Study of knitting factors contribution on residual bagged fabric behaviour

Jaouachi, Boubaker

doi:10.1080/00405000.2013.778000

Cited by 9 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The bagging test and experimental conditions are described in Jaouachi's works (Jaouachi, 2013a, b). Hence, each woven fabric sample should be maintained under hemispherical ball (conformator) during five hours.…”

Section: Methodsmentioning

confidence: 99%

“…However, other researchers (Amirbayat and Namiranian, 2006a, b) used the image analysis technique to investigate, theoretically, the behaviors of bagged textile fabrics. The modeling of the bagging behavior has also interested some other studies (Jaouachi, 2013a, b;Jaouachi et al, 2010Jaouachi et al, , 2011 in the case of knitted fabrics. In addition, Hassani and Hassen Zadeh developed a regression model to predict the bagging fatigue percentage of knitted fabrics produced from viscose/polyester blended rotor yarns using blend ratios and structural cell stitch lengths as predictor variables (Hasani and Hassan Zadeh, 2012).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Recovery velocity evaluation of bagged denim fabrics as function of frictional parameters

Gazzah

Jaouachi

Sakli

2015

International Journal of Clothing Science and Technology

Self Cite

View full text Add to dashboard Cite

Purpose – The purpose of this paper is to predict the bagging recovery velocity of bagged denim fabric samples. Hence, the authors attempt to carry out a model highlighting and explaining the impact of some considered frictional parameters such as yarn-to-yarn friction expressed as weft yarn rigidity parameter and metal-to-fabric friction expressed by mean frictional coefficient parameter. Design/methodology/approach – The statistical analysis steps were implemented using experimental design type Taguchi and thanks to Minitab 14 software. The modeling methodology analyzed in this paper deals with the linear regression method application and analysis. The predictive power of the obtained model is evaluated by comparing the estimated recovery velocity (theoretical) with the actual values. These comparative values are measured after the bagging test and during the relaxation time of the denim fabric samples. The regression coefficient (R2) values as well as the statistical tests (p-values, analysis of variance results) were investigated, discussed and analyzed to improve the findings. Findings – According to the statistical results given by Taguchi analysis findings, the regression model is very significant (p-regression=0.04 and R2=97 percent) which explains widely the possibility of bagging behavior prediction in the studied experimental field of interest. Indeed the variation (the increase or the decrease) of the frictional input parameters values caused, as a result, the variation of the whole appearance and the shape of the bagged zone expressed by the residual bagging height variations. In spite of their similar compositions and characteristics, the woven bagged fabrics presented differently behaviors in terms of the bagging recovery and kinetic velocity values. After relaxation times which are not the same and relative to different fabric samples, it may be concluded that bagging behavior remained function of the internal frictional stresses, especially yarn-to-yarn and metal-to-fabric ones. Practical implications – This study is interesting for denim consumers and industrial applications during long and repetitive uses. The paper has practical implications in the clothing appearance and other textile industry, especially in the weaving process when friction forms (yarn-to-yarn, yarn-to-metal frictions) and stresses are drastic. In fact, in terms of the importance to the industrial producers of the materials it helps to provide a first step in an attempt for a better understanding of the stresses involved in bagging of woven fabrics in general and denim fabrics particularly due to important frictional input contributions. They provide the basis for the development of fabrics that can withstand bagging problems. This research may also put forward improved methods of measuring bagginess as function of frictional parameters in order to optimize (minimize) their effects on the bagging behaviors before and after repetitive uses. These experimental, statistical and theoretical findings may be used to predict bagginess of fabrics based on their properties and prevent industrial from the most significant and influential inputs which should be adjusted accurately. This work allows industrial, also, to make more attention, in case of a high-quality level to ensure, to optimize and review yarn behaviors used to produce fabrics against drastic solicitations and minimize frictions forms during experimental spinning and weaving processes. Originality/value – Until now, there is no sufficient information to evaluate and predict the effect of the yarn-to-yarn friction as well as metal-to-yarn one on the residual bagging behavior. Besides, there is no work that deals with the kinetic recovery evolution as function of frictional inputs to explain accurately the bagging behavior evolution during relaxation time. Therefore, this present work is to investigate and model the residual bagging recovery velocity after bagging test as function of the frictional input parameters of both denim yarn and fabric samples (expressed by the friction caused due to contact from conformator to fabric).

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Recovery velocity evaluation of bagged denim fabrics as function of frictional parameters

Gazzah

Jaouachi

Sakli

2015

International Journal of Clothing Science and Technology

Self Cite

View full text Add to dashboard Cite

show abstract

“…Maximal punching height H of low anisotropic knitted material K1cyc increases by 18 %, but punching height H of high anisotropic knitted material K2cyc decreases by 9 %. Maximal punching forces P of both investigated materials after their cyclical fatigue loading have not changed, i. e. low wearing loads do not have any significant effect upon strength characteristics of investigated materials [20].…”

Section: Methodsmentioning

confidence: 88%

The Effect of Bonded Seams upon Spatial Behaviour of Knitted Materials Systems

Busilienė

Strazdiene

Urbelis

et al. 2015

View full text Add to dashboard Cite

Spatial behaviour of knitted materials with bonded seams under biaxial tensile loading is analysed in this work. The objects of the research were plain jersey and rib 1×1 polyester knitted materials with elastane (93 % PES, 7 % EL). Two thermoplastic polyurethane (PU) films different in thickness (75 μm and 150 μm) were used. For each sample of knitted material and thermoplastic film five types of samples with bonded seams (10 mm in length) were prepared by changing the orientation of knitted materials pieces, i. e. parallel/parallel, parallel/bias, parallel/perpendicular, bias/bias and bias/perpendicular. The effect of thermoplastic films type and the effect of knitted materials orientation in seam was analysed on the basis of biaxial punching characteristics-maximal punching force P (N) and maximal punching height H (mm). The changes of tested specimens strength and deformation were compared before and after their cyclical fatigue loading (50 cycles of punching force P = 50 N). The obtained results have shown that changes before and after cyclical fatigue loading are mostly determined by the type of thermoplastic film, but not effected by the orientation of knitted materials pieces in bonded seam.

show abstract

“…Creating a volume in the form of a pocket at the elbows or knees when pressure or strain is applied to the fabric is called bagging. After long periods of use or repeated movements, there are considerable local shape volume increases and the appearance of the garment is affected 28,29 . Therefore, studying the bagging property of fabrics is important.…”

Section: Resultsmentioning

confidence: 99%

Effects of ozone treatment on denim garment properties

Fraj

Jaouachi

2021

Coloration Technology

Self Cite

View full text Add to dashboard Cite

The conventional denim washing process is considered to be the most polluting in the textile industry. This sector uses huge amounts of water, energy and chemicals, and generates a lot of wastewater with a high pollution load. For this reason, other types of washing treatment have been discovered. Among these treatments, we can specify the ozone treatment, which is sustainable and economical. In this study, ozone treatment was applied to denim fabric samples to improve the effect of the washing conditions on the appearance and physical characteristics of the fabrics. Bagging resistance, force at break, shrinkage, spectroscopy testing, rubbing fastness evaluation and Fourier Transform–infrared analysis of the treated and untreated denim fabrics (which did not undergo desizing treatment) were analysed and investigated. To study the individual and main effects and significance of input parameters, the Taguchi design was used. Based on the obtained results, ozone treatment increased the whiteness value of treated fabrics. Moreover, it induced certain changes to the physical, mechanical and bagging properties of denim fabrics. The loss of force at break and the percentage of shrinkage reached 30.11% and 15.15%, respectively. The bagging resistance indicated a significant decrease of up to 40.17% after ozone treatment.

show abstract

Study of knitting factors contribution on residual bagged fabric behaviour

Cited by 9 publications

References 11 publications

Recovery velocity evaluation of bagged denim fabrics as function of frictional parameters

Recovery velocity evaluation of bagged denim fabrics as function of frictional parameters

The Effect of Bonded Seams upon Spatial Behaviour of Knitted Materials Systems

Effects of ozone treatment on denim garment properties

Contact Info

Product

Resources

About