The mechanism of wrinkling of cotton fabric in a front-loading washer: The effect of mechanical action

Liu, Hong; Gong, Hugh; Xu, Pengfei; Ding, Xuemei; Wu, Xiaoyun

doi:10.1177/0040517518821909

Cited by 9 publications

(5 citation statements)

References 45 publications

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“…Since washing takes place in a closed, well-mixing solid-liquid system with physical and chemical reaction, the study of hydrodynamic effects can be carried out according to theoretical (solution of the equation Navier Stokes) and experimental (tracer experiment) approaches [16]. This has been the subject of numerous studies with the aim of better describing the motion in the washing machine in order to optimize the washing process [14,[17][18][19][20][21][22][23].…”

Section: Hydrodynamic Effects In Washing Processmentioning

confidence: 99%

STEM Approach in Assessment of Microplastic Particles in Textile Wastewater

2022

Teh. vjesn.

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Multidisciplinary engineering approach as STEM (Science, Technology, Engineering and Mathematics) approach to characterize microplastic particles in household and industrial effluents was performed. Particles released during production, use, and disposal of plastic products now pose a significant burden on the environment. In addition to the consumption of energy, water and chemicals, the impact of the washing process is increasingly reflected in the environmental impact of microplastic particles shed from textiles. This review addresses the influences of chemistry through detergent composition, technology through the washing process, engineering aspect through hydrodynamic effects and transport phenomena, and finally the application of advanced mathematical analysis. The multivariate analysis is a selected method or proof of concept for the characterization of the washing effluents considering the particle release. The results of the cluster analysis show the importance of the temperature of 40 °C and 80 °C, the increase of the number of washing cycles and the addition of detergent as key parameters for the release of MP particles.

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Section: Hydrodynamic Effects In Washing Processmentioning

confidence: 99%

STEM Approach in Assessment of Microplastic Particles in Textile Wastewater

2022

Teh. vjesn.

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“…It was observed that the crease recovery of cotton fabrics decreases as yarn twist increases [7]. Similarly, Liu et al investigated the impact of mechanical action on the wrinkling of cotton fabrics in a drum washer [8]. Th ey observed that the spinning speed and wash load were the main factors infl uencing the smoothness of cotton fabrics.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Psychological Comfort Properties of 100% Cotton Plain Woven Fabrics made from Yarns with Different Parameters

Atalie¹,

Gideon²

2020

TEK

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The psychological satisfaction of the textile customer is the fi rst criteria used to evaluate clothing and a lack of aesthetics, while fashionability and physical appearance contribute to the psychological discomfort of users. Either inherently or due to processing, cotton cloths demonstrate diff erent psychological comfort behaviours. Manufacturers must therefore produce fabrics with optimum psychological comfort parameters. The objective of this research was to study the eff ect of cotton yarn parameters on the psychological comfort properties of woven fabrics. Four woven fabrics were produced from cotton yarns with diff erent yarn twists, yarn counts, strengths and yarn elongations. Psychological comfort parameters such as wrinkle, drape, crease, bending modules and fl exural rigidity were measured and analysed in accordance with the ES ISO 9867, ISO 9073-9, ES ISO 2313 and ASTM D1388-18 standards, respectively. Multiple regression equations were developed to predict the comfort properties of clothing in relation to yarn parameters. A statistical analysis showed that the wrinkle recovery and drapeability of fabrics were signifi cantly aff ected by yarn twist, count and tenacity, and the elongation of yarns. However, yarn twist, count, tenacity and elongation had an insignifi cant eff ect on the crease recovery of woven samples at an F-value of 3.546 and a P-value of 0.069. The stiff ness properties of the fabrics such as fl exural rigidity and bending modules also showed insignificant diff erence between samples at F = 38487.969, P = 0.057 and F = 25.506, P = 0.055 respectively. A multiple regression analysis showed a positive correlation between yarn parameters (factors) and response, with Adj. R 2 of 0.0998, Adj. R 2 of 0.975 and Adj. R 2 of 1 for crease recovery, wrinkle recovery and drape coeffi cient, respectively. The equations developed are helpful to fabric manufacturers in sourcing yarns with specifi c parameters to produce the desired comfort level in a fabric.Izvleček Psihološko zadovoljstvo kupca s tekstilijo je prvi kriterij ocenjevanja oblačila, pri čemer pomanjkanje estetike, modnosti in fi zičnega videza vplivajo na psihološko neudobje uporabnika oblačila. Bombažna tekstilija izkazuje sama ali zaradi obdelav različne psihološke odzive. Proizvajalci morajo zato izdelovati tekstilije z optimalnimi parametri psihološkega udobja. Namen raziskave je bil preučiti vpliv parametrov bombažne preje na psihološke lastnosti udob ja tkanin. Štiri tkanine so bile izdelane iz bombažnih prej z različnim vitjem, dolžinsko maso, trdnostjo in raztez kom. Parametri psihološkega udobja, kot so gube, drapiranje, zmečkanost, upogibni modul in upogibna togost, so bili izmerjeni in analizirani v skladu s standardi ES ISO 9867, ISO 9073-9, ES ISO 2313

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“…The influence of mechanics on the release of polymer fibrils in washing, especially when it comes from textiles, has been a focus of the scientific community in the last few years [12]. The washing machine design type affects the hydrodynamics, the transport of textiles, and the baths inside the drum.…”

Section: Introductionmentioning

confidence: 99%

Particle Characterization of Washing Process Effluents by Laser Diffraction Technique

et al. 2021

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The dominant type of polymer particles in water, sediment, and various organisms partly derives from natural and synthetic fibres released in the washing process. Pollution of aquatic recipients with these particles poses an interdisciplinary problem throughout the world. Wastewater from washing represents a dispersion system with different particle sizes that is also loaded with the source of the particles. Due to this complex system, the qualification and quantification of this type of pollution is difficult. In this paper, the laser diffraction technique was applied to characterize particles in effluents from washing and rinsing materials made of a mixture of cotton and polyester. The results obtained through the analysis prove that the laser diffraction technique is acceptable for the characterization of a composite effluent sample. The advanced statistical technique of multivariate analysis confirmed the interrelationship of the parameters of this complex dispersion system.

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The mechanism of wrinkling of cotton fabric in a front-loading washer: The effect of mechanical action

Cited by 9 publications

References 45 publications

STEM Approach in Assessment of Microplastic Particles in Textile Wastewater

STEM Approach in Assessment of Microplastic Particles in Textile Wastewater

Prediction of Psychological Comfort Properties of 100% Cotton Plain Woven Fabrics made from Yarns with Different Parameters

Particle Characterization of Washing Process Effluents by Laser Diffraction Technique

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