Study on needle-punched non-woven fabrics made from shrinkable and non-shrinkable acrylic blends. Part I: compressional behaviour

Das, Apurba; Alagirusamy, R.; Banerjee, B. L.

doi:10.1080/00405000701692395

Cited by 3 publications

(2 citation statements)

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“…Das et al. [9] investigated the effects of certain parameters on the compression properties of needle-punched nonwoven fabrics. The studied parameters included fabric mass per unit area, needling density and the proportion of shrinkable acrylic fibers in blends.…”

Section: Introductionmentioning

confidence: 99%

“…Their results showed that the initial thickness, compression, and thickness loss are higher in fabrics with no reinforcing materials. Das et al [9] investigated the effects of certain parameters on the compression properties of needle-punched nonwoven fabrics. The studied parameters included fabric mass per unit area, needling density and the proportion of shrinkable acrylic fibers in blends.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of the compression and recovery behavior of nonwoven fabrics under dynamic loading for automotive floor-covering application

Azami

Payvandy

Jalili

2020

Journal of Industrial Textiles

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Experimental methods have been successfully utilized in the textile industry for understanding the compression and recovery behavior of needle-punched nonwoven textiles under dynamic loading. However, these methods can only be performed after commercial production of textiles. An analytical approach is presented to estimate the Jeffery’s II model parameters and to simulate the compression and recovery behavior of needle-punched nonwoven textiles under dynamic loading before commercial production. These parameters are estimated by a viscoelastic model that explains the compression and recovery behavior according to ISO 2094. The model consists of a combined linear spring and a dashpot set parallel to each other and then connected to a linear dashpot in series. Using the Fourier transform, the periodic excitation is converted to the sum of harmonic forces and differential equations of the system motion are analytically solved. The predicted results of this analytical approach for the compression and recovery behavior of nonwoven textiles in dynamic loading showed the average error of 5.68% and 9.41%, respectively when compared to the experimental results. Therefore, the linear Jeffery’s II model is able to predict the compression and recovery behavior of needle-punched nonwoven textile under dynamic loading with high accuracy before commercial production of textiles.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%