| Jacquard fabric by the combinations of weft-all-coloring could make the fabric texturesmoother, more plentiful, and stronger of stereoscopic impression. This jacquard fabric is lovedby more and more people, so it is widely used in the fields of textile processing.Weft-all-coloring jacquard fabric is used by different colors of yarn and kinds of fabric structureswhich it could obtain various patterns and rich color. Because of the myriads of changes on thefabric structure and yarn, it leads to impossible accurately predict the color. So a new colormodel is necessary to build on digital jacquard fabrics to accurately perform thespatial-color-mixture, which it could get the fabric color though changing the fabric texture andit has laid the foundation for the further technical application.First of all, the standardization of color measurement is proposed. For color measurement,the color is matched on the basic of the smallest measurement error, so the standardization ofcolor measurement is one of the most critical factors to improve matching. Under thecircumstance, all the factors that affect the reflectance is taken into account and designedexperiment for obtaining the optimal value of color measurement. The results indicate that thesamples is converted into5layers, chose30mm measuring area of the spectrophotometer,thirty-one-point reflectance values from400nm to700nm interval10nm was recorded, andmost readings at different locations were taken randomly and carefully to get the average ofreflectance under the condition of precision instruments, so it could improve the measuringaccuracy of weft-all-coloring jacquard fabric and make the reflectance is more close to the realreflectance.Second, three color models for matching16-threads weft-all-coloring jacquard fabric basingon Stearns-Noechel model, one-constant Kubelka-Munk and two-constant Kubelka-Munk arestudied. Though statistical analysis, get b is0.9when the sample material is the silk on thecondition that the color difference is the smallest based on the methods of optimization. Theverification results show that the color difference is larger with the Stearns-Noechel model to predict the color of16-threads weft-all-coloring jacquard fabric. After that one-constantKubelka-Munk and two-constant Kubelka-Munk for matching16-threads weft-all-coloringjacquard fabric basing on the theory of colorimetry and Kubelka-Munk are studied. Least squaremethod has been used for calculation absorption coefficient k and scattering coefficient s. Theresults indicate that a high accuracy calculation and the color difference is small with thetwo-constant Kubelka-Munk to pre-colored.At last, the least square method is used at tri-stimulus algorithm and spectrophotometricalgorithms which get the relation between the proportion of single yarn and the color of16-threads weft-all-coloring jacquard fabric. The proportion of single yarn is solved byspectrophotometric algorithms with the least square method. Because the fastness rating andcolor difference are the important index for weighting product quality, the exponential functionis used for converting the relationship between the the fastness rating and color difference. Theresults for187samples show that the average of color difference is1.418by the formula ofCIELAB, the average of color difference is0.9212by the formula of CMC(2:1), the average offastness rating is4.017, and the fitting accuracy of the proportion of single yarn from standardand matching is about97.76%. This means that the two-constant Kubelka-Munk theory issuitable for color prediction and the proportion for the16-threads weft-all-coloring jacquardfabric.Therefore, this paper get the model of the weft-all-coloring jacquard fabric, provides quickmeans for weaving the weft-all-coloring jacquard fabric, promotes the theory development ofjacquard fabric’s matching and laid a good foundation for further studying fabric color and fabricstructure. |
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