Evaluation of residual bagging volume using 3D image analysis technique

Azaza, Aymen; Jaouachi, Boubaker; Douik, Ali; Schacher, Laurence; Adolphe, Dominique

doi:10.1080/00405000.2014.895090

Cited by 8 publications

(2 citation statements)

References 14 publications

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“…It can be seen that six overall principal components were obtained through PCA. In this paper, the parameter for which the percentage exceeded 50 percent was considered as the important element to the principal component [16][17][18][19]. Table 6 shows that, the PCA extracted three factors with eigenvalues >1, which accounted for 86.76% of the variance in total.…”

Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

A New Method for Predicting a Relationship Between the Mechanical Properties and Denim Garment Shrinkage Using the Principal Component Analysis Method

Khedher

2023

TTEFT

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Purpose:The purpose of this work is to study the relationship between the fabric mechanical properties such as Tear strength (T_S), Breaking strength (B_S) and Cloth's Dimensional Stability (Sh), particularly, after industrial launderings (stone wash, enzyme wash, mixed wash and rinse). Hence, we attempt to select the most interrelationships using the Principal Component Analysis (PCA) technique. In this study, the treatments of finishing garments during washing are the important parameters influencing cloth's dimensional and the fabric mechanical properties. To improve the obtained results, the selected significant inputs are also analyzed within their influence on shrinkage. The polynomial regression model relating the Tear strength and the shrinkage denim fabric proves the effectiveness of the PCA method and the obtained findings.Design/methodology/approach: To investigate the matter, the type of washing and their contributions on shrinkage, four types of fabrics manufactured into pants were used. These fabrics differ not only by their basis weights (medium and heavy weight fabrics) but, also by their compositions (within and without elastane), and their thread count (warp and weft yarn count, twist and density. To evaluate significantly results, a factorial design analysis based on an experimental design was established. The choice of these treatments, as well as their design mode, led us to make a complete factorial experimental design.Findings: According to the results, the prediction of shrinkage behaviour as function of the process washing input parameters seems significant and useful in our experimental design of interest. As a consequence, it was concluded also that after these input parameters, we can find the relationship between the shrinkage and the mechanical properties Tear strength (T_S warp) and Tear strength (T_S weft). Thanks to the PCA, it is very easy to reduce the number of the influent output parameters, and knowing these significant parameters, the prediction of mechanical properties knowing the shrinkage denim garment, during the process of washing seems successful and can undoubtedly help industrial to minimize the poor workmanship of the finishing quality.Practical implications: This study is very interesting for finishing denim garment. The shrinkage is very important for correcting measures in sewing, considering that a high shrinkage may causes the cancellation of the fit from the client. This type of defect cannot be repaired in the major part of the cases and causes a big lost for the company, moreover the mechanical properties. For this reason, analysing the value of shrinkage before starting the production cycle is of great importance to apply the right balance to the pattern. The model of predicting the mechanical properties behaviours as function of the shrinkage denim garment leads manufacturers to eliminate the test of mechanical properties that remain as destructive tests. Moreover, according to results obtained, it may be concluded that prediction still accurate through th...

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Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

A New Method for Predicting a Relationship Between the Mechanical Properties and Denim Garment Shrinkage Using the Principal Component Analysis Method

Khedher

2023

TTEFT

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“…They showed that these parameters are correlated, thus they focus on the analysis of the parameter “bagging fatigue.” The results showed that the material type (viscose, or polyester/viscose), spinning system, weave pattern, and weft density have significant effects on bagging fatigue performance (Movahed et al, 2017). As for the fabric deformation degree, different test procedures were applied and the cover factor of deformed and un‐deformed fabric images was investigated by the image analysis method (Azaza et al, 2015). They calculated bagging force, work, fatigue, resistance, hysteresis, and residual height to model the bagging behavior of worsted fabrics using response surface methodology (Dehghani et al, 2019; Farahani et al, 2018; Movahed et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Study of the effect of enzymatic washing parameters on the bagging properties of denim fabric with Taguchi method

Fraj

Jaouachi

2022

J Surfact & Detergents

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This study aims to evaluate the effect of neutral enzyme washing on the bagging behavior of denim garments and optimize the conditions of this treatment using the Taguchi design. Six types of fabrics were selected with the same weaves and different characteristics. These samples were washed with a neutral cellulase enzyme under different conditions such as enzyme concentration (0.3%, 2%, and 4%), temperature (30, 45, and 65 C), time (15, 45, 75 min), and material to liquor ratio (1:5, 1:8, and 1:10). To evaluate the effect of enzymatic washing on the bagging behavior, we investigated the residual bagging height, the bagging fatigue percentage, the bagging resistance, and the bagging recovery percentage. Thanks to the main effects plots the influencing factors were obtained and using the signal-to-noise ratio diagram, the optimum conditions were determined. The obtained results showed that these bagging properties were affected by the washing conditions and that the most important factors are the characteristics of the samples such as the percentage of elastane and polyester fibers, weight and weft density, and enzyme concentration. The process parameters were optimized and the optimized washing conditions for the best value were 0.3% enzyme concentration at 45 C for 75 min, in material to liquor ratio of 1:8. Concerning the factor of the sample, the results show that the increase of the percentage of elastane or polyester fibers in the composition of denim fabric decreases the problem of deformation and bagging. Therefore it is recommended to add a percentage of these fibers in the construction of the denim to improve the bagging recovery. Thus, the increase in the weft density minimizes that bagging phenomen appears.K E Y W O R D S bagging behaviors, denim fabric, main effects plots, neutral enzyme washing, signal-to-noise ratio

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Analysis of fingertip/textile friction-induced vibration by time-frequency method

Jiang

Yang

et al. 2016

Fibers Polym

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Evaluation of residual bagging volume using 3D image analysis technique

Cited by 8 publications

References 14 publications

A New Method for Predicting a Relationship Between the Mechanical Properties and Denim Garment Shrinkage Using the Principal Component Analysis Method

A New Method for Predicting a Relationship Between the Mechanical Properties and Denim Garment Shrinkage Using the Principal Component Analysis Method

Study of the effect of enzymatic washing parameters on the bagging properties of denim fabric with Taguchi method

Analysis of fingertip/textile friction-induced vibration by time-frequency method

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