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  • How does the spectrometer bring new aspects to leather dyeing technology

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  "Leather dyeing is both a science and an art."
  
  
• Leather products are one of the most time-honored and consistent art forms in human history. Since the development of leather technology, animal leather can be transformed into flexible materials.As leather processing methods expanded to include the possibility of a wide range of aesthetic operations, the appearance of leather was valued as much as its usefulness, and was soon used in everything from shoes to tools, furniture and art.Since the introduction of more powerful and cost-effective synthetic alternatives to natural dyes, leather products can now produce rainbows to meet consumer demand.Today, modern spectroscopic color measuring instruments provide leather manufacturers with today's extremely high levels of color quality control and play a key role in evaluating new technologies that expand the potential for more consistent and accurate leather staining.
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Move towards predictable leather dyeing techniques

Until recently, leather dyeing was relatively professional, unpredictable and expensive, requiring not only a wide selection of dyes, but also careful preparation to achieve desired dye behavior and tone.However, in recent decades, researchers have developed new techniques to improve the simplicity, consistency and economic feasibility of dyeing by applying modern color theory to leather dyeing techniques.By combining tri-color staining with computer formula prediction, dyers can create almost any color using three main dyes, improving quality control while reducing material and labor costs.As Alois g. Puntener points out:

The consistent application of the new dyeing principle has produced economic advantages that cannot be underestimated.The colorful palette can be covered with several dyes, and the dyer does not need to be familiar with too many dyes and their properties.This not only reduces the lab cost of formulation prediction, but also reduces the cost of dye storage.The added benefit is that he may use a computer-controlled distribution device, which can greatly limit the possibility of errors and inaccuracies.1

Computer formulation prediction is itself "the prediction of spectral reflections from a given formulation of a colorant (and the ultimate generation of colour)".Spectrocolorimeter ensures the accuracy of dyes by performing complex spectral analyses in laboratory environments and production lines.Today's multifunctional spectrometric color meter family produces accurate readings in RSEX and RSIN modes, while also providing integrated height measurement capabilities, making it ideal for evaluating leather with a range of natural and artificial textures, while giving operators the flexibility to analyze color and appearance.Therefore, pairing computer formulation prediction with advanced chroma technology provides an excellent way to ensure quality.

Application of artificial neural network in color recipe prediction

Most current color prediction techniques are based on kubelka-monk's theory, "an iterative approach that attempts to minimize differences between color samples and predicted trichromatic laser values."2 although this model greatly expands consistent, cost-effective commercial leather dyeing, it does not apply in all cases.Therefore, researchers are trying to apply artificial neural network (ANN) to color prediction to overcome the limitations of knowledge management theory and improve the leather dye formula.

Artificial neural networks, modeled on biological processes, aim to learn over time to adapt and respond more accurately to new information.Stephen Westland of the university of Derby's institute for color and imaging believes that combining these powerful tools could provide a higher level of control for the leather manufacturing industry without the need for sophisticated sample preparation.To test his hypothesis, he used a sphere-based reflectance spectrophotometer to "calculate the color difference between the predicted and actual reflectance spectra." the samples were stained using KM and ANN based formulations.3 spectral data show that the artificial neural network can accurately predict the color, and in fact, is superior to KM model.

Coloration Technology published a similar study last year that focused on leather dyeing and confirmed that the artificial neural network had better performance than km-based prediction.Through in RSEX mode through d / 8 ° instrument analysis of the samples on average, from the central institute of leather and chennai university of BSA, the researchers found that the artificial neural network "are more reliable and consistent results...Especially for base materials such as leather "prone to unpredictability."Both studies, however, point out that "in order to go beyond knowledge management, artificial neural networks require more training samples," which has led many to limit their use to manufacturers that dye small batches of leather or change colors frequently.
 

Shenzhen Threenh Technology Co., Ltd. is renowned throughout the industry for their extraordinary accuracy, precision and flexibility.With a wide variety of portable, desktop and online instruments, we have tool researchers and leather manufacturers who need to evaluate new and existing dye technologies in laboratories and factory workshops.When combined with our sophisticated software packages, you can collect, display, and interpret color data, enabling you to easily associate spectral information with process variables, providing you with nearly unlimited possibilities for meaningful analysis.Contact us to learn more about our product lineup, world-class customer support services, and how we can help you achieve complete color quality control.