Blended Fabric Absorbance Prediction Using Dye Ratio Correction
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Solution Overview
Problem
Existing methods struggle to predict the absorbance spectrum of blended fabrics accurately, making it difficult to correct dye prescriptions effectively.
Innovation Solution
An apparatus and method that predict the absorbance spectrum of blended fabrics by combining the absorbance spectra of individual fabrics and their blending ratios, using a processor to correct and sum the spectra of hydrophilic and hydrophobic dyes based on blending percentages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If absorbance spectrum prediction is attempted for blended fabrics using conventional methods, then the process can be simplified, but prediction accuracy deteriorates
Solution Approach 1:
The blended fabric is segmented into its constituent fabric types (e.g., cotton, polyester), and the absorbance spectrum prediction is performed separately for each fabric type based on its specific dyeing characteristics. The individual predictions are then combined using blending ratios to produce the final prediction for the blended fabric, thereby maintaining accuracy while simplifying the overall process
Solution Approach 2:
The method changes the prediction approach by introducing blending ratio as a key parameter that weights the absorbance spectrum contributions of different fabric types. Instead of treating the blended fabric as a homogeneous entity, the system adjusts the prediction based on the specific proportions of constituent fabrics, improving accuracy without significantly increasing process complexity
2Productivity
If dye prescription correction is performed without accurate blended fabric absorbance prediction, then the workflow can be completed, but color reproduction precision deteriorates
Solution Approach 1:
The system uses the predicted absorbance spectrum of the blended fabric as feedback information to iteratively adjust and correct the dye prescription. The prediction serves as a reference that guides the correction process, enabling precise color reproduction while maintaining efficient workflow by automatically incorporating the blended fabric characteristics into the correction calculations
Data Source
AI summary
An apparatus for predicting an absorbance spectrum of a blended fabric including a first fabric and a second fabric includes a memory that stores at least one command, and a processor that performs the at least one command stored in the memory, wherein the processor predicts a first absorbance spectrum, which is an absorbance spectrum for a first dye used for dyeing of the first fabric, predicts a second absorbance spectrum, which is an absorbance spectrum for a second dye used for dyeing of the second fabric, corrects the first and second absorbance spectra based on a blending ratio of the blended fabric, and predicts a third absorbance spectrum, which is an absorbance spectrum of the blended fabric, based on the corrected first and second absorbance spectra.


