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Design method of dye formula

A design method and dye technology, applied in the field of dye compounding, can solve the problems of inability to guarantee the compatibility of dye samples, affecting the production efficiency of dyeing factories, poor compatibility of dyes, etc., and achieving the effect of simple method, improved quality and high efficiency

Active Publication Date: 2019-06-21
DONGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current computer color matching technology does not involve the problem of poor compatibility of dyes, and the compatibility of the obtained dye sample formula cannot be guaranteed. This problem is still a major difficulty affecting the production efficiency of dyeing factories

Method used

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  • Design method of dye formula

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] A design method of a dye formula, which is the same as the above-mentioned steps, specifically: the candidate dye formula and the historical dye formula are all composed of reactive red 239 and reactive yellow 176. When training the BP neural network model, the concentration of the dye solution is 5g / L, The pH value is 7, the dyeing temperature is 60°C, the bath ratio is 1:10, the amount of neutral salt is 60g / L, the process is exhaust dyeing, the fabric is cotton fabric, the laser wavelength range of the Raman spectrometer is 785nm, and the laser power is 20mW , the exposure time is 0.2sec, the chemometric method is the partial least square method, reactive red 239 and reactive yellow 176 are input into the BP neural network model after training at the same time with different mass percentages, and the preparation ratio of the dye in the candidate dye formula (mass ratio ), K of each dye 0 value and the corresponding D max Value is as shown in table 1, obtains reactiv...

Embodiment 2

[0060] A method for designing a dye formula is basically the same as in Example 1, except that the candidate dye formula and the historical dye formula are all composed of reactive red 239 and reactive blue 194, and reactive red 239 and reactive blue 194 are in different mass percentages Simultaneously input the trained BP neural network model, the preparation ratio (mass ratio) of dyes in the candidate dye formula, the K of each dye 0 value and the corresponding D max Value is as shown in table 2, obtains reactive red 239: the D of the dye formula when reactive blue 194 is 7:3 max If the value is the smallest, the compatibility of the dye formula is the best, and this formula is the final designed formula.

[0061] Table 2

[0062]

Embodiment 3

[0064] A method for designing a dye formula is basically the same as in Example 1, except that the candidate dye formula and the historical dye formula are all composed of reactive red 239, reactive yellow 176 and reactive blue 194, reactive red 239, reactive yellow 176 and Reactive blue 194 is input into the trained BP neural network model with different mass percentages, the preparation ratio (mass ratio) of dyes in the candidate dye formula, the K of each dye 0 value and the corresponding D max Value is as shown in table 3, obtains reactive red 239: reactive yellow 176: the D of the dye formula when reactive blue 194 is 4:4:2 max If the value is the smallest, the compatibility of the dye formula is the best, and this formula is the final designed formula.

[0065] table 3

[0066]

[0067]

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Abstract

The invention relates to a design method of a dye formula. After the variety of each dye in the target dye formula is determined, the percentage of the mass of each dye accounting for the total mass of the dye is generated randomly to obtain a plurality of candidate dye formulas, and then, one candidate dye formula is screened out from the multiple candidate dye formulas; in the screening process,firstly, the percentages of the mass of the dyes accounting for the total mass of the dyes in the candidate dye formulas are input into one BP neural network model at the same time, the model outputsa K0 value of each dye in the candidate dye formula, then, a Dmax is calculated, Dmax=|K0max-K0min|, K0max and K0min are the maximum value and the minimum value of the dye K0 value in the candidate dye formula, finally, the Dmax of each candidate dye formula is compared, the candidate dye formula with the minimum Dmax is found, and the BP neural network model is a BP neural network trained by a plurality of historical dye formulas. The method is simple, and the compatibility of the obtained dye formula is good.

Description

technical field [0001] The invention belongs to the technical field of dye compounding, and relates to a method for designing a dye formula. Background technique [0002] The dyeing properties such as level dyeing and color fastness of the dye itself can be improved by compounding the dye. When compounding dyes, dyes with similar structures are easy to compound, and dyes with distant structures can be complementary, so the compounding of dyes needs to be screened according to the structural characteristics of each dye. For example, dyes with similar structures can enhance the interaction between dyes, especially in The synergistic effect produced by the interaction on the fiber can greatly improve the color fixation rate of the dye, and achieve the effect of deepening and brightening. It is a clean and environmentally friendly production technology, which is suitable for the current market demand of low pollution and low cost. [0003] At present, there are many evaluation ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): D06P1/00
Inventor 毛志平代亚敏徐红钟毅张琳萍王碧佳隋晓锋陈支泽冯雪凌
Owner DONGHUA UNIV