Results 11 to 20 of about 132,971 (309)

Effect of yarn structure variables on pilling performance for blended woven fabrics [PDF]

open access: yesJournal of Architecture, Art & Humanistic Science, 2022
Pilling is undesirable dilemma that badly influences the handle and appearance of fabrics. This work aimed to study the effects of four yarn factors (cotton materials, twist multiplier, cotton/polyester blend ratio and spinning system) on pilling ...
Haitham Abdel Daim Mahmoud Ahmed
doaj   +1 more source

Modeling simulation and analysis of textile pilling by using Upgraded Petri nets and two-level edge detection algorithm [PDF]

open access: yesTekstilna industrija, 2022
Upgraded Petri nets and a two-level edge detection algorithm for the modeling, simulation, detection, and analysis of textile pilling has used in this paper. There are two models in this paper.
Štrbac Perica   +2 more
doaj   +1 more source

Evaluation of fabric pilling grade based on visual saliency model

open access: yesXi'an Gongcheng Daxue xuebao, 2021
In order to achieve the objectivity and accuracy of the evaluation of fabric pilling performance, a new objective evaluation of fabric pilling grade based on visual saliency model is proposed.
Shengqi GUAN   +6 more
doaj   +1 more source

The Pilling-Bedworth Ratio of Oxides Formed From the Precipitated Phases in Magnesium Alloys

open access: yesFrontiers in Materials, 2021
The Pilling-Bedworth ratio of oxides preferentially formed from the precipitated phases in magnesium alloys were calculated. The results showed that the PBR value of Nd2O3 preferentially formed from Mg12Nd was 1.0584, and the PBR value of Y2O3 ...
Q. Jiang   +4 more
semanticscholar   +1 more source

A statistical prediction model for pilling grades of blended worsted fabrics based on fabric bending rigidity

open access: yesAlexandria Engineering Journal, 2022
A laboratory statistical tool based on fabric bending rigidity and weft yarn count to predict fabric pilling grades of blended worsted fabrics is proposed. Multiple regression analysis is performed to obtain three dependent models as evaluation tools for
Eman Mustafa   +4 more
doaj   +1 more source

The Influence of Finishing on the Pilling Resistance of Linen/Silk Woven Fabrics

open access: yesMaterials, 2021
The pilling resistance of fashion fabrics is a fundamentally important and frequently occurring problem during cloth wearing. The aim of this investigation was to evaluate the pilling performance of linen/silk woven fabrics with different mechanical and ...
E. Kumpikaitė   +3 more
semanticscholar   +1 more source

Changes in Fabric Surface Pilling under Laser Ablation

open access: yesSensors, 2020
Textiles require finishing to improve their usability and functionality but in the first place, to reduce of pilling tendency, which affects all kinds of synthetic and natural fabrics.
Ewa Korzeniewska   +4 more
doaj   +1 more source

In vitro experimental study on effect of fiber denier, yarn doubling, and specialty treatments on physical and thermal behaviors of knitted sports socks

open access: yesJournal of Engineered Fibers and Fabrics, 2023
Knitted sports socks remain in continuous scuff with wearers’ feet and shoes during activities. Such continuous physical contact governs severe pills on socks surface, which is unpleasant for both the wearer and the working life of socks.
Adeel Abbas   +2 more
doaj   +1 more source

Prediction of pilling grade of alkali-treated regenerated cellulosic fabric using fuzzy inference system

open access: yesJournal of the Textile Institute, 2021
Fabric pilling is formed due to the entanglement of fibers during mechanical actions including abrasion, domestic washing process, and wearing cycles. Pilling resistance is one of the important aesthetic property of fabrics controlling the appearance of ...
Lekha Priya Muthusamy   +2 more
semanticscholar   +1 more source

Prediction of pilling of polyester–cotton blended woven fabric using artificial neural network models

open access: yesJournal of Engineered Fibers and Fabrics, 2020
In this article, an intelligent pilling prediction model using back-propagation neural network model and an optimized model with genetic algorithm is introduced.
Qi Xiao   +5 more
semanticscholar   +1 more source

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