Absorption Coefficients ◽  
Quantitative Classification ◽  
Element Abundances ◽  
Scattering Coefficients ◽  
Basic Equations ◽  
Bolometric Correction

The basic equations for constructing a stellar atmosphere (hydrostatic equilibrium, flux constancy, radiative transfer, convective instability) are briefly summarized. While the parameters Teff (effective temperature) and g (surface gravity) are directly contained in these equations, the element abundances ∈i enter only indirectly through the thermodynamic properties (such as electron pressure, entropy, …) and the absorption and scattering coefficients of stellar matter.The equation of state, convection, the effects of the absorption coefficients (particularly of line absorption) on the temperature stratification, and the role of velocity fields (microturbulence) are discussed in some detail, emphasizing their dependence on the abundances.From a given model atmosphere, a ‘theoretical spectrum’ (colours, bolometric correction, line strengths etc.) can be calculated. The (relative) fluxes emerging at the surface are essentially determined by the temperature gradient and the absorption coefficients at the frequencies under consideration. The basic goal of quantitative classification, however, is the inverse problem, namely to deduce the stellar parameters from selected observed spectral criteria. Aspects relevant to this problem such as the question of uniqueness and the occurrence of possible systematic errors (even when using differential analysis techniques) are briefly sketched and illustrated by some examples.

scholarly journals Thermal Behavior of Worsted Fabrics Produced from Different Yarn Spinning Systems

2013 ◽  
Vol 8 (3) ◽  
pp. 155892501300800 ◽  
Author(s):  
Abolfazl Mirdehghan ◽  
Siamak Saharkhiz ◽  
Hooshang Nosraty
Keyword(s):  
Thermal Conductivity ◽  
Thermal Properties ◽  
Thermal Behavior ◽  
Thermal Insulation ◽  
Weft Yarn ◽  
Spun Yarn ◽  
Finishing Process ◽  
Yarn Structure ◽  
Fabric Structures ◽  
The Impact

This paper describes an experimental study of the impact of yarn structure on the thermal properties of worsted fabric. In this study, four different spun yarn structures (Solo, Siro, and single ply and two ply Ring) were woven into four fabric structures (Plain, Twill2/1, Twill2/2 and Basket2/2) and their thermal properties were studied. In addition, the thermal behavior of finished and unfinished samples was also evaluated. Results showed that the finishing process causes an increase in thermal conductivity and warmth to weight factor and a decrease in thermal insulation. Different spinning systems, also affect the thermal properties of the worsted fabrics. Samples with Siro yarns in the weft were found to have the highest thermal conductivity and those made from single ply weft yarn the lowest thermal conductivity. A relation between fabric thermal insulation and air permeability and thickness was also found.

Effect of weave structure on the slicing cut resistance of woven fabrics

2019 ◽  
Vol 90 (13-14) ◽  
pp. 1477-1494
Author(s):  
Magdi El Messiry ◽  
Shaimaa El-Tarfawy
Keyword(s):  
High Performance ◽  
Normal Load ◽  
Cutting Speed ◽  
Woven Fabrics ◽  
Woven Fabric ◽  
Weft Yarn ◽  
Fabric Structure ◽  
Yarn Count ◽  
Highly Correlated ◽  
Cutting Processes

Cutting processes using blades have found applications in many industries; for example, in garments, fiber–polymer composites, and high-performance fabric forming. In recent decades, the process of cutting the material using a robotic-controlled blade has raised concern about the value of the pressure and the cut force required for a certain type of woven fabric and the estimation of its value before the pressing and cutting process. A simple theoretical relation was established based on the fabric structure and yarn shear stress. The model formulation and experimental results to describe the basic theory of blade cutting fracture for woven fabric of different designs was derived. In this work, the experimental investigation of the effect of the fabric specifications, normal load, and the cutting speed on the cutting force was carried out, which indicates that the value of the specific cutting resistance of the fabric was found to be highly correlated with the fabric structure, warp and weft yarn count, Young’s modulus of the fabric, and fractional cover factors ratio ζ.

Form-Finding Analysis of Tensioned Fabric Structures Using Nonlinear Analysis Method

2011 ◽  
Vol 243-249 ◽  
pp. 1429-1434 ◽  
Author(s):  
Hooi Min Yee ◽  
Jae Yeol Kim ◽  
Ong Chong Yong
Keyword(s):  
Nonlinear Analysis ◽  
Minimal Surfaces ◽  
Stress Pattern ◽  
Classical Solutions ◽  
Analysis Method ◽  
Form Finding ◽  
Numerical Examples ◽  
Fabric Structure ◽  
Fabric Structures ◽  
Form Finding Analysis

Nonlinear analysis method is one of the earliest methods proposed for form-finding analysis of tensioned fabric structures. However due to some inherent weaknesses, the method has not been fully developed. In this paper, computational strategies for form-finding analysis of tensioned fabric structure using the nonlinear analysis method has been proposed. For the purpose of verification, form-finding analysis on numerical examples of tensioned fabric structures in the form of minimal surfaces Catenoid, Helicoid, Scherk and Enneper have been carried out. Both the obtained shape and pre-stress pattern have been checked with classical solutions for the above minimal surfaces for verification of the effectiveness of the proposed computational strategies.

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