http://nopr.niscpr.res.in/handle/123456789/67088 Fri, 09 Oct 2026 16:24:17 GMT 2026-10-09T16:24:17Z http://nopr.niscpr.res.in/handle/123456789/67102 Title: Physical and mechanical properties of Eri-silk/jute blended fabrics Authors: Bharali, Pankaj; Gogoi, Nabaneeta; Bhuyan, Smita; V, Ramesh Babu; Ariharasudhan2, S; Prakash, C Abstract: In the present study, an effort is made to blend Eri-silk fibre with jute in different blended ratios (Eri-silk: Jute ratios of 100/0; 75/25, 50/50, 25/75 and 0/100) to develop a range of blended yarns. These yarns are then used as weft yarn to produce a value-added woven textile of plain weave design, while keeping the cotton yarn in the warp direction. The resulting fabrics are evaluated comprehensively to identify the blend ratio that provides superior physical, mechanical and comfort-related properties. Areal density, thickness, crease recovery angle, stiffness, tensile and tearing strengths, elongation percentage, cover factor, water wicking, air permeability and drapability are assessed in detail. Based on the findings, the Eri-silk: jute (75/25) blend is observed to exhibit the most favourable overall performance across the tested parameters. Different apparel textile products are also developed from blended fabrics, demonstrating their potential for functional and aesthetic applications. Page(s): 357-362 Mon, 01 Dec 2025 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/67102 2025-12-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/67101 Title: Consumed sewing thread behaviour for knitted fabrics using factorial design method Authors: Chourabi, Z; Khedher, F; Jaouachi, B Abstract: This study investigates experimentally the influence of key parameters on sewing thread consumption. Eight knitted fabrics with different plain structures and thicknesses are tested by sewing two layers using a chain stitch type 401. The effects of sewing machine foot pressure, needle thread tension and fabric thickness on the consumed sewing thread have been investigated. It is concluded that an increase in the foot pressure height increases sewing thread consumption, as well as the fabric thickness. However, increasing the needle thread tension decreases the sewing thread amount. Using the multi- linear regression method, good relationships (regression coefficient close to 1) between thread consumption behaviours and the investigated parameters are observed. Page(s): 363-370 Mon, 01 Dec 2025 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/67101 2025-12-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/67100 Title: Analysis of key comfort properties of rib-knitted fabrics in relation to fabric structure Authors: Asayesh, Azita; Ghanbari, Zahra Abstract: This study aims to examine the effect of float stitches on the key comfort properties of rib-knitted fabrics. Knit pattern, as a structural parameter, plays a significant role in determining fabric behaviour, and this research evaluates how variations in float stitches affect air permeability, water vapour permeability, thermal resistance, and related comfort characteristics. The findings show that incorporating float stitches reduces both air and water vapour permeability, while increasing thermal resistance, thereby making these fabrics more suitable for winter clothing due to enhanced thermal insulation. An increase in the number of float stitches across successive courses further raises water vapour permeability, thermal resistance, and energy absorption, but lowers air permeability and resiliency. When float stitches are present on both sides of the fabric, thermal resistance, energy absorption, resilience, and thickness recovery improve, whereas air permeability, water vapour permeability, and relative compressibility decrease compared to fabrics with floats on only one side. The study indicates that fabrics with float stitches on one side are better suited for summer clothing due to their improved moisture management, while those with float stitches on both sides are more suitable for winter use, owing to their superior thermal insulation. Page(s): 371-378 Mon, 01 Dec 2025 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/67100 2025-12-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/67099 Title: Predicting thermal behaviour of multilayered fabric assemblies using artificial neural networks Authors: Garg, Samridhi; Midha, Vinay Kumar; Sikka, Monica Abstract: The study aims to predict the thermal resistance of a multilayered fabric assembly comprising an inner layer of interlock fabric, an outer layer of PU-coated nylon, and a middle layer of spacer fabric, hollow polyester wadding, or micro polyester wadding, using Artificial Neural Networks (ANN) in MATLAB. Two neural networks are developed to predict thermal resistance. Network one (N1) consists of three layers with four neurons in the hidden layer, and network two (N2) comprises three layers with three neurons in the hidden layer. In N1, four input parameters—thermal resistance of individual layer (inner, middle, and outer) and the thickness of the multilayered assembly—are employed. In N2, only the thermal resistance of the individual layers is used as input. The predictive performance of both models is evaluated using four statistical parameters: root mean square error (RMSE), mean bias error (MBE), mean absolute error (MAE), and coefficient of determination (R2). The results indicate that even without incorporating the thickness of the multilayered assembly, the ANN model can accurately predict the overall thermal resistance based solely on the thermal resistance of the individual layers. Page(s): 379-386 Mon, 01 Dec 2025 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/67099 2025-12-01T00:00:00Z