Objective Evaluation of Fabric Handle by Simple Measurement Methods

Abstract

In this study, objective and subjective evaluations of fabrics were made to predict fabric handle in a simple way. The aim of this research was to select a suitable form of regression model and predict total handle value with a minimum number of parameters to make a practical approach by using simple laboratory measurements. For this purpose, a wide database of 71 worsted men's suitings was prepared by making subjective and objective evaluations. Subjective tests of primary handle attributes (softness-stiffness, thickness-thinness, and roughness-smoothness) and total handle were evaluated by an expert jury consisting of 18 members, and a subjective total handle value was also calculated using these data. Objective measurements consisted of fabric tensile, bending, shear, compression and surface properties, and pulling through a nozzle tests. A new surface roughness tester was used for measuring surface properties, and it was found that these roughness results might be useful for fabric handle prediction. Linear and log linear regression equations were tested by using 43 parameters. Consequently, some simple regression equations that were practical solutions were obtained to predict fabric handle. A very good result was obtained with a value of the adjusted R2 = 0.88 with eight parameters (LOGP1, LOGB, T42, RΔq1, Rp2, Rq1, Rpmean, P1) from four different property blocks (pulling through a nozzle, bending, tensile, and surface), and in particular, the regression equations reaching an adjusted R2 value over 0.80 are recommended.

Extracting fabric hand information from visual representations of flared skirts

“…One reason, as was mentioned previously, is that the attempts made by these devices are based on objective measurements of physical properties on real fabrics. 1,[21][22][23] But so far, there is not a commonly accepted FOM that is capable of truly and comprehensively quantifying people's complicated sense of touch. [24][25][26] In fact, according to the previous description about sensory evaluation and the definition put forward by the Textile Institute in 1975 that fabric hand is 'the subjective assessment of a textile material obtained from the sense of touch', 27 there are enough reasons to believe that the most reliable and effective way to study fabric tactile properties might be from the perspective of human natural perception.…”

A New Regression Based Model for Estimation of the Process Parameters Affect for Texturing of Polyethylene Terephthalate (PET) Yarn

“…They used objective measurement results which are tensile, bending, shear, compression and surface properties, and pulling through a nozzle test, to predict subjective fabric handle. They used linear and log linear equations and claimed that very good result was obtained within the R 2 =0.88 [15]. Park and co-workers used regression equation to estimate holding power and pressure sensation utilizing average pressure and pressure distribution, and constructed the regression equation to estimate Comfortable fittability index using the calculated pressure sensation.…”

Prediction of fabric handle value using ordinal regression model

“…The first three methods are evaluated by special meters, but the last one doesn't require any special meters (Kayseri et al, 2012). These two systems are well known around the world, but the high prices of these systems and the complexity of methods made researchers use alternative fabric measuring systems or individual simple methods (Hatch, 1993;Mäkinen et al, 2005;Sülar & Okur, 2008).…”

“…At the beginning of the studies related to the subjective evaluation of fabric handle, the factors affecting this psychological decision were examined by Binns in 1926 (Sülar & Okur, 2008). However, in 1930, Peirce, who was a pioneer of objective studies on fabric handle, emphasized that it was a measurable property.…”

“…Finally, it was shown that the technique could also be utilized to evaluate some visual attributes such as drape and wrinkle recovery. Sülar and Okur (2008) used regression models to predict fabric handle. Finally, by applying eight parameters, they found out the regression equation for fabric handle.…”