Influence of Textile Parameters and Ageing on Consumer Behaviour (original) (raw)
Related papers
Sensory analysis of textiles: case study of an assortment of stretch denim fabrics
Industria Textila, 2019
Considered a specific niche, women's clothing is strongly influenced by trends in colors, pattern and fashion but also by the feelings about an adequate durability, a satisfactory degree of comfort in wearing and finally, yet importantly, a great aesthetic appearance, no matter what is the end use [1-3]. When the garment quality for women is defined from the weaving companies' perspective, there is a focus on the overall features that can be measured in a laboratory [4-5]. Predicting the overall suitability for designed end use and the products' success on the market can be a hard topic for fabrics and clothing manufacturers and for retailers, thus, the improving of the fabric design strategy should be a mandatory task in textile companies [3, 6-8]. A major concern within the textile value chain is to react timely to the consumer preferences and, nowadays, the sensorial comfort of any item of clothing together with the fabric quality seems to come first in the top of the consumer preferences. Regardless of the reference source and the market niche, polls about the clothing consumer lifestyle revealed that when shopping for apparel, consumers are not simply pursuing the latest fashion trends. On the contrary, they are willing to pay more for comfort, general appearance, and high-quality products, more Sensory analysis of textiles: case study of an assortment of stretch denim fabrics
A general methodology for analyzing fashion oriented textile products using sensory evaluation
Food Quality and Preference, 2010
In a garment company, key features on garment products can generally be characterized using three information sources: (1) physical measures using appropriate devices, (2) normalized sensory evaluation data, (3) consumers' perception on fashion styles of garments. The understanding of the relations between criteria at these three levels is important for designing new fashion oriented textile products. In this paper, we propose a method for evaluating fabric hand and similarity between fashion styles and fabric samples. Next, the relationship between these two sets of sensory data is analyzed using the data clustering algorithm and a number of linguistic similarity and relevancy measures we defined. The effectiveness of the proposed method has been validated using a set of fabric samples and a set of T-shirt products.
Impact of cotton parameters on sensorial comfort of woven fabrics
Research Journal of Textile and Apparel, 2020
For cloths having direct contact with the skin, comfort properties are a priority than the physical and mechanical properties. Innerwear clothes should induce pleasant feelings because they have a direct influence on human psychological satisfaction, health and work efficiency. The purpose of this study is to investigate the impact of cotton fiber parameters on the sensorial comfort of woven fabrics. Design/methodology/approach-Four types of cotton fiber with different fineness, mean length, uniformity index, short fiber content, strength and elongation were used to develop yarns used to weave fabric samples. Kawabata evaluation system (KES) was used to analyze the fabrics' sensorial comfort. Findings-Results showed that cotton fiber parameters have a significant effect on surface friction and roughness properties. Low stress tensile, tensile resilience and tensile strain properties were affected by fiber micronaire, mean length, uniformity index, short fiber content, fiber strength and elongation. However, fabric shear, bending and compression properties were least dependent on fiber parameters. The correlation of the dependent variable and the independent variable was also statistically analyzed and reported. From the results, it was shown that cotton fiber parameters play a significant role in woven fabrics' sensorial comfort. Originality/value-The cloths that are in contact with the skin can be developed using the results of these studies to feel pleasant. This will, in turn, have a direct effect on the customer's psychological satisfaction, health and work performance.
Fibres & Textiles in Eastern Europe, 2008
This article analyses the issue of consumer perception of the quality of textile products. The hierarchy of characteristics perceived to be related to the quality of clothes and the relationship between them was examined. The results of the inquiry and analysis of statistical descriptions showed that the aesthetic of a product, the quality of product finishing as well as safety of use and product healthiness have great importance for consumer perception of the quality of textile products. While for clothing products physiological comfort and convenience of use are the most important, for house textiles it is the durability and utility properties. Principal Component Analysis (PCA) method made it possible to establish relationships between parameters and to determine consumer models of textile product quality that consist of 5 principal components in relation to clothing products and 3 components in the case of house textiles. In accordance with the analysis, it was observed that, in...
Development of an Interdisciplinary Method for the Study of Fabric Perception
Journal of the Textile Institute, 1998
In retail-.store settings, consumers are influenced by visual and tactile information while shopping for textiles and apparel products. In order to simulate some aspects of a real-world shopping context while recognizing the benefit of laboratory control and precisian, textile chemists, physical scientists, social scientists, and designers have developed a new methodology to study perceptual responses to textiles. Based on several studies, a series of recommendations is offered. To simulate an actual purchase setting, we recommend that some variables (e.g. room temperature and humidity) be monitored, but not controlled to tbe point at which applicahility to a real-world context is diminished. We also make specific recommendations regarding viewing versus non-viewing of fabrics and otber logistical variables in relation to our development of a fabric-sorting method and an open-ended response format. A list of common consumer-generated descriptors is provided. Our interdisciplinary method aims to strike a meaningful balance between scientific control and applicability in a real-world context. Brandt. Brown, Bums. Cameron, Chandler. Dallas. Kaiser. Lennon, Pan. Salusso, and Smitley Tahic II Descriptions of the Fabrics 1 100% wool, worsted shirting, plain weave, supplied by Pendleton Woolen Mills. 2 100% wool, woolen shirt flannel, plain weave, supplied by Pendleton W(X)len Mills. 3 65 cotton/35 Kodel polyester-fiber sheeting, supplied by USDA Southern Regional Research Center. 4 100% cotlon, rib knit, .supplied by USDA Southern Regional Research Center.
Fabric Attractiveness Using Four Sensory Evaluators
Fibres & Textiles in Eastern Europe
All senses elicit emotional responses to goods, services, and the environment. They also play an important role in the process of fashion design and its evaluation. This research is a continuation of several preliminary studies we conducted online to define three attractive and three unattractive colors, textures, smells, sounds, and tastes. In the present study, a sample of textile engineering and fashion design students and experts (N = 54) assessed four groups of 6 fabric samples (sensory evaluators) selected based on the results of the preliminary studies. Each group of fabrics was assessed in one of four sensory modalities (except taste). Two semantic differentials were used to assess each sensory modality: attractive/unattractive and boring/interesting in the case of color, insensitive/sensitive in the case of texture, disturbing/calming in the case of sound, and cheap/luxurious in the case of smell. We found that among the fabrics in six different colors, the pink fabric was ...
TEKSTILEC
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.
Measuring Fabric Sensory Attributes: Theory and Practice
2019
Two major sample configurations are adopted in all the instruments for fabric hand measurement, flat sample as in KES and FAST types machines, and wrinkled sample as in PhabrOmeter. This paper compares the two sample types to examine which one if any offers a better coverage and reflection of the fabric sensory attributes. Fabrics have unique behaviors of drape, wrinkle and tactile sense which are entirely due to the simultaneous occurrence of both in-plane membrane deformation and out-of-plane bending deformation in multiple curvature. Such singular deformation mode cannot be detected by any machines using flat sample, whereas during a PhabrOmeter test, the fabric sample genuinely produces drape, wrinkle in addition to other related deformations. This paper then introduced the theoretical research pertaining to the measurement. Then a split sample experiment is conducted to demonstrate the importance of the internal connections in fabric during drape and wrinkle processes. As such...
Fibres and Textiles in Eastern Europe
This article analyses the issue of consumer perception of the quality of textile products. The hierarchy of characteristics perceived to be related to the quality of clothes and the relationship between them was examined. The results of the inquiry and analysis of statistical descriptions showed that the aesthetic of a product, the quality of product finishing as well as safety of use and product healthiness have great importance for consumer perception of the quality of textile products. While for clothing products physiological comfort and convenience of use are the most important, for house textiles it is the durability and utility properties. Principal Component Analysis (PCA) method made it possible to establish relationships between parameters and to determine consumer models of textile product quality that consist of 5 principal components in relation to clothing products and 3 components in the case of house textiles. In accordance with the analysis, it was observed that, in...