The Experts below are selected from a list of 279 Experts worldwide ranked by ideXlab platform
Faten Fayala - One of the best experts on this subject based on the ideXlab platform.
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Fuzzy Logic Method for Predicting the Effect of Main Fabric Parameters Influencing Drape Phenomenon
Autex Research Journal, 2019Co-Authors: Thouraya Hamdi, Adel Ghith, Faten FayalaAbstract:Abstract The main aspect of this research was to predict the Drape parameters and describe clearly the Drape phenomenon using fuzzy logic method. Forecasting features allow manufacturers to save time and improve their productivity. The bending rigidity, (in warp, weft, and skew direction), shear rigidity, and weight of fabric samples were used as the key input variables for the model, whereas Drape Coefficient, Drape distance ratio, folds depth index, and node number were used as output/response variables. The results show that changing the values of fabric parameters significantly affected the fabric Drape and a representative correlation values were found between the experimental values and those calculated by the fuzzy system.
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Characterization of Drape profile using Fuzzy-C-Mean (FCM) method
Fibers and Polymers, 2017Co-Authors: Thouraya Hamdi, Adel Ghith, Faten FayalaAbstract:The overall objective of this study is to predict the behavior of the fabrics in details overlooked the Drape phenomenon using Fuzzy-C-Mean (FCM) method. In this paper, the fabric properties which are the weight, the bending rigidity B in three direction: warp, weft and skew direction and the shear rigidity G were preselected according to their influence on the Drape parameters (the Drape Coefficient DC, the node number NN, the fold depth index FDI and the Drape distance ratio DDR). The result showed that the Drape phenomenon was classified into three classes: low Drape, average Drape and high Drape. The values of Drape parameters were discussed in this work.
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A fuzzy logic method for predicting the Drape behavior
2017 International Conference on Engineering & MIS (ICEMIS), 2017Co-Authors: Thouraya Hamdi, Adel Ghith, Faten FayalaAbstract:Drape is particularly interesting because it is characterized by a deep ambivalence, oscillating between artistic pattern and type of clothing. It is influenced by the physical and mechanical fabrics properties. In this paper, we presented a method based on the fuzzy logic which the aim is the prediction of the Drape behavior (Drape Coefficient, Drape distance ratio, fold depth index and node number) from some fabrics properties such us the bending rigidity (warp, weft and skew direction), shear rigidity and weight of fabric samples.
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Prediction of Drape Coefficient by Artificial Neural Network
Autex Research Journal, 2015Co-Authors: Adel Ghith, Thouraya Hamdi, Faten FayalaAbstract:Abstract An artificial neural network (ANN) model was developed to predict the Drape Coefficient (DC). Hanging weight, Sample diameter and the bending rigidities in warp, weft and skew directions are selected as inputs of the ANN model. The ANN developed is a multilayer perceptron using a back-propagation algorithm with one hidden layer. The Drape Coefficient is measured by a Cusick Drape meter. Bending rigidities in different directions were calculated according to the Cantilever method. The DC obtained results show a good correlation between the experimental and the estimated ANN values. The results prove a significant relationship between the ANN inputs and the Drape Coefficient. The algorithm developed can easily predict the Drape Coefficient of fabrics at different diameters.
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A Principal Component Analysis (PCA) method for predicting the correlation between some fabric parameters and the Drape
Autex Research Journal, 2014Co-Authors: Thouraya Hamdi, Adel Ghith, Faten FayalaAbstract:A new method for predicting correlation between fabric parameters and the Drape is developed. This method utilises a Principal Component Analysis (PCA) of intercorrelated influencing parameters (bending rigidity, weight, thickness) and the Drape parameters (Drape Coefficient and the node number). This paper describes the PCA procedure and presents the similarities and contrasts between variables.
Mitsuo Matsudaira - One of the best experts on this subject based on the ideXlab platform.
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Features of Conventional Static and New Dynamic Drape Coefficients of Woven Silk Fabrics
Textile Research Journal, 2020Co-Authors: Mitsuo Matsudaira, Minzhang YangAbstract:Conventional static and new dynamic Drape Coefficients of silk woven fabrics are examined precisely to distinguish those features of each classified fabric by its yarn structure using our regression equations. We find that Shantung has large values of static Drape Coefficient D, and small node number n, revolving Drape increase Coefficient D,., and dynamic Drape Coefficient with swinging motion Dd. Chirimen is characterized by large values of Dr and Dd. Georgette has small values of revolving Drape Coefficient at 200 rpm, D200. Habutae has relatively large values of Ds and small n, and Dechine has relatively large values of Dr and Dd, but Fujiginu has no peculiar features. The differences between Fujiginu, Dechine, and Georgette become clear from the discriminant analysis, using the five Drape parameters as variables. New dynamic Drape Coefficients are more useful for characterizing each classified silk fabric.
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Changes in the Static and Dynamic Drape Coefficients of Polyester Fabrics Through the Finishing Stages
Textile Research Journal, 2020Co-Authors: Mitsuo Matsudaira, Minzhang Yang, Toshiyasu Kinari, Sukenori ShintakuAbstract:Static and dynamic Drape behaviors of polyester woven fabrics are studied through representative finishing stages using two sets of fabrics with different conditions of relaxation and weight reduction. The node number n, the revolving Drape increase Coefficient D r , and the dynamic Drape Coefficient D d increase through the finishing stages, especially with relaxation. The static Drape Coefficient D s and revolving Drape Coefficient at 200 rpm D 2 0 0 decrease through the finishing stages, especially with relaxation. These parameters do not change much after dyeing and raising. The effect of relaxation in a washer is stronger than in a jet-dyeing machine for these parameters. The effect of weight reduction on D r and D 2 0 0 appears clearly: the former increases and the latter decreases with a higher ratio of weight reduction.
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Some Features of the Static and Dynamic Drape Behaviour of Polyester-fibre Shingosen Fabrics
Journal of The Textile Institute, 2020Co-Authors: Mitsuo Matsudaira, Minzhang YangAbstract:The static and dynamic Drape behaviour of polyester-fibre shingosen fabrics was investigated precisely and analyzed by using the new mechanical parameters of the dynamic drapability of fabrics, such as the revolving Drape-increase Coefficient, D r, and the revolving Drape Coefficient at 200 r/min, D 200. It is shown that the value of D r of Peach Face type was small and that of New Worsted type was large. The value of D 200 of New Worsted type was larger than that for other shingosen types. On the other hand, there was no difference between each group of shingosen fabrics in node numbers and conventional static Drape Coefficients. In the classification by production characteristics, yarn-processing-type fabrics showed larger values of D r and D 200 than fibre-production- and fabric-finishing-type fabrics. In the classification by fibre characteristics, contractile-fibre-type shingosen fabrics showed the smallest values of D r and D 200. These features of shingosen fabrics in static and dynamic Drape behav...
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Improved Discrimination and Prediction of Drapability of Fabrics
Research journal of textile and apparel, 2010Co-Authors: Surinder Tandon, Mitsuo MatsudairaAbstract:A garment is regarded as desirable and beautiful if it covers the body with harmony and gracefulness. High Drape, lightweight and soft handle fabrics are in demand, particularly for womenswear garments such as dresses, shirts, skirts, trousers and suits. Fabric drapability can be measured by a number of Drapemeters for different modes of drapability such as static, dynamic and revolving. It has been shown that the Drape Coefficients, Ds, Dd and Dr, associated with these respective modes of drapability can be predicted from a combination of measurements from the KES-F system (Kawabata Evaluation System for Fabrics). In this paper we present the results of our studies on the prediction of drapability of lightweight wool fabrics, based on the KES-F system and Drape Coefficient predictive equations. It has been shown that the parameters Dr/Ds and Dd/Ds, called Indices of Drape Fluidity, Ir and Id, express the fluid Drape behaviour better than Ds, Dr, D200 and Dd. This is because they discriminate and predict the drapability of fabrics better. Ir and Idhave higher CV% than the Dr and Dd data, and therefore represent greater relative dispersion in a fabric group for Drape. Various Drape parameters of a group of wool fabrics have been compared with the four groups of polyester Shingosen fabrics, namely, New Silky, New Worsted, Rayon Touch and Peach Face, which are recognised for their soft fluid Drape.
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Changes of Static- and Dynamic- Drape Coefficients of Polyester-fiber Woven Fabrics by Weight Reduction in Sodium Hydroxide Solution
Journal of Textile Engineering, 2003Co-Authors: Mitsuo Matsudaira, Minzhang YangAbstract:The effect of weight reduction on static- and dynamic- Drape Coefficients of polyester-fiber fabrics was studied precisely using 2 sets of fabric samples, one of which had various weave densities of weft yarns. Following conclusions were obtained: (1) Node number; n, the revolving Drape increase Coefficient; Dr, and the dynamic Drape Coefficient at swinging motion; Dd, increase with the increase of weight reduction ratio, and saturate around the ratio of 23%. (2) Static Drape Coefficient; Ds, and the revolving Drape Coefficient at 200rpm; D200, decrease with the increase of ratio, however, the former also saturates around 20%. (3) The effect of yarn weave density at the same weight reduction appears clearly on Dd, D200, and Dr, and these Drape parameters increase with the increase in yarn weave density.
Minzhang Yang - One of the best experts on this subject based on the ideXlab platform.
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Features of Conventional Static and New Dynamic Drape Coefficients of Woven Silk Fabrics
Textile Research Journal, 2020Co-Authors: Mitsuo Matsudaira, Minzhang YangAbstract:Conventional static and new dynamic Drape Coefficients of silk woven fabrics are examined precisely to distinguish those features of each classified fabric by its yarn structure using our regression equations. We find that Shantung has large values of static Drape Coefficient D, and small node number n, revolving Drape increase Coefficient D,., and dynamic Drape Coefficient with swinging motion Dd. Chirimen is characterized by large values of Dr and Dd. Georgette has small values of revolving Drape Coefficient at 200 rpm, D200. Habutae has relatively large values of Ds and small n, and Dechine has relatively large values of Dr and Dd, but Fujiginu has no peculiar features. The differences between Fujiginu, Dechine, and Georgette become clear from the discriminant analysis, using the five Drape parameters as variables. New dynamic Drape Coefficients are more useful for characterizing each classified silk fabric.
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Changes in the Static and Dynamic Drape Coefficients of Polyester Fabrics Through the Finishing Stages
Textile Research Journal, 2020Co-Authors: Mitsuo Matsudaira, Minzhang Yang, Toshiyasu Kinari, Sukenori ShintakuAbstract:Static and dynamic Drape behaviors of polyester woven fabrics are studied through representative finishing stages using two sets of fabrics with different conditions of relaxation and weight reduction. The node number n, the revolving Drape increase Coefficient D r , and the dynamic Drape Coefficient D d increase through the finishing stages, especially with relaxation. The static Drape Coefficient D s and revolving Drape Coefficient at 200 rpm D 2 0 0 decrease through the finishing stages, especially with relaxation. These parameters do not change much after dyeing and raising. The effect of relaxation in a washer is stronger than in a jet-dyeing machine for these parameters. The effect of weight reduction on D r and D 2 0 0 appears clearly: the former increases and the latter decreases with a higher ratio of weight reduction.
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Some Features of the Static and Dynamic Drape Behaviour of Polyester-fibre Shingosen Fabrics
Journal of The Textile Institute, 2020Co-Authors: Mitsuo Matsudaira, Minzhang YangAbstract:The static and dynamic Drape behaviour of polyester-fibre shingosen fabrics was investigated precisely and analyzed by using the new mechanical parameters of the dynamic drapability of fabrics, such as the revolving Drape-increase Coefficient, D r, and the revolving Drape Coefficient at 200 r/min, D 200. It is shown that the value of D r of Peach Face type was small and that of New Worsted type was large. The value of D 200 of New Worsted type was larger than that for other shingosen types. On the other hand, there was no difference between each group of shingosen fabrics in node numbers and conventional static Drape Coefficients. In the classification by production characteristics, yarn-processing-type fabrics showed larger values of D r and D 200 than fibre-production- and fabric-finishing-type fabrics. In the classification by fibre characteristics, contractile-fibre-type shingosen fabrics showed the smallest values of D r and D 200. These features of shingosen fabrics in static and dynamic Drape behav...
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Changes of Static- and Dynamic- Drape Coefficients of Polyester-fiber Woven Fabrics by Weight Reduction in Sodium Hydroxide Solution
Journal of Textile Engineering, 2003Co-Authors: Mitsuo Matsudaira, Minzhang YangAbstract:The effect of weight reduction on static- and dynamic- Drape Coefficients of polyester-fiber fabrics was studied precisely using 2 sets of fabric samples, one of which had various weave densities of weft yarns. Following conclusions were obtained: (1) Node number; n, the revolving Drape increase Coefficient; Dr, and the dynamic Drape Coefficient at swinging motion; Dd, increase with the increase of weight reduction ratio, and saturate around the ratio of 23%. (2) Static Drape Coefficient; Ds, and the revolving Drape Coefficient at 200rpm; D200, decrease with the increase of ratio, however, the former also saturates around 20%. (3) The effect of yarn weave density at the same weight reduction appears clearly on Dd, D200, and Dr, and these Drape parameters increase with the increase in yarn weave density.
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polyester shingosen fabrics characterized by dynamic Drape Coefficient with swinging motion
Textile Research Journal, 2002Co-Authors: Mitsuo Matsudaira, Minzhang Yang, Toshiyasu Kinari, Sukenori ShintakuAbstract:The static and dynamic Drape behavior of polyester Shingosen fabrics is investigated using the new mechanical parameter of dynamic drapability, that is, the dynamic Drape Coefficient with swinging motion Dd. The Dd of the Peach Face fabric is small and that of the New Worsted fabric is large. On the other hand, there are almost no differences between each group of Shingosen fabrics in node numbers and conventional static Drape Coefficients. In classifying production characteristics, yam-processing fabrics show larger values of Dd than other fiber-production and fabric-finishing samples. In classifying fiber characteristics contractile fiber and ultra-fine fiber Shingosen fabrics show smaller values of Dd than irregular fiber fabrics.
Balaji Chandrasekaran - One of the best experts on this subject based on the ideXlab platform.
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Measurement and correlation od Drape Coefficient/related mechanical properties of cow nappa apparel leathers
Journal of The Society of Leather Technologists and Chemists, 2020Co-Authors: K Krishnaraj, Palanisamy Thanikaivelan, Balaji ChandrasekaranAbstract:Drape, which has been little studied, is an important property, which adds aesthetic appeal to fashion as well as functional apparel. In this study, parameters such as Drape Coefficient and number of nodes of cow nappa apparel leathers were measured and correlated with related mechanical properties such as softness, weight, thickness, flexural rigidity, initial tensile stiffness and formability. It is observed that the mean Drape Coefficient varies between 80.5 and 89.9% for individual cow nappa leathers from two different firms. The softness, flexural rigidity and initial tensile stiffness showed good correlation with the Drape Coefficient. The thickness and weight of cow nappa leathers also exhibited an inverse correlation with the Drape Coefficient. The results of this study will not only facilitate the basic understanding of the Drape behavior of cow nappa leathers but also be useful for leather selection, apparel design and construction.
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measurement and correlation od Drape Coefficient related mechanical properties of cow nappa apparel leathers
Journal of The Society of Leather Technologists and Chemists, 2010Co-Authors: K Krishnaraj, Palanisamy Thanikaivelan, Balaji ChandrasekaranAbstract:Drape, which has been little studied, is an important property, which adds aesthetic appeal to fashion as well as functional apparel. In this study, parameters such as Drape Coefficient and number of nodes of cow nappa apparel leathers were measured and correlated with related mechanical properties such as softness, weight, thickness, flexural rigidity, initial tensile stiffness and formability. It is observed that the mean Drape Coefficient varies between 80.5 and 89.9% for individual cow nappa leathers from two different firms. The softness, flexural rigidity and initial tensile stiffness showed good correlation with the Drape Coefficient. The thickness and weight of cow nappa leathers also exhibited an inverse correlation with the Drape Coefficient. The results of this study will not only facilitate the basic understanding of the Drape behavior of cow nappa leathers but also be useful for leather selection, apparel design and construction.
Thouraya Hamdi - One of the best experts on this subject based on the ideXlab platform.
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Fuzzy Logic Method for Predicting the Effect of Main Fabric Parameters Influencing Drape Phenomenon
Autex Research Journal, 2019Co-Authors: Thouraya Hamdi, Adel Ghith, Faten FayalaAbstract:Abstract The main aspect of this research was to predict the Drape parameters and describe clearly the Drape phenomenon using fuzzy logic method. Forecasting features allow manufacturers to save time and improve their productivity. The bending rigidity, (in warp, weft, and skew direction), shear rigidity, and weight of fabric samples were used as the key input variables for the model, whereas Drape Coefficient, Drape distance ratio, folds depth index, and node number were used as output/response variables. The results show that changing the values of fabric parameters significantly affected the fabric Drape and a representative correlation values were found between the experimental values and those calculated by the fuzzy system.
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Characterization of Drape profile using Fuzzy-C-Mean (FCM) method
Fibers and Polymers, 2017Co-Authors: Thouraya Hamdi, Adel Ghith, Faten FayalaAbstract:The overall objective of this study is to predict the behavior of the fabrics in details overlooked the Drape phenomenon using Fuzzy-C-Mean (FCM) method. In this paper, the fabric properties which are the weight, the bending rigidity B in three direction: warp, weft and skew direction and the shear rigidity G were preselected according to their influence on the Drape parameters (the Drape Coefficient DC, the node number NN, the fold depth index FDI and the Drape distance ratio DDR). The result showed that the Drape phenomenon was classified into three classes: low Drape, average Drape and high Drape. The values of Drape parameters were discussed in this work.
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A fuzzy logic method for predicting the Drape behavior
2017 International Conference on Engineering & MIS (ICEMIS), 2017Co-Authors: Thouraya Hamdi, Adel Ghith, Faten FayalaAbstract:Drape is particularly interesting because it is characterized by a deep ambivalence, oscillating between artistic pattern and type of clothing. It is influenced by the physical and mechanical fabrics properties. In this paper, we presented a method based on the fuzzy logic which the aim is the prediction of the Drape behavior (Drape Coefficient, Drape distance ratio, fold depth index and node number) from some fabrics properties such us the bending rigidity (warp, weft and skew direction), shear rigidity and weight of fabric samples.
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Prediction of Drape Coefficient by Artificial Neural Network
Autex Research Journal, 2015Co-Authors: Adel Ghith, Thouraya Hamdi, Faten FayalaAbstract:Abstract An artificial neural network (ANN) model was developed to predict the Drape Coefficient (DC). Hanging weight, Sample diameter and the bending rigidities in warp, weft and skew directions are selected as inputs of the ANN model. The ANN developed is a multilayer perceptron using a back-propagation algorithm with one hidden layer. The Drape Coefficient is measured by a Cusick Drape meter. Bending rigidities in different directions were calculated according to the Cantilever method. The DC obtained results show a good correlation between the experimental and the estimated ANN values. The results prove a significant relationship between the ANN inputs and the Drape Coefficient. The algorithm developed can easily predict the Drape Coefficient of fabrics at different diameters.
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A Principal Component Analysis (PCA) method for predicting the correlation between some fabric parameters and the Drape
Autex Research Journal, 2014Co-Authors: Thouraya Hamdi, Adel Ghith, Faten FayalaAbstract:A new method for predicting correlation between fabric parameters and the Drape is developed. This method utilises a Principal Component Analysis (PCA) of intercorrelated influencing parameters (bending rigidity, weight, thickness) and the Drape parameters (Drape Coefficient and the node number). This paper describes the PCA procedure and presents the similarities and contrasts between variables.
