Study on the Influence of Fiber Properties on Yarn Imperfections in Ring Spun Yarns

2012 ◽  
Vol 2 (3) ◽  
pp. 32-43 ◽  
Author(s):  
J. Ochola ◽  
J. Kisato ◽  
L. Kinuthia ◽  
J. Mwasiagi ◽  
A. Waithaka
Keyword(s):  
Fiber Properties ◽  
Spun Yarns

Predicting Hairiness for Ring and Rotor Spun Yarns and Analyzing the Impact of Fiber Properties

1997 ◽  
Vol 67 (9) ◽  
pp. 694-698 ◽  
Author(s):  
Reiyao Zhu ◽  
M. Dean Ethridge
Keyword(s):  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Fiber Properties ◽  
Fiber Property ◽  
Spun Yarns ◽  
Neural Network Algorithm ◽  
Yarn Hairiness ◽  
Rotor Yarn ◽  
Optimum Model ◽  
The Impact

Models for predicting ring or rotor yarn hairiness are built using a back-propagation neural network algorithm. These models are based on fiber property input measured by three different systems, hvi, afis, and fmt. We compare the prediction results from the different models, which reveal that yarn hairiness measurements from hvi data are superior to other models. The optimum model is based on the availability of all three measurement systems. We also study the impact of each fiber property on yarn hairiness. The dominant effect is fiber length. Each of the remaining properties has a different degree of impact on ring or rotor yarn hairiness.

Effect of Fertilizer Treatments on the Fiber Properties of Cotton 1

1965 ◽  
Vol 57 (2) ◽  
pp. 227-227 ◽  
Author(s):  
Jay C. Murray ◽  
Robert M. Reed ◽  
Ed S. Oswalt
Keyword(s):  
Fiber Properties

Genetic Gain in Fiber Properties of Upland Cotton under Varying Plant Densities

Crop Science ◽  
2008 ◽  
Vol 48 (4) ◽  
pp. 1321-1327 ◽  
Author(s):  
Brian M. Schwartz ◽  
C. Wayne Smith
Keyword(s):  
Genetic Gain ◽  
Upland Cotton ◽  
Fiber Properties ◽  
Plant Densities

scholarly journals Non-Wood Fibers: Relationships of Fiber Properties with Pulp Properties

ACS Omega ◽  
2021 ◽  
Author(s):  
Taslima Ferdous ◽  
Yonghao Ni ◽  
Mohammad Abdul Quaiyyum ◽  
Mohammad Nashir Uddin ◽  
Md Sarwar Jahan
Keyword(s):  
Wood Fibers ◽  
Fiber Properties ◽  
Pulp Properties

scholarly journals Effects of Microwave Treatment in Immersed Conditions on the Mechanical Properties of Jute Yarn

Fibers ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 40
Author(s):  
Felicia Syrén ◽  
Joel Peterson ◽  
Nawar Kadi
Keyword(s):  
Mechanical Properties ◽  
Tensile Testing ◽  
Glass Fibers ◽  
Microwave Treatment ◽  
Environmental Benefits ◽  
Treatment Result ◽  
Bast Fiber ◽  
Fiber Properties ◽  
Yarn Thickness ◽  
Jute Yarn

The versatile bast fiber jute has environmental benefits compared to glass fibers. However, for jute to be used in a composite, the fiber properties need to be altered. This study aims to improve the mechanical properties of jute yarn to make it more suitable for technical applications as a composite. To alter its mechanical properties, jute yarn was immersed in water during microwave treatment. The time and power of the microwave settings differed between runs. Two states of the yarn were tested: fastened and un-fastened. Tensile testing was used at the yarn and fiber level, followed by Fourier-transform infrared spectroscopy (FTIR) and microscopy. The treatment result demonstrated the ability to increase the elongation of the jute yarn by 70%. The tenacity was also increased by 34% in the fastened state and 20% in the un-fastened state. FTIR showed that no change in the molecular structure occurred. The treatments resulted in a change of yarn thickness depending on the state of the yarn. The results indicate that microwave treatment can be used to make jute more suitable for technical applications depending on the microwave treatment parameters.

A Computer Simulation Approach for Engineering Air-Jet Spun Yarns

1997 ◽  
Vol 67 (3) ◽  
pp. 223-230 ◽  
Author(s):  
Rangaswamy Rajamanickam ◽  
Steven M. Hansen ◽  
Sundaresan Jayaraman
Keyword(s):  
Computer Simulation ◽  
Computer Simulations ◽  
Fiber Length ◽  
Experimental Investigations ◽  
Simulation Approach ◽  
Air Jet ◽  
Fiber Fineness ◽  
Spun Yarns ◽  
Yarn Count ◽  
Wrap Angle

A computer simulation approach for engineering air-jet spun yarns is proposed, and the advantages of computer simulations over experimental investigations and stand-alone mathematical models are discussed. Interactions of the following factors in air-jet spun yarns are analyzed using computer simulations: yarn count and fiber fineness, fiber tenacity and fiber friction, fiber length and fiber friction, and number of wrapper fibers and wrap angle. Based on the results of these simulations, yarn engineering approaches to optimize strength are suggested.

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