Fabric quality and performance is assessed subjectively by the customer using an important and complex phenomenon of fabric hand. Objectively, it is evaluated with complicated and expensive instruments, such as Kawabata Evaluation System for Fabrics (KES-F) and Fabric Assurance with Simple Testing (FAST). The present research explores a non-touch objective approach, i.e., three-dimensional (3D) drape model to estimate fabric hand. Fabric hand prediction was testified on different commercial fabrics spanning a wide range of areal weight, thickness, yarn count, and fabric density. Fabric objective ranks based on drape indicators using principal component analysis (PCA) were compared with subjective ranks of fabric hand. Additionally, fabric drape is evaluated three dimensionally and a new drape indicator drape height (DH) is proposed. The cosine similarity results have proved fabric drape as an objective alternate to fabric hand.
Cotton fibre maturity is the measure of cotton’s secondary cell wall thickness. Both immature and over-mature fibres are undesirable in textile industry due to the various problems caused during different manufacturing processes. The determination of cotton fibre maturity is of vital importance and various methods and techniques have been devised to measure or calculate it. Artificial neural networks have the power to model the complex relationships between the input and output variables. Therefore, a model was developed for the prediction of cotton fibre maturity using the fibre characteristics. The results of predictive modelling showed that mean absolute error of 0.0491 was observed between the actual and predicted values, which show a high degree of accuracy for neural network modelling. Moreover, the importance of input variables was also defined.
In the apparel manufacturing, fabric utilization always remains the significant apprehensions in controlling the production expenditure. Alteration in pattern shapes and marker preparation leads to the enormous utilization of fabric. The purpose of this research is to study fabric efficiency in correspondence with four different human body shapes in both genders. Two clothing styles, fitted trousers and fitted shirts, were processed conventionally in the garment manufacturing company. The comparative study of auto-marker and manual-marker making through Garment Gerber Technology (GGT) software were also accomplished. The evaluation of fabric consumptions, marker efficiency, marker loss, fabric loss, and fabric cost relevant to four different body shapes was analyzed for both women and men. The investigation carried out in this article concludes that there are differences in fabric consumptions, efficiencies, and cost-effectiveness relative to body shapes. The result revealed that the manualmarker of trousers for triangular body shape in women’s wears has the least fabric consumption (most cost-effective), whereas the shirt’s auto-marker for an oval body shape in men’s wears has the most fabric utilization (least costeffective). The manual-virtual-marker making is efficient (significant p-value) than auto-generated-markers. Also, fabric utilization for women’s garments is cost-effective than that for men. Trousers are cost-effective compared to the shirts.
In this research work, thermal properties of plain woven fabrics generated from regenerated bamboo and cotton fiber blended yarns were investigated. Seven mixtures of fiber (100% bamboo, 100% cotton, 10:90 bamboo: cotton, 20:80 bamboo: cotton, 30:70 bamboo: cotton, 40:60 bamboo: cotton and 50:50 bamboo: cotton) were developed to create 60 Tex ring spun yarn. The warp yarns were used as 100% regenerated bamboo and the bamboo: cotton blends were used alternatively in weft to produce plain woven fabrics. The plain structured woven fabrics show eminent thermal comfort properties with the blending of regenerated bamboo fibers. The air permeability of 100% regenerated bamboo fiber was recorded higher than the compared blends; the increased key factor contents of bamboo changed the air properties of the fabric. Furthermore, plain woven fabric of bamboo/cotton (50/50) has shown greater thermal conductivity and heat retention properties. The work reported in this paper is ensuring highpoints of thermal comfort properties of regenerated bamboo (100%) and cotton (100%) with plain woven structured fabrics, and potentially, the fabrics can be used for winter suiting apparel products.