Prediction of fabric pilling tendency based on blended worsted fabric construction

ElKateb, Sherien; Mustafa, Eman; Gholmy, Sherwet El; Geiheini, Adel El; Malek, Abdel Salam

doi:10.1080/00405000.2022.2084266

Cited by 4 publications

(7 citation statements)

References 18 publications

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“…This is owing to the greater interlacing of yarns in plain woven fabric that makes its structure more compact and restrict the movement of fibers within the yarn. 33 The effect of yarn count on the pilling propensity is also depicted from the figure. The pilling resistance of fine yarn count blended fabrics is higher as compared to courser yarn count blended woven fabrics due to the higher twist that made its structure compact by firm bonding of fibers within the yarn, so the protruding of fibers in fine yarn count is difficult.…”

Section: Resultsmentioning

confidence: 99%

A sustainable blend of Tencel/jute fibers as an alternative to cotton/polyester for clothing

Sarwar,

Ahmad,

Ahmad

et al. 2023

Journal of Engineered Fibers and Fabrics

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The increasing concern about the environment has enhanced the utilization of sustainable products in every field of life, from common household items to fabrics. Although cotton is a plant-based fiber, its cultivation requires large amounts of water and pesticides. Therefore, the future of product development demands environmental friendliness. To overcome the problems of cotton related to the environment, a novel sustainable fabric was developed by using Tencel and jute fiber for the apparel industry to reduce the usage of cotton. In this current study, six blended yarns of two counts (10 & 20 Ne) of Tencel and jute (90:10, 80:20, and 70:30) were developed by ring spinning to weave fabric in two weave designs (Plain & Twill). These developed fabrics were assessed for mechanical, comfort, and hand properties. The results revealed that the blended fabric with a high content of Tencel is good in terms of mechanical, comfort, and hand properties, except for stiffness, pilling resistance, resilience, and drapeability. Additionally, fabric woven with a fine yarn count is also good in the above-stated properties, except for stiffness, resilience, and wrinkle recovery. However, fabrics woven with a twill weave design have good comfort and hand properties, except for smoothness and drapability. On the other hand, fabric with a plain weave design is good in terms of mechanical properties, except for tear strength. The comparison of TJ blended fabric with PC blended fabric shows that the tensile strength, air permeability and OMMC of JT blended fabric is 8.31%, 96%, and 29.46% higher than PC blended fabric but tear strength is 99% less. Furthermore, statistical analysis was performed to check the effect of the input variables on the response factors, and it was found that the effect of yarn count on all output responses is statistically the most significant.

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Section: Resultsmentioning

confidence: 99%

A sustainable blend of Tencel/jute fibers as an alternative to cotton/polyester for clothing

Sarwar,

Ahmad,

Ahmad

et al. 2023

Journal of Engineered Fibers and Fabrics

View full text Add to dashboard Cite

show abstract

“…Table (1) displays factors studied of fabric samples that were manufactured on Rapier and Picanol machines, and were divided into three models according to the material of the weft yarn. Four different weft yarn count (twist factor=3.8), three values of picks per inch (except material (2) has 2 only two values of picks / inch) and two fabric weave patterns for each material have been chosen for this experiment.…”

Section: Experimental Workmentioning

confidence: 99%

“…Rsquared displays how the independent variables have the ability to explain variations of the dependent variable. MSE measures the quality of an estimator and the difference of average squared between actual and predicted values [1]. In addition, the error of prediction equals the difference between actual and predicted values.…”

Section: Experimental Workmentioning

confidence: 99%

“…SPSS software is used to analyze data of three models to predict fabric stiffness. According to the specifications in table (1), sixteen fabric samples were produced for each material. The Levenberg-Marquardt algorithm is used with the "trainlm" training function to obtain an accurate ANN to predict fabric stiffness.…”

Section: Experimental Workmentioning

confidence: 99%

“…Moreover, correlation between different factors of fabric construction was investigated. Most of these factors that used to predict fabric features are numerical variables such as fiber length, yarn strength or fabric weight and avoid using significant qualitative fabric factors such as fabric weave structure [1].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Prediction of Fabric Stiffness Based On Fabric Construction

Mustafa,

Malek,

El Gholmy

et al. 2023

Industrial Technology Journal

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This research presents a statistical tool to predict fabric stiffness based on fabric construction to avoid material waste, effort and time consuming in laboratories testing. Three different blended material of fabric were used that made from wool and polyester with different percentages of material yarns, counts and type (single/ply) of weft yarn, and fabric weave pattern (plain, twill and satin). Quantitative and qualitative variables were used in prediction by applying regression analysis and Artificial Neural Network (ANN) with a suitable coding system for different variables. Three independent models were derived to predict fabric stiffness by using regression analysis and compared to ANN model. Model (3) is the best prediction tool depending on regression analysis to predict fabric stiffness due to higher interpretation of the relation between variables used in prediction of fabric stiffness. Whereas, ANN achieved higher performance of validation (MSE = 7.41E-05) and total value of (R 2 = 0.967) when comparing to regression analysis model.

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Effect of abrasion level on surface handling and thermal conductivity of blended suit fabrics

El-Aziz,

Mohamed,

Mustafa

2024

The Journal of The Textile Institute

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Prediction of fabric pilling tendency based on blended worsted fabric construction

Cited by 4 publications

References 18 publications

A sustainable blend of Tencel/jute fibers as an alternative to cotton/polyester for clothing

A sustainable blend of Tencel/jute fibers as an alternative to cotton/polyester for clothing

Prediction of Fabric Stiffness Based On Fabric Construction

Effect of abrasion level on surface handling and thermal conductivity of blended suit fabrics

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