6 research outputs found

    Thermal comfort properties of single jersey fabrics made from recycled polyester and cotton blended yarns

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    Thermal comfort properties of single jersey fabrics made from recycled polyester and cotton blended yarns have been studied. Single jerseys knitted fabrics are prepared with different recycled polyester blend ratios, linear density and loop lengths. Box and Behnken, a three level three variable factorial design technique has been used to study the interaction effects of the variables on the characteristics of fabrics. The influence of these variables on thermal comfort properties of fabrics is studied, their response surface equations are derived and design variables are optimized. Fabric becomes thinner, lighter and more porous with the increase in recycled polyester in blend ratio and loop length, whereas thicker, heavier and less porous fabric is resulted with the increase in linear density. Similarly, the increase of linear density results in thicker, heavier and less porous fabric with higher thermal conductivity, lesser air permeability and thermal resistance and high relative water-vapor permeability at medium linear densities. Loose structure results in thinner, lighter and more porous fabric with higher thermal resistance, air permeability and relative water-vapor permeability, and lesser thermal conductivity

    Thermal comfort properties of single jersey fabrics made from recycled polyester and cotton blended yarns

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    318-324Thermal comfort properties of single jersey fabrics made from recycled polyester and cotton blended yarns have been studied. Single jerseys knitted fabrics are prepared with different recycled polyester blend ratios, linear density and loop lengths. Box and Behnken, a three level three variable factorial design technique has been used to study the interaction effects of the variables on the characteristics of fabrics. The influence of these variables on thermal comfort properties of fabrics is studied, their response surface equations are derived and design variables are optimized. Fabric becomes thinner, lighter and more porous with the increase in recycled polyester in blend ratio and loop length, whereas thicker, heavier and less porous fabric is resulted with the increase in linear density. Similarly, the increase of linear density results in thicker, heavier and less porous fabric with higher thermal conductivity, lesser air permeability and thermal resistance and high relative water-vapor permeability at medium linear densities. Loose structure results in thinner, lighter and more porous fabric with higher thermal resistance, air permeability and relative water-vapor permeability, and lesser thermal conductivity

    Wp艂yw proporcji mieszanki na cechy jako艣ciowe prz臋dzy poliestrowo-bawe艂nianej otrzymanej z recyklingu

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    This study investigates the effect of the blend ratio on recycled blended yarn quality characteristics. Ring-spun yarns of linear density of 23.6, 29.5 and 39.4 tex were produced from five blend proportions of recycled polyester and cotton (0:100, 33:67, 50:50, 67:33 and 100:0). Increasing the recycled polyester content increases the tenacity, elongation at break and hairiness and decreases unevenness, thin places, thick places and neps, while a decrease in linear density increases the tenacity, elongation at break, unevenness, thin places, thick places, neps and hairiness. Statistical analysis reflects that both the blend ratio and linear density have a significant difference on the tenacity, elongation at break, thin places, thick places, neps and hairiness. However, with reference to unevenness, a significant difference is reported only for linear density and not for the blend ratio. The ratio of recycled polyester has a significant influence on the overall quality of recycled polyester/cotton blended yarn. The blending of recycled polyester and cotton can be optimised to meet various end-use requirements.W pracy zbadano wp艂yw proporcji mieszanki na cechy jako艣ciowe prz臋dzy poliestrowo- -bawe艂nianej. Wytworzono prz臋dze o g臋sto艣ci liniowej 23,6; 29,5 i 39,4 tex, z pi臋ciu proporcji mieszanki poliestru i bawe艂ny poddanych recyklingowi (0: 100, 33:67, 50:50, 67:33 i 100:0). Stwierdzono, 偶e zwi臋kszenie zawarto艣ci poliestru powoduje zwi臋kszenie wytrzyma艂o艣ci, wyd艂u偶enia i w艂ochato艣ci oraz zmniejszenie nier贸wnomierno艣ci, ilo艣ci pocienie艅 i defekt贸w prz臋dzy. Obni偶enie g臋sto艣ci liniowej zwi臋ksza wytrzyma艂o艣膰, wyd艂u偶enie, nie- r贸wnomierno艣膰 oraz ilo艣膰 pocienie艅 i w艂ochato艣膰 prz臋dzy. Przeprowadzona analiza statystyczna wykaza艂a, 偶e zar贸wno proporcje mieszanki, jak i g臋sto艣膰 liniowa maj膮 istotny wp艂yw na wytrzyma艂o艣膰, wyd艂u偶enie, nier贸wnomierno艣膰 i w艂ochato艣膰 prz臋dzy

    Effect of Blend Ratio on the Quality Characteristics of Recycled Polyester/Cotton Blended Ring Spun Yarn

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    This study investigates the effect of the blend ratio on recycled blended yarn quality characteristics. Ring-spun yarns of linear density of 23.6, 29.5 and 39.4 tex were produced from five blend proportions of recycled polyester and cotton (0:100, 33:67, 50:50, 67:33 and 100:0). Increasing the recycled polyester content increases the tenacity, elongation at break and hairiness and decreases unevenness, thin places, thick places and neps, while a decrease in linear density increases the tenacity, elongation at break, unevenness, thin places, thick places, neps and hairiness. Statistical analysis reflects that both the blend ratio and linear density have a significant difference on the tenacity, elongation at break, thin places, thick places, neps and hairiness. However, with reference to unevenness, a significant difference is reported only for linear density and not for the blend ratio. The ratio of recycled polyester has a significant influence on the overall quality of recycled polyester/cotton blended yarn. The blending of recycled polyester and cotton can be optimised to meet various end-use requirements.W pracy zbadano wp艂yw proporcji mieszanki na cechy jako艣ciowe prz臋dzy poliestrowo- -bawe艂nianej. Wytworzono prz臋dze o g臋sto艣ci liniowej 23,6; 29,5 i 39,4 tex, z pi臋ciu proporcji mieszanki poliestru i bawe艂ny poddanych recyklingowi (0: 100, 33:67, 50:50, 67:33 i 100:0). Stwierdzono, 偶e zwi臋kszenie zawarto艣ci poliestru powoduje zwi臋kszenie wytrzyma艂o艣ci, wyd艂u偶enia i w艂ochato艣ci oraz zmniejszenie nier贸wnomierno艣ci, ilo艣ci pocienie艅 i defekt贸w prz臋dzy. Obni偶enie g臋sto艣ci liniowej zwi臋ksza wytrzyma艂o艣膰, wyd艂u偶enie, nie- r贸wnomierno艣膰 oraz ilo艣膰 pocienie艅 i w艂ochato艣膰 prz臋dzy. Przeprowadzona analiza statystyczna wykaza艂a, 偶e zar贸wno proporcje mieszanki, jak i g臋sto艣膰 liniowa maj膮 istotny wp艂yw na wytrzyma艂o艣膰, wyd艂u偶enie, nier贸wnomierno艣膰 i w艂ochato艣膰 prz臋dzy

    SEQUENTIAL MINIMAL OPTIMIZATION IN SUPPORT VECTOR MACHINE

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    Computer based medical decision support system (MDSS) can be useful for the physicians with its fast and accurate decision making process. Predicting the existence of heart disease accurately, results in saving life of patients followed by proper treatment. The main objective of our paper is to present a MDSS for heart disease classification based on sequential minimal optimization (SMO) technique in support vector machine (SVM). In this we illustrated the UCI machine learning repository data of Cleveland heart disease database; we trained SVM by using SMO technique. Training a SVM requires the solution of a very large QP optimization problem..SMO algorithm breaks this large optimization problem into small sub-problems. Both the training and testing phases give the accuracy on each record. The results proved that the MDSS is able to carry out heart disease diagnosis accurately in fast way and on a large dataset it shown good ability of prediction
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