研究目的
To estimate the dye and the silver nanoparticle (AgNP) concentrations of silver nanoparticle-treated silk fabrics by using genetic algorithm (GA) and adaptive neuro-fuzzy inference system (ANFIS) methods.
研究成果
The ANFIS method showed better performance than the GA method in predicting dye and AgNP concentrations in silver nanoparticle-treated silk fabrics. The study demonstrated the potential of AI methods in color and antimicrobial property matching for textile applications.
研究不足
The study focused on silk fabrics treated with silver nanoparticles and used specific dyes and AgNP concentrations. The methods may need optimization for other types of fabrics or nanoparticles.
1：Experimental Design and Method Selection:
The study used GA and ANFIS methods for predicting dye and AgNP concentrations in silk fabrics treated with silver nanoparticles. The GA method was used for color matching based on spectrophotometric color matching, and the ANFIS method was applied with four different methods for dye and AgNP concentration prediction.
2：Sample Selection and Data Sources:
Thirty samples of silk fabric were prepared with different concentrations of dye and AgNPs. The samples were divided into a training set (23 samples) and a testing set (7 samples).
3：List of Experimental Equipment and Materials:
Plain-weaved 100% silk fabric, Dye C.I. Acid Red 359, acetic acid, sodium carbonate, silver nanoparticles solution at 0.800 ml/l concentration, Color Eye 7000 spectrophotometer from the Gretag Macbeth Corporation.
4：800 ml/l concentration, Color Eye 7000 spectrophotometer from the Gretag Macbeth Corporation.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Silk fabric was degummed and dyed with different dye concentrations. The dyed and raw silk fabrics were then treated with various concentrations of AgNP solutions. Antibacterial activity was evaluated, and color measurements were taken.
5：Data Analysis Methods:
The GA method used a fitness function based on RMS error for dye concentration prediction. The ANFIS method used grid partitioning algorithm with Gaussian curve built-in membership functions for dye and AgNP concentration prediction.
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