Analysis of Abrasion Characteristics in Textiles

Özdіl, Nіlgün; Kayseri, Gonca Özçelik; Mengüç, Gamze Süpüren

doi:10.5772/29784

Cited by 35 publications

(41 citation statements)

References 19 publications

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“…Loss processes can occur from the surface of the fabric or from fragments like fibres (Abdullah et al, 2006) or particles into the environmental compartments. The increased surface area of these material fragments (Abdullah et al, 2006;Browne et al, 2011;Özdil et al, 2012) can result in faster loss rates. Rough surfaces like DWR finished cotton fabrics might have a higher tendency for abrasion and fragment formation than the smooth surfaces of synthetic fibres (Hu, 2008).…”

Section: Diffuse Emissions Of Dwr Related Substances During a Garmentmentioning

confidence: 98%

Properties, performance and associated hazards of state-of-the-art durable water repellent (DWR) chemistry for textile finishing

Holmquist

Schellenberger

Veen

et al. 2016

Environment International

121

142

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Section: Diffuse Emissions Of Dwr Related Substances During a Garmentmentioning

confidence: 98%

Properties, performance and associated hazards of state-of-the-art durable water repellent (DWR) chemistry for textile finishing

Holmquist

Schellenberger

Veen

et al. 2016

Environment International

121

142

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“…However, the observations in this study can be attributed to differences in the shedding behavior. In fact, synthetic fibers are generally considered to have a higher abrasion resistance compared to natural fibers [36].…”

Section: Chemical Fiber Separation and Identificationmentioning

confidence: 99%

Microplastic Fibers Released by Textile Laundry: A New Analytical Approach for the Determination of Fibers in Effluents

Haap

Classen

Beringer

et al. 2019

Water

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The detection of shedded fibers in effluents from textile washing has attracted much attention due to its reported contribution to microplastic pollution. Commonly used analytical methods for fiber detection in liquids are based on filtration with subsequent microscopic analysis and/or gravimetric weighing. These approaches are time-consuming and prone to errors. In this study, an approach based on dynamic image analysis was applied in order to set up an efficient method to analyze fibers in effluents from washing processes. In an initial validation step, reliable information on the counts of fibers and the morphological characteristics were confirmed. For wastewaters from polyester-cotton blends, the chemical nature of the fiber debris (natural vs. synthetic origin) was determined by combining the dynamic image analysis with a chemical pre-treatment. In this study, dynamic image analysis was revealed as a rapid, non-destructive, precise, and reliable technology for the characterization and quantification of the fiber debris, offering a promising approach for fiber analysis in liquids.

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“…In the case of flexural fatigue of woven (Fung & Hardcastle, 2001;UL, 2016) fabrics, it was shown that the performance depends on the structure of the fabric, the position and structure of the yarn, and the yarn material (Schiefer & Boyland, 1942). Surface fatigue also contributes to wear behavior upon abrasion (Özdil, Kayseri, & Mengüç, 2012). Fatigue cracks form at the surface of the material due to alternating compression-tension stresses and propagate to subsurface regions where they may rejoin.…”

Section: Fatiguementioning

confidence: 99%