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Fabrics’ thermal properties greatly influence human comfort during wear. For this reason, fabrics with optimum thermal properties need to be developed. This paper aims to investigate the effect of weft yarn twist levels on thermal and surface properties of 100 per cent cotton woven fabrics.

Five types of plain woven cotton fabrics were manufactured using weft yarns with 900, 905, 910, 915 and 920 twists/meter (Tpm). The other parameters of the samples as count, thread density and fabric structures were kept constant. Fabric thermal properties were evaluated by measuring its thermal conductivity, thermal resistance, actual insulation, water permeability, air permeability and wicking ability. The fabric compression and surface properties were also evaluated because they contribute to the overall clothing comfort.

The results showed that actual insulation and thermal resistance property decreased with an increase in twists/meter of the weft yarn. However, thermal conductivity does not significantly change while fabric compression reduced with an increase in twist as the surface roughness increased.

Comfort is a fundamental requirement in human daily existence, and it is greatly influenced by clothing, which comes in close contact with the human skin. Fabrics’ thermal properties greatly influence human comfort during wear. For this reason, fabrics with optimum thermal properties need to be developed.

This study aims at extracting and characterizing palm leaf fibers from Elaeis guineensis species of palm trees found in Ethiopia.

The fibers were extracted using three methods: manually, through water retting and chemically with sodium hydroxide. Physical parameters of the extracted fibers were evaluated, including tensile strength, fiber fineness, moisture content, degradation point and functional groups. Its cellulose, hemicellulose and lignin contents were also analyzed.

The results showed that the palm leaf fibers have a comparable fiber strength (170-450 MPa), elongation (0.95-1.25 per cent), fiber length (230-500 mm) and moisture regain (8-10 per cent) to jute, sisal and flax and thus can be used for technical textile application.

The fibers extracted using the water retting method had better properties than the other extraction methods. Its fiber length of 307 mm, cellulose content of 58 per cent, strength of 439 MPa and elongation of 1.24 per cent were the highest for all the extracted fibers. When compared with other fibers, palm leaf fiber properties such as tensile strength (439 MPa), elongation (1.24 per cent), moisture content (7.9-10.4 per cent and degradation point (360-380°C) were consistent with those of jute, sisal and ramie fibers. Hence, palm leaf fibers can be used for technical textile applications such as composite reinforcement.

This study aims to manufacture alternative window shutters using waste cotton fabrics by stiffening using polyvinyl acetate (PVA) with vinyl acrylic binder solutions.

The manufactured fabrics were evaluated for their tensile strength, drapeability, bending length by weight and color fastness to light. And finally, an analysis of variance was done for each parameter.

As the percent of PVA with a vinyl acrylic solution and the number of layers increased, the tensile strength, drape coefficient (percent), bending length (cm), and color fastness to light increased in both directions. The percent of PVA with a vinyl acrylic solution and the number of layers are statistically significant for each response such as tensile strength, drape coefficient (percent), bending length (cm), color fastness to light and water repellency at a 95% confidence interval. Tensile strength, drape coefficient (%) and bending length (cm) are always greater in the warp direction than in the weft direction. The tensile strength, drape coefficient (percent), bending length (cm) and color fastness to light of treated fabrics samples are greater than those of the untreated fabrics.

The factory waste fabrics can be recycled into window shutters which will provide the cheaper raw material for window shutter manufacturers.

The purpose of this study was to evaluate the extract of Moringa stenopetala seed oil, by organic solvents (methanol and hexane), for its efficacy against microbial activity on cotton fabrics. The selected microbes for the study were two types of bacteria which are Gram-positive (S. aureus) and Gram-negative (E. coli).

Two types of bacteria, Gram-positive (S. aureus) and Gram-negative (E. coli) were used. The extract was applied on fabrics at a concentration of 5, 10 and 15 g/L using the pad-dry-cure method and antibacterial activities verified by the bacterial-growth reduction method. The treated fabrics were evaluated for antimicrobial activity against the bacteria before and after 15 washing cycles. The extract was examined for molecular structural change using fourier transform infrared spectroscopy (FTIR) and physical properties of the fabric; tensile strength, elongation, air permeability, stiffness and wettability were evaluated.

Results showed treated fabrics reduces the growth of Gram-positive (S. aureus) and Gram-negative (E. coli) bacteria from 77.6%–100% before wash and 45.8%–85.2% after wash for both extract concentrations. Comparing extracts, hexane extract reduces all bacteria growth than methanol extract for both extract concentrations while S. aureus was more susceptible to antimicrobial agents than E. coli at a lower concentration. As result, the tensile strength and air permeability were relatively lower than untreated ones without affecting the comfort properties of the fabric.

This study indicates that the Moringa stenopetala seed oil extract has a strong antimicrobial activity.

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.

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.

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.

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.

Denim fabric has become a wardrobe staple due to its versatility to be worn in a variety of fashions. This paper aims to study denim fabrics to understand their unique hand by developing a hand evaluation system using computational method. Also, the effect of various washes was studied on the hand and surface morphology of denim fabrics.

Five different denim samples were manufactured with various washing treatments. The Kawabata Evaluation System was used to measure the low stress mechanical properties. Computation method was used to develop hand equations using multiple regression technique in the MS Excel software. The correlation coefficient analysis was done to determine the authenticity of the developed equations. Five primary hand attributes such as softness, smoothness, fullness, flexibility and stretchability were shortlisted by a panel of judges that influence the fabric handle.

The correlation coefficient between subjective and computational total hand values with thermal properties and without thermal properties was 0.88 and 0.85, respectively. The enzymatic wash fabric has the highest total hand value followed by the acid, bleach and stone-washed fabrics.

Although the hand evaluation system is available for conventional textiles like suiting and shirting fabrics, the method to predict fabric hand of non-conventional textiles such as denim fabrics remains an unexplored topic. The stresses acting on denim fabrics are completely different. Therefore, to the best of the author’s knowledge, a novel attempt has been made in this research work to develop a computational model to predict the total hand value of denim fabrics.