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S. Subramanian, A. Venkatachalam, V. Subramaniam (2007)
Prediction and optimization of yarn properties using genetic algorithm/artificial neural network
S. Bhattacharya, J. Ajmeri (2013)
Investigation of Air Permeability of Cotton & Modal Knitted Fabrics
Md. Khan, R. Sarker, Mohammad Khan (2014)
Interactive Effect of Blend Proportion and Process Parameters on Ring Spun Yarn Properties and Fabric GSM using Box and Behnken Experimental DesignInternational journal of engineering research and technology, 3
(2016)
A Comparison of the Physical Properties of Cotton, Modal and Acrylic Yarns spun in Ring and OE-Rotor
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Optimization of Top Roller Diameter of Ring AUTEX Research Journal, DOI: 10.1515/aut-2018-0036 © AUTEX http://www.autexrj.com/ 9 Machine to Enhance Yarn Evenness by using Artificial Intelligence
A. Kumar, S. Ishtiaque, K. Salhotra (2006)
Analysis of spinning process using the Taguchi method. Part IV: Effect of spinning process variables on tensile properties of ring, rotor and air-jet yarnsThe Journal of The Textile Institute, 97
Serin Mavruz, R. Ogulata (2010)
Taguchi Approach for the Optimisation of the Bursting Strength of Knitted FabricsFibres & Textiles in Eastern Europe
Anindya Ghosh, P. Mal, A. Majumdar, Debamalya Banerjee (2017)
An Investigation On Air and Thermal Transmission Through Knitted Fabric Structures Using the Taguchi MethodAutex Research Journal, 17
J. Barrett (2007)
Taguchi's Quality Engineering HandbookTechnometrics, 49
(2006)
Analysis of Spinning Process Using Taguchi Method Table 5. ANOVA results for S/N ratio of yarn T, U% and H Parameters DF Sum of square Mean square F-ratio Percentage contribution Tenacity MC
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Prediction of Blended Yarn Evenness and Tensile Properties by Using Artificial Neural Network and Multiple Linear RegressionAutex Research Journal, 16
S. Ishtiaque, R. Rengasamy, A. Ghosh (2012)
Optinlization of ring frame process parameters for better yam quality and production
Rajanna Gotipamul ( 2005 )
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Optimization of top roller diameter of ring machine to enhance yarn evenness by using artificial intelligence
K. Khan, Mohammad Hossain, R. Sarker (2015)
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(2013)
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A. Kumar, S. Ishtiaque, K. Salhotra (2006)
STUDY OF EFFECT OF SPINNING PROCESS VARIABLES ON THE PACKING DENSITY OF RING, ROTOR AND AIR-JET YARNS USING THE TAGUCHI METHODAutex Research Journal, 6
Filiz Şekerden (2011)
Investigation on the Unevenness, Tenacity and Elongation Properties of Bamboo/Cotton Blended YarnsFibres & Textiles in Eastern Europe
(2016)
A Comparison of the Physical Properties of Cotton , Modal and Acrylic Yarns spun in Ring and OE - Rotor Spinning Systems
A. Majumdar, A. Das, R. Alagirusamy, V. Kothari (2013)
Process control in textile manufacturing
S. Sette, L. Langenhove (2002)
Optimising the Fibre-to-Yarn Production Process: Finding a Blend of Fibre Qualities to Create an Optimal Price/Quality Yarn.Autex Research Journal, 2
T. Hussain, Farooq Arain, Z. Malik (2017)
Use of Taguchi Method and Grey Relational Analysis to Optimize Multiple Yarn Characteristics in Open-End Rotor SpinningAutex Research Journal, 17
A. Kumar, K. Salhotra, S. Ishtiaque (2006)
Analysis of spinning process using the Taguchi method. Part V: Effect of spinning processvariables on physical properties of ring, rotor and air-jet yarnsThe Journal of The Textile Institute, 97
S. Ishtiaque, R. Rengasamy, Anindya Ghosh (2004)
Optimization of speed frame process parameters for better yarn quality and production
A. Basu, R. Gotipamul (2005)
Effect of some ring spinning and winding parameters on extra sensitive yarn imperfections
(2007)
Prediction and Optimization of Yarn Properties using Genetic Algorithm/Artificial
S. Malik, A. Tanwari, U. Syed, R. Qureshi, N. Mengal (2012)
Blended Yarn Analysis: Part I—Influence of Blend Ratio and Break Draft on Mass Variation, Hairiness, and Physical Properties of 15 Tex PES/CO Blended Ring-Spun YarnJournal of Natural Fibers, 9
Mohammad Hatamvand, S. Mirjalili, S. Fattahi, T. Bashir, M. Skrifvars (2017)
Optimum Drafting Conditions Of Polyester And Viscose Blend YarnsAutex Research Journal, 17
AbstractThe influence of Modal–cotton (MC) fibre blend ratio and ring frame machine parameters such as front top roller loading and break draft on the blended yarn properties has been studied. Compact MC blended yarn samples of 14.75 tex with three different MC fibre blend ratio has been produced in a LR 6 ring spinning frame fitted with Suessen Compact drafting system. A robust design optimisation to minimise the variations of the output yarn properties such as blended yarn tenacity, yarn unevenness and hairiness caused because of the variations in the material as well as machine setting parameters is achieved through the Taguchi parametric design approach. It is found that the maximum compact MC blended yarn tenacity is 23.76 g/tex, which is influenced very much by MC fibre blend ratio but meagrely by top roller loading and break draft. Similarly, the minimum 9.54 U% and 3.59 hairiness index are achieved with 100:0 and 70:30 MC fibre blend ratio, respectively, at 23-kg top roller loading. Statistical ANOVA analysis is performed on the results and optimum values are obtained within the 95% confidential level through confirmation experiments.
Autex Research Journal – de Gruyter
Published: Mar 1, 2019
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