Textile color formulation methods: A literature review

S Chaouch, A Moussa, N Ladhari - Color Research & …, 2025 - Wiley Online Library
Color has become an essential element in our communication and our judgment on
products. In textile, the formulation of any color is an essential process to ensure color …

A review in the use of artificial intelligence in textile industry

F Pereira, V Carvalho, R Vasconcelos… - Innovations in …, 2022 - Springer
This paper presents an analysis of the state of the art of artificial intelligence applications in
the textile industry. A review of the existing literature was performed. This article presents …

Spectrophotometric prediction of pre-colored fiber blends with a hybrid model based on artificial neural network and Stearns–Noechel model

J Shen, X Zhou, H Ma, W Chen - Textile Research Journal, 2017 - journals.sagepub.com
The performance of the traditional color prediction model in the color prediction of colored
fiber blends is usually not very satisfactory under a variety of conditions, due to the limitation …

A novel approach to using neural networks to predict the colour of fibre blends

C Hemingray, S Westland - Coloration Technology, 2016 - Wiley Online Library
This work is concerned with the colour prediction of viscose fibre blends, comparing two
conventional prediction models (the Stearns–Noechel model and the Friele model) and two …

Predicting Dyeing Properties and Light Fastness Rating of Recycled PET by Artificial Neural Network

H Cho, JE Lee, AR Kim, YJ Kang, SH Song, JH Sim… - Fibers and …, 2024 - Springer
Global car manufacturers have been actively exploring strategies to incorporate eco-friendly
fiber materials into automotive interiors, with a particular focus on replacing traditional PET …

The issue of eosin fading: a combined spectroscopic and mass spectrometric approach applied to historical lakes

F Sabatini, E Eis, I Degano, M Thoury, I Bonaduce… - Dyes and …, 2020 - Elsevier
The huge number of complex formulations of synthetic dyes and pigments commercialized
in the 19th century makes their comprehensive characterization both difficult and …

Color prediction model for pre-colored fiber blends based on modified Stearns-Noechel function

C Wei, X Wan, J Li - Dyes and Pigments, 2017 - Elsevier
The goal of this work is to propose a color prediction model for pre-colored fiber blends with
high accuracy. The transfer function plays a vital role in an additive color mixing model. The …

Color prediction for pre-colored cotton fiber blends based on improved Kubelka-Munk double-constant theory

G Zhang, J Zhou, R Pan, L Wang, W Gao - Fibers and Polymers, 2021 - Springer
The accuracy of color prediction results for pre-colored fiber blends is critical in the textile
industry. In this paper, we attempt to investigate a feasible method for predicting the color of …

Modified addition theorem on Kubelka-Munk transmission law for mass prediction of each primary in two-mixed cotton fiber blends

M Wu, Z Lu, H Hu, Y Chen, X Sun - Textile Research Journal, 2024 - journals.sagepub.com
Unclear light propagation in mixed fibers has resulted in unachievable masses of primary
fibers, in particular thin two-mixed fiber assemblies for decades. Hereby, a modified mixed …

Research on colored yarns for a full color phase mixing model and the Stearns–Noechel color prediction approach

X Sun, Y Xue, Q Xu, J Shen, Z Xu - Textile Research Journal, 2023 - journals.sagepub.com
Using the binary coupled mixing algorithm as the foundation, the full color phase mixing
mode of six primary colored fibers is proposed, a full color phase mixing model containing …