Evaluating the crease recovery performance of woven fabrics considering bending behaviour in various directions

Wrinkling is one of the most common flaws of woven fabrics in domestic use and industrial applications. It is necessary to develop an objective evaluation method to quantify the smoothness appearance of fabrics effectively. Herein, a fabric multi-deformation tester (FMDT) was designed to evaluate the smoothness appearance of garment fabrics by one sequential mechanical test, overcoming the main difficulties of the existing visual measurement methods for wrinkling evaluation of fabrics with complex colors and patterns. The k-means clustering algorithm was used to objectively cluster the fabric samples based on the characteristic parameters, including the wrinkle-induced residual force ( F wr), hysteresis distance ( H fr), position deflection ( D fr) and stretching recovery slope ( S tr), from the testing curve and the thickness and weight of fabrics, and comparisons with subjective evaluation were also conducted. The results reveal that the k-means clustering is able to classify the smoothness appearance of fabrics using the selected characteristic parameters, showing a good consistency with the subjective clustering results. The feasibility of using the mechanical and deformation properties of textiles to characterize fabric smoothness appearance is proved, and the FMDT provides a potential method to analyze the wrinkling of fibrous materials in a convenient way.

mentioning

confidence: 99%

In situ characterization of the morphological wrinkling of woven fibrous materials by a mechanical test

Sun

Wang

et al. 2020

“…Abrishami et al. 13 analyzed the evaluation of bending rigidity and crease recovery of fabrics in various directions and used an exponential function to express the non-linear relation between bending rigidity and the crease recovery in different directions of the fabric.…”

mentioning

confidence: 99%

“…Liu 12 proposed the measurement for fabric wrinkle-simulating actual wear, and established the equations of wrinkle density (WD) with WRAs. Abrishami et al 13 analyzed the evaluation of bending rigidity and crease recovery of fabrics in various directions and used an exponential function to express the non-linear relation between bending rigidity and the crease recovery in different directions of the fabric.…”

mentioning

confidence: 99%

Comprehensive evaluation of the fabric crease recovery property by the whole recovery process

Lei

Gao

2020

Current standard methods specify the recovery angle of a folded wrinkle in a controlled recovery period as the evaluation standard for the fabric crease recovery property. Nevertheless, there are limitations in the characterization of the whole recovery process by using the single recovery angle. We proposed a whole-process test method and comprehensive evaluation method for assessing the fabric crease recovery property. Firstly, a specimen was tested on the automatic fabric crease recovery testing device to obtain the “time-recovery angle” data. Then, the “time-average recovery angle” data was calculated by the recovery angle at the corresponding moment in the recovery period from repeated testing. The “time-average recovery angle” data was fitted into power function equation f( t) = atb. Parameter a reflects the degree of initial recovery. Parameter b reveals the speed degree at which the sample recovery reaches stable status. The K value, the ratio of a to b, could be calculated. Finally, the [Formula: see text] value, the average of the K values of four folded ways, was used to evaluate the crease recovery property of the fabric. The experimental results demonstrate that the [Formula: see text] values have positive correlation with the recovery angle of the fifth minute in the recovery period ( r = 0.92). In addition, for fabrics with the similar recovery angle results obtained from the wrinkle recovery angle evaluation method, the proposed method could differentiate the property of the fabrics. Therefore, the evaluation method can accurately reflect the initial resilience and comprehensive crease recovery property of textile materials.

mentioning

confidence: 99%

“…The image method has been developed as an alternative approach to differentiate the wrinkling level of fabrics objectively by image processing and machine vision technology. [4][5][6][7][8] Wang et al 9 used a dynamic video sequence to evaluate the change of the WRA. Xu and Reed 10 devised an automated rating system for fabric wrinkle recovery by acquiring the surface ratio and shade ratio of fabric surface images to quantify the wrinkled appearance.…”

mentioning

confidence: 99%

Determination of optimal system parameters to characterize the wrinkle recovery of fabrics by an integrated shape retention evaluation system

Sun

et al. 2019

Measurement methods based on the visual testing principle have been widely used for evaluating the wrinkle recovery property of fabrics; however, the cumbersome testing process and poor adaptability for various fabrics are the main shortcomings of these methods. Here, a facile mechanical testing method named the integrated shape retention evaluation system (ISRES) was developed, providing an alternative approach to assess the wrinkle recovery, as well as the compression recovery and elastic recovery of fabrics. The optimal system parameters of the ISRES in measuring the wrinkle recovery angle were determined using an orthogonal experiment design based on correlation analysis between the curve parameters from the force–displacement curves of the ISRES and the wrinkle recovery angles tested by a standard Shirley crease recovery tester. Moreover, the sensitivity of the ISRES for the differences of the wrinkle recovery of fabrics was analyzed. The results showed that the selected optimal system parameters were a good combination, and the ISRES with the optimal system parameters provided a feasible method to differentiate the wrinkle recovery of fabrics.