The Experts below are selected from a list of 27 Experts worldwide ranked by ideXlab platform
Ilha İ. - One of the best experts on this subject based on the ideXlab platform.
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A comparative prediction for tensile properties of ternary blended open-end rotor yarns using regression and neural network models
Taylor and Francis Ltd., 2018Co-Authors: Erbil Y., Abaarsla O., Ilha İ.Abstract:This study focused on predicting tensile properties of PES/CV/PAN blended Open-End Rotor yarns. The effective factors were fiber blend ratios (six stages from 0 to 100%), linear density (three count levels), mixing method (carding machine and Drawframe), and number of passages in Drawframe (one and two times) as production parameters. We performed a stepwise multiple linear regression (MLR) analysis and established an artificial neural network (ANN) model that trained with backpropagation rule as Levenberg–Marquardt. Then, we conducted a comparative analysis for both models in terms of prediction performance. As a result, ANN has given a slightly better prediction values than MLR for breaking strength but significantly better prediction values for breaking elongation. © 2017 The Textile Institute.Firat University Scientific Research Projects Management UnitThis study was supported by Çukurova University Scientific Research Projects Unit. The project id was [MMF2007D21]
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Predicting the unevenness of polyester/viscose/acrylic-blended open-end rotor spun yarns
Taylor and Francis Ltd., 2015Co-Authors: Erbil Y., Abaarsla O., Ilha İ.Abstract:Mixture spinning aims to bring together the best properties of two or more fiber types into one single yarn. In mixture spinning, while some fiber types have impacts to increase the yarn strength, the other fiber types may have impacts to improve the yarn unevenness values. In this study, it is aimed to obtain a regression model that predicts the unevenness (CVm%) of polyester/viscose/acrylic (PES/CV/PAN)-blended OE-rotor spun yarns. For this purpose, the methods of statistical analysis as analysis of variance and Combined Analysis were used. In the context of experimental design, basic parameters affecting the yarn unevenness were selected as: the type of fiber mixture (by carding machine or Drawframe), blend ratio (from 0 to 100% at five different rates), and the yarn count (24, 30 and 36 tex). As a result, a statistically significant (p = 0.05) model has been established to estimate the unevenness of PES/CV/PAN blended OE-rotor yarns. In addition, two-dimensional surface graphics have been created to view CVm% values according to the fiber ratios in ternary mixtures. For all of the yarn samples, the increase in acrylic ratio has been found to have positive impact on the CVm% values. © 2014, © 2014 The Textile Institute
Chattopadhyay S K - One of the best experts on this subject based on the ideXlab platform.
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Influence of preparatory processes on blend irregularities of rotor-spun blended yarns
NISCAIR-CSIR India, 1995Co-Authors: Gupte A A, Hattak L, Chattopadhyay S KAbstract:79-82The effect of flock blending, Drawframe blending and Drawframe passage on blend homogeneity and yarn quality of polyester-viscose and polyester-cotton blended yarns has been studied. It is observed that for both the blended yarns, flock blending results in better blend intimacy compared to Drawframe blending. An additional second Drawframe passage after flock blending has no significant effect on the index of blend irregularity. However, it improves the yarn evenness to the level of Drawframe blended yarns.
Erbil Y. - One of the best experts on this subject based on the ideXlab platform.
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A comparative prediction for tensile properties of ternary blended open-end rotor yarns using regression and neural network models
Taylor and Francis Ltd., 2018Co-Authors: Erbil Y., Abaarsla O., Ilha İ.Abstract:This study focused on predicting tensile properties of PES/CV/PAN blended Open-End Rotor yarns. The effective factors were fiber blend ratios (six stages from 0 to 100%), linear density (three count levels), mixing method (carding machine and Drawframe), and number of passages in Drawframe (one and two times) as production parameters. We performed a stepwise multiple linear regression (MLR) analysis and established an artificial neural network (ANN) model that trained with backpropagation rule as Levenberg–Marquardt. Then, we conducted a comparative analysis for both models in terms of prediction performance. As a result, ANN has given a slightly better prediction values than MLR for breaking strength but significantly better prediction values for breaking elongation. © 2017 The Textile Institute.Firat University Scientific Research Projects Management UnitThis study was supported by Çukurova University Scientific Research Projects Unit. The project id was [MMF2007D21]
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Predicting the unevenness of polyester/viscose/acrylic-blended open-end rotor spun yarns
Taylor and Francis Ltd., 2015Co-Authors: Erbil Y., Abaarsla O., Ilha İ.Abstract:Mixture spinning aims to bring together the best properties of two or more fiber types into one single yarn. In mixture spinning, while some fiber types have impacts to increase the yarn strength, the other fiber types may have impacts to improve the yarn unevenness values. In this study, it is aimed to obtain a regression model that predicts the unevenness (CVm%) of polyester/viscose/acrylic (PES/CV/PAN)-blended OE-rotor spun yarns. For this purpose, the methods of statistical analysis as analysis of variance and Combined Analysis were used. In the context of experimental design, basic parameters affecting the yarn unevenness were selected as: the type of fiber mixture (by carding machine or Drawframe), blend ratio (from 0 to 100% at five different rates), and the yarn count (24, 30 and 36 tex). As a result, a statistically significant (p = 0.05) model has been established to estimate the unevenness of PES/CV/PAN blended OE-rotor yarns. In addition, two-dimensional surface graphics have been created to view CVm% values according to the fiber ratios in ternary mixtures. For all of the yarn samples, the increase in acrylic ratio has been found to have positive impact on the CVm% values. © 2014, © 2014 The Textile Institute
Salhotra K R - One of the best experts on this subject based on the ideXlab platform.
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Influence of some process parameters on the properties of viscose fibre rotor-spun yarns
NISCAIR-CSIR India, 2001Co-Authors: Tyagi G K, Kaushik R C D, Salhotra K RAbstract:255-260The influence of opening roller speed and sliver preparation on the properties of viscose OE rotor yarns spun from the fibres of different linear densities at high rotor speeds has been studied. It is observed that the fine fibres offer significant advantage in regard to yarn tenacity, breaking extension, work of rupture, abrasion resistance and mass irregularity. Each of these quality parameters improves initially but deteriorates thereafter as the opening roller speed is further increased beyond the optimum level. The rate of decline in the properties is greater when the yarns are produced at higher rotor speeds. Such decline in the properties at higher rotor and opening roller speeds is, however, more marked in yarns spun with single passage Drawframe sliver.
Mukhopadhyay A - One of the best experts on this subject based on the ideXlab platform.
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Blend irregularity and migratory behaviour of blend constituents in AJS polyester-viscose yarns
NISCAIR-CSIR India, 1999Co-Authors: Punj S K, Mukhopadhyay AAbstract:247-252Image analyzer has been used to study the effect of blend percentage on blend irregularity both in the cross -section and on the surface of polyester- viscose blended air-jet spun yarn. This method is rapid and precise enough to determine zone wise number distribution of the blend constituents in yarn cross-section. Within and between zone variance and index of blend irregularity values are derived which reflect the extent of blend irregularity for blowroom and Drawframe blended yarns. The above parameters are minimum for polyester-viscose (67:33) blowroom blended yarns and higher for extreme blends. Migratory behaviour of polyester and viscose fibres with the change in blend proportion has also been studied using tracer fibres. Migratory behaviour of fibers is found to get influenced by blend proportion apart from the intrinsic characteristics of fibres. In the blended yarns, viscose component migrates from core to surface. Polyester-rich blended yarn possesses maximum wraps/mm and cork-screw type of structure
