A hybrid artificial intelligence model to predict the color coordinates of polyester fabric dyed with madder natural dye
Color matching is an important issue in textile dyeing especially when facing with natural
dyes. Generally, the expert engineers evaluate the fabric's color visually and try different …
dyes. Generally, the expert engineers evaluate the fabric's color visually and try different …
Environmentally benign dyeing of polyester fabric with madder: Modelling by artificial neural network and fuzzy logic optimized by genetic algorithm
In this study, polyester fabric was dyed with madder as an environmentally friendly natural
dye. According to Box-Behnken experimental design, 46 samples were dyed under various …
dye. According to Box-Behnken experimental design, 46 samples were dyed under various …
Machine learning in optimization of nonwoven fabric bending rigidity in spunlace production line
MR Sadeghi, SM Hosseini Varkiyani… - Scientific Reports, 2023 - nature.com
Spunlace nonwoven fabrics have been extensively employed in different applications such
as medical, hygienic, and industrial due to their drapeability, soft handle, low cost, and …
as medical, hygienic, and industrial due to their drapeability, soft handle, low cost, and …
Application of ANN weighted by optimization algorithms to predict the color coordinates of cellulosic fabric in dyeing with binary mix of natural dyes
Cotton is one of the most important fibers used in the textile industry. The dyeing of cotton
with synthetic anionic dyes consumes large amounts of salt and alkali, which makes it a …
with synthetic anionic dyes consumes large amounts of salt and alkali, which makes it a …
Enhancing the quality of elastane-cotton core yarn by compact spinning
The quest for highly stretchable fabrics with good aesthetic and functional properties has led
researchers to constantly involve in mingling of natural and synthetic fibers. Elastane-cotton …
researchers to constantly involve in mingling of natural and synthetic fibers. Elastane-cotton …
A monarch butterfly optimization-based neural network simulator for prediction of siro-spun yarn tenacity
Yarn tenacity directly affects the winding and knitting efficiency as well as warp and weft
breakages during weaving process and therefore, is considered as the most important …
breakages during weaving process and therefore, is considered as the most important …
Tuning drafting zone parameters for polyester yarn within a ring spinning system: modeling and optimization
Yarn is a fundamental element in most textile products. Among various yarn manufacturing
methods, the ring spinning system is particularly important due to its benefits, such as high …
methods, the ring spinning system is particularly important due to its benefits, such as high …
Modeling the Static Puncture (CBR) Properties of Non-woven Geotextiles Based on Neural Network and Multi-optimization
The optimization of geotextile mechanical properties is crucial for enhancing their
performance in civil engineering applications such as soil reinforcement and stabilization …
performance in civil engineering applications such as soil reinforcement and stabilization …
Predicting the thickness loss and recovery of acrylic carpet pile imposed to UV exposure using artificial intelligence
One of the metrics that establishes the carpet quality is its compress and decompress
behaviors. In a research, addressed later in the paper, carpet samples with the acrylic pile …
behaviors. In a research, addressed later in the paper, carpet samples with the acrylic pile …
Modeling the shear behavior of spunbond nonwoven fabrics using the finite element method
M Vadood, D Dehghan Manshadi - The Journal of The Textile …, 2025 - Taylor & Francis
Nonwovens are among the most commonly used textiles in various industries. Therefore, the
study of their behavior under different stresses has always been of interest to researchers. In …
study of their behavior under different stresses has always been of interest to researchers. In …