The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Ruihua Yang - One of the best experts on this subject based on the ideXlab platform.
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Blending effects and performance of ring-, Rotor-, and air-jet-Spun color-blended viscose Yarns
Cellulose, 2021Co-Authors: Ruihua Yang, Bo Pan, Li Jun WangAbstract:Blending effect of color blended Yarns, which plays a critical important role to the fabrics styles, is affected by Yarn structure, spinning processes, and blending methods. In this study, color blended viscose Yarns were produced by compact ring spinning, Rotor spinning and air-jet vortex spinning with single-passage and three-passage color-blended slivers. The blending effect of these Yarns was evaluated by Hamilton transfer index. Additionally, Yarn performance was tested, compared and analyzed, including strength, hairiness and evenness. Results show that the blending effect of the Rotor Spun Yarns is the best with both types of slivers. Even though such Yarns have wrap fibers on the surface like the air-jet vortex Yarns, the Yarn structures are different. Compared to the tightly wrapped fiber on the Rotor-Spun Yarns, wrapped fibers form a shield on core fibers of the air-jet vortex Yarns. Among the three types of Yarns, compact ring Yarns have higher mean value of evenness and its value also changes with the passage number of sliver, Yarn linear density and the spinning method. Hairiness of air-jet vortex Yarn is the lowest, followed by Rotor Spun Yarn and then the compact ring-spinning Yarn. While physical performance such as tenacity, breaking elongation, and break work of compact-ring-spinning Yarns are the greatest among the three types of Yarns.
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Blending effect of Rotor Spun Yarn with different blending methods
Industria Textila, 2019Co-Authors: Ruihua Yang, Qian Qian Deng, Chun Ping Xie, Weidong GaoAbstract:Color blended Rotor Spun Yarn mixing with different methods were Spun. Three blending methods were used, one passage of drawing, three passages of drawing and rovings during multi-channel spinning. Multi-channel spinning is modified on Rotor spinning machine, which is implemented by a novel mechanical system specially designed to incorporate three separate feed rollers side by side and controlled by servo motors with PLC. Using this new method, blend ratio of Yarn can be controlled and realized by asynchronous drafted rovings. 37 type of color blend Yarn were produced with different blending ratios. And each Yarn was intercepted with 5 cross sections and a total of 185 cross-sectional images were taken. Hamilton index of different colored fibers were calculated of the each type of Yarns. And sum of absolute values of Hamilton index were got to demonstrated fibers blending effect in Yarns cross sections. All the Hamilton index of the Yarns prepared by the three above mentioned methods were all around 5, much below 20. The results showed that regardless of blending method used, the blending effects of Rotor Spun Yarns were all very good.
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kubelka munk double constant theory of digital Rotor Spun color blended Yarn
Dyes and Pigments, 2019Co-Authors: Ruihua Yang, Chun Ping Xie, Hongbo WangAbstract:Abstract Different colored fibers were blended into Yarns by digital Rotor spinning to meet the market demand of multi-species and small-batch production. In order to study the color blending effect of Spun Yarn, two-component and three-component blended Yarns were obtained by red, yellow and blue slivers, and woven as fabrics. Parameters of K-M double constant theoretical model were calculated by the color characteristics of fabrics. The absorption coefficient (K) and the scattering coefficient (S) of the monochromatic fiber were calculated by the method of least squares and the method of relative value, respectively. According to the above methods, two Kubelka-Munk double constant color blending models were built. The two models were used to predict colors and blending ratios of fabrics. The results show that the K-M model established by the least squares method can better predict color blending effect and the blending ratio of digital Rotor Spun Yarn.
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color matching of fiber blends stearns noechel model of digital Rotor Spun Yarn
Color Research and Application, 2018Co-Authors: Ruihua Yang, Rui Ye Han, Yuan Xue, Weidong GaoAbstract:Stearns-Noechel model was utilized as a primary reference to study color matching principles of digital Rotor Spun Yarn. Three primary colored (red, yellow and blue) cotton fibers were used to spin blended Yarns. Spectral reflectance of the two-component and three-component samples was measured with data color spectrophotometer. For these samples, the Stearns-Noechel model parameter M was determined. Four methods were employed to calculate the M value to improve accuracy of the model, 1.Classical method, named as M1; 2.Optimizing the M1 value obtained by the classical method considering the wavelength factor, named as M2; 3.Simplified M2 according to the linear correlation with the wavelength, named as M3; 4. Simplified M2 according to the segmentation correlation with the wavelength, named as M4. The study shows that average color difference of the two-component decreases from 2.7 to 1.48, and for three-component samples from 3.32 to 1.66, by using M2 instead of M1. While calculated using M3, the color difference of the two types of samples will be 1.73 and 2.19, correspondingly. This cannot meet color matching needs. As for M4, the average color difference of the two categories will be 1.54 and 1.91, better than the result obtained using M1 and M3, worse than M2.
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Structure and performance of color blended Rotor Spun Yarn produced by a novel frame with asynchronous feed rollers
Textile Research Journal, 2017Co-Authors: Ruihua Yang, Xue Yuan, Weidong GaoAbstract:This paper introduces a new and flexible spinning method that is modified on a Rotor spinning machine. The modification is implemented by a novel mechanical system specially designed to incorporate...
A R Moghassem - One of the best experts on this subject based on the ideXlab platform.
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Employment of PROMETHEE approach for selecting suitable Yarn for weft knitting process considering drawing frame variables
Fibers and Polymers, 2014Co-Authors: P Valipour, A R MoghassemAbstract:The improvement of Yarn properties is an obligatory but a difficult task to get a quality product and to enhance efficiency of production processes. For this purpose it is necessary to create a close compatibility between Yarn characteristics and subsequent processes requirements. A survey of the literature will reveal that, there are various researches in which statistical approaches have been employed to introduce appropriate Yarn quality parameters in accordance with the requirements of next processes. But, mentioned analysis is a multi-criteria decision making where the differences between the values of the Yarn parameters and preferences of the producer about Yarn characteristics to get a product with defined properties should be considered. However, this goal can not be achieved by using statistical methods. Therefore, this paper makes an attempt to apply preference ranking organization method for enrichment evaluations (PROMETHEE) for the first time in the field of textile science in selecting suitable drawing frame variables for 30 Ne Rotor Spun Yarn intended to be used for weft knitting process. The performances of three variables in a drawing frame were evaluated based on seven quality parameters of forty eight Rotor Spun Yarns using this algorithm. Final ranking was elicited in accordance with PROMETHEE method. Consequently, sensitivity analysis was conducted to assess the stability of the proposed final ranking.
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Employment of PROMETHEE approach for selecting suitable Yarn for weft knitting process considering drawing frame variables
Fibers and Polymers, 2014Co-Authors: P Valipour, A R MoghassemAbstract:The improvement of Yarn properties is an obligatory but a difficult task to get a quality product and to enhance efficiency of production processes. For this purpose it is necessary to create a close compatibility between Yarn characteristics and subsequent processes requirements. A survey of the literature will reveal that, there are various researches in which statistical approaches have been employed to introduce appropriate Yarn quality parameters in accordance with the requirements of next processes. But, mentioned analysis is a multi-criteria decision making where the differences between the values of the Yarn parameters and preferences of the producer about Yarn characteristics to get a product with defined properties should be considered. However, this goal can not be achieved by using statistical methods. Therefore, this paper makes an attempt to apply preference ranking organization method for enrichment evaluations (PROMETHEE) for the first time in the field of textile science in selecting suitable drawing frame variables for 30 Ne Rotor Spun Yarn intended to be used for weft knitting process. The performances of three variables in a drawing frame were evaluated based on seven quality parameters of forty eight Rotor Spun Yarns using this algorithm. Final ranking was elicited in accordance with PROMETHEE method. Consequently, sensitivity analysis was conducted to assess the stability of the proposed final ranking.
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Comparison among Two Analytical Methods of Multi-Criteria Decision Making for Appropriate Spinning Condition Selection
2013Co-Authors: A R MoghassemAbstract:Abstract: This paper makes an attempt to evaluate final ranking of the alternatives proposed by two different approaches of multi-criteria decision making (MCDM) in detecting the suitable spinning process variables for Spun Yarn intended to be used in knitting process. Performances of three variables in a draw frame were evaluated on the basis of seven quality parameters of the forty eight Rotor Yarns using technique for order preference by similarity to ideal solutions (TOPSIS) and vlseKriterijumska optimizacija i kompromisno resenje (VIKOR). Both methods are based on an aggregating function illustrating closeness to the ideal. Linear normalization and vector normalization are used in VIKOR and TOPSIS respectively to eliminate the units of criterion function. Difference in normalization technique affected final rankings as they introduced two different alternatives as the best. It means that, selecting appropriate MCDM method to rank feasible alternatives and accepting proposed Yarn sample or process condition is related to the economical advantages and efficiency of the spinning and knitting processes. Key words: Multi-criteria decision making TOPSIS approach VIKOR method Draw frame Rotor Spun Yarn Weft knitted fabri
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Spinning preparation parameters selection for Rotor Spun knitted fabric using VIKOR method of multicriteria decision-making
Journal of the Textile Institute, 2013Co-Authors: Alireza Fallahpour, A R MoghassemAbstract:Selection of spinning preparation parameters which affects properties of the final Yarn and subsequent process is a multicriteria decision-making problem. Different statistical methods and multicriteria approaches have been used to solve such kind of problems. This paper presents a new multicriteria decision-making technique to select the suitable drawing frame parameters for 30Ne Rotor Spun Yarn intended to be used for weft knitting process. Three important variables in drawing frame including distance between back and middle rolls, delivery speed, and break draft were considered. Their performances were evaluated on the basis of seven quality parameters of the 48 Rotor Spun Yarns using VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. The final ranking of the parameters was elicited in accordance with this procedure. Consequently, the stability of the proposed final ranking was verified after sensitivity analysis.
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Evaluating applicability of VIKOR method of multi-criteria decision making for parameters selection problem in Rotor spinning
Fibers and Polymers, 2012Co-Authors: A. R. Fallahpour, A R MoghassemAbstract:Optimum spinning machine parameters selection among available alternatives with different significances is a difficult task in textile industry. To overcome disadvantages associated with statistical methods that are used in such kind of problems, multi-criteria decision making approaches (MCDM) were employed by researchers. TOPSIS, AHP-TOPSIS and ELECTRE are three popular techniques in spinning problems. VIKOR, the Serbian name; Vlse Kriterijumska Optimizacija I Kompromisno Resenje, means multi-criteria optimization and compromise solution is a novel approach that has priority over other MCDM methods in terms of precision in final ranking. In this study, selecting the appropriate doffing tube components and its adjustment for 30Ne Rotor Spun Yarn that is intended to be used for weft-knitted fabric will be provided by this approach. Yarn samples were Spun considering three variables namely, the distance between the nozzle and Rotor, the extractive nozzle and the draw-off tube. Feasible alternatives were ranked on the basis of the Yarn quality parameters by the VIKOR and the best alternative for increasing weft-knitting machine efficiency was introduced. According to the final ranking, the spinning condition in which the sample was Spun using a spiral nozzle, a doffing tube without a torque stop and a closer setting had the highest performance.
Weidong Gao - One of the best experts on this subject based on the ideXlab platform.
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Blending effect of Rotor Spun Yarn with different blending methods
Industria Textila, 2019Co-Authors: Ruihua Yang, Qian Qian Deng, Chun Ping Xie, Weidong GaoAbstract:Color blended Rotor Spun Yarn mixing with different methods were Spun. Three blending methods were used, one passage of drawing, three passages of drawing and rovings during multi-channel spinning. Multi-channel spinning is modified on Rotor spinning machine, which is implemented by a novel mechanical system specially designed to incorporate three separate feed rollers side by side and controlled by servo motors with PLC. Using this new method, blend ratio of Yarn can be controlled and realized by asynchronous drafted rovings. 37 type of color blend Yarn were produced with different blending ratios. And each Yarn was intercepted with 5 cross sections and a total of 185 cross-sectional images were taken. Hamilton index of different colored fibers were calculated of the each type of Yarns. And sum of absolute values of Hamilton index were got to demonstrated fibers blending effect in Yarns cross sections. All the Hamilton index of the Yarns prepared by the three above mentioned methods were all around 5, much below 20. The results showed that regardless of blending method used, the blending effects of Rotor Spun Yarns were all very good.
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color matching of fiber blends stearns noechel model of digital Rotor Spun Yarn
Color Research and Application, 2018Co-Authors: Ruihua Yang, Rui Ye Han, Yuan Xue, Weidong GaoAbstract:Stearns-Noechel model was utilized as a primary reference to study color matching principles of digital Rotor Spun Yarn. Three primary colored (red, yellow and blue) cotton fibers were used to spin blended Yarns. Spectral reflectance of the two-component and three-component samples was measured with data color spectrophotometer. For these samples, the Stearns-Noechel model parameter M was determined. Four methods were employed to calculate the M value to improve accuracy of the model, 1.Classical method, named as M1; 2.Optimizing the M1 value obtained by the classical method considering the wavelength factor, named as M2; 3.Simplified M2 according to the linear correlation with the wavelength, named as M3; 4. Simplified M2 according to the segmentation correlation with the wavelength, named as M4. The study shows that average color difference of the two-component decreases from 2.7 to 1.48, and for three-component samples from 3.32 to 1.66, by using M2 instead of M1. While calculated using M3, the color difference of the two types of samples will be 1.73 and 2.19, correspondingly. This cannot meet color matching needs. As for M4, the average color difference of the two categories will be 1.54 and 1.91, better than the result obtained using M1 and M3, worse than M2.
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Structure and performance of color blended Rotor Spun Yarn produced by a novel frame with asynchronous feed rollers
Textile Research Journal, 2017Co-Authors: Ruihua Yang, Xue Yuan, Weidong GaoAbstract:This paper introduces a new and flexible spinning method that is modified on a Rotor spinning machine. The modification is implemented by a novel mechanical system specially designed to incorporate...
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Color matching of fiber blends: Stearns‐Noechel model of digital Rotor Spun Yarn
Color Research & Application, 2017Co-Authors: Ruihua Yang, Rui Ye Han, Yuan Xue, Weidong GaoAbstract:Stearns-Noechel model was utilized as a primary reference to study color matching principles of digital Rotor Spun Yarn. Three primary colored (red, yellow and blue) cotton fibers were used to spin blended Yarns. Spectral reflectance of the two-component and three-component samples was measured with data color spectrophotometer. For these samples, the Stearns-Noechel model parameter M was determined. Four methods were employed to calculate the M value to improve accuracy of the model, 1.Classical method, named as M1; 2.Optimizing the M1 value obtained by the classical method considering the wavelength factor, named as M2; 3.Simplified M2 according to the linear correlation with the wavelength, named as M3; 4. Simplified M2 according to the segmentation correlation with the wavelength, named as M4. The study shows that average color difference of the two-component decreases from 2.7 to 1.48, and for three-component samples from 3.32 to 1.66, by using M2 instead of M1. While calculated using M3, the color difference of the two types of samples will be 1.73 and 2.19, correspondingly. This cannot meet color matching needs. As for M4, the average color difference of the two categories will be 1.54 and 1.91, better than the result obtained using M1 and M3, worse than M2.
Hongbo Wang - One of the best experts on this subject based on the ideXlab platform.
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kubelka munk double constant theory of digital Rotor Spun color blended Yarn
Dyes and Pigments, 2019Co-Authors: Ruihua Yang, Chun Ping Xie, Hongbo WangAbstract:Abstract Different colored fibers were blended into Yarns by digital Rotor spinning to meet the market demand of multi-species and small-batch production. In order to study the color blending effect of Spun Yarn, two-component and three-component blended Yarns were obtained by red, yellow and blue slivers, and woven as fabrics. Parameters of K-M double constant theoretical model were calculated by the color characteristics of fabrics. The absorption coefficient (K) and the scattering coefficient (S) of the monochromatic fiber were calculated by the method of least squares and the method of relative value, respectively. According to the above methods, two Kubelka-Munk double constant color blending models were built. The two models were used to predict colors and blending ratios of fabrics. The results show that the K-M model established by the least squares method can better predict color blending effect and the blending ratio of digital Rotor Spun Yarn.
Ronobir Chandra Sarker - One of the best experts on this subject based on the ideXlab platform.
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The Influence of Some Process Parametres on Rotor Spun Yarn Quality Produced from Recycled Cotton Spinning Wastes
International Journal of Textile Science, 2015Co-Authors: Khalilur Rahman Khan, Ronobir Chandra Sarker, Habibur RahmanAbstract:Rotor Spun Yarns from recycled cotton spinning wastes were manufactured by means of Rotor spinning process and tested for Yarn imperfections and strength.Results of studies are examined the effect of cleaning intensity,cylinder speed and combing roller speed of Rotor frame by using box and behnken experimental design. Observing the value of co-efficent of determination,it can be said that the properties of Yarn imperfections affectedsignificantly by our selected parametres in compared with the incidence of Yarn strength. Yarn imperfections (Thick place and Neps) results improve with increasing cylinder speed although higher cylinder speed shows slightly different results in case of Yarn neps. Increase of opening roller speed improves Yarn imperfections quality at lower cleaning intensitysetting of UNIclean and although further increase of opening roller speed hardly improves the results of Yarn neps(+280%) but increases the value of thick place in Yarn. Lower cleaning intensity setting gives better Rotor Yarn strength produced by using 100% recycled cotton wastes. Experiments based on a 60 tex Rotor Yarn indicate that our selected independent variables influence Rotor Yarn quality not linearly but quatradically with few exceptions.
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Statistical Analyses and Predicting the Properties of Cotton/Waste Blended Open-End Rotor Yarn Using Taguchi OA Design
International Journal of Textile Science, 2015Co-Authors: Khalilur Rahman Khan, Mohammad Mobarak Hossain, Ronobir Chandra SarkerAbstract:Quality and cost of production are two important considering parts during production of cotton/waste blended open-end Rotor Spun Yarn. Nowadays, blending of spinning waste with virgin cotton is a common phenomenon in Rotor spinning intended to lower the production cost. As a result, understanding the relationships between properties of cotton/waste blended Rotor Yarn and different spinning conditions are important for spinner to maintain acceptable quality. However, this paper focuses on predicting the properties of cotton/waste blended Rotor Yarn, using taguchi OA experimental design. In this study, the experimental quality characteristics of 16 Ne Rotor Yarn focused on are the, unevenness, imperfections, strength and elongation wherein before blend ratios, blending technique, two process parameters namely cylinder speed and Rotor speed were used as predictors. Using ANOVA, the significant factors influencing the quality characteristics of Rotor Spun Yarn are obtained and analyzed by interaction matrix of dependent variables. Result shows that the most influential parameter in our investigation was waste proportion as expected. Though inferior in strength, the benefits of draw frame blending in OE spinning may be more than blow room blending in terms of reducing the imperfection, irregularity and Yarn elongation during processing of higher waste mixing. With increasing Rotor speed, Yarn evenness, imperfection and strength show a significant deterioration, in case of elongation, no consistent trend was observed.
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statistical analyses and predicting the properties of cotton waste blended open end Rotor Yarn using taguchi oa design
International Journal of Textile Science, 2015Co-Authors: Khalilur Rahman Khan, Mohammad Mobarak Hossain, Ronobir Chandra SarkerAbstract:Quality and cost of production are two important considering parts during production of cotton/waste blended open-end Rotor Spun Yarn. Nowadays, blending of spinning waste with virgin cotton is a common phenomenon in Rotor spinning intended to lower the production cost. As a result, understanding the relationships between properties of cotton/waste blended Rotor Yarn and different spinning conditions are important for spinner to maintain acceptable quality. However, this paper focuses on predicting the properties of cotton/waste blended Rotor Yarn, using taguchi OA experimental design. In this study, the experimental quality characteristics of 16 Ne Rotor Yarn focused on are the, unevenness, imperfections, strength and elongation wherein before blend ratios, blending technique, two process parameters namely cylinder speed and Rotor speed were used as predictors. Using ANOVA, the significant factors influencing the quality characteristics of Rotor Spun Yarn are obtained and analyzed by interaction matrix of dependent variables. Result shows that the most influential parameter in our investigation was waste proportion as expected. Though inferior in strength, the benefits of draw frame blending in OE spinning may be more than blow room blending in terms of reducing the imperfection, irregularity and Yarn elongation during processing of higher waste mixing. With increasing Rotor speed, Yarn evenness, imperfection and strength show a significant deterioration, in case of elongation, no consistent trend was observed.
