scholarly journals Thermal resistance of viscose socks

2019 ◽  
Vol 68 (3) ◽  
pp. 18-21
Author(s):  
Beti Rogina-Car ◽  
Zenun Skenderi ◽  
Zlatko Vrljičak
Keyword(s):  
Thermal Resistance ◽  
Raw Material ◽  
Cotton Yarn ◽  
Viscose Yarn ◽  
Cylinder Diameter ◽  
Yarn Count ◽  
Single Jersey

Men's viscose socks size 42 were designed and manufactured on an automatic sock knitting machine with a cylinder diameter of 95 mm (3 ¾ inches) which knits with 108 needles. Socks were manufactured of 20 tex viscose yarn, 156 and 220 dtex filament PA 6.6 yarn and 25 tex cotton yarn in multiple plated single jersey structure. The sock cuff contained an interlaced elastane yarn. Sock weight and sock thickness were determined, the height of the sock leg, the length of the sock foot and half of the leg circumference and half of the foot circumference were measured. Thermo physiological sock properties were determined by measuring thermal resistance on a thermal foot manikin. The sock structure under the same knitting conditions depends on the number of yarns, yarn type, the type of raw material (viscose, cotton, PA) and yarn count. Finer yarns provide higher stretchability in the part of the sock leg in the wale direction. The viscose socks with an added coarser cotton yarn and a coarser PA 6.6 yarn had the highest thermal resistance, while the viscose yarns with only an added PA 6.6 yarn had the lowest thermal resistance.

scholarly journals An Investigation On Air and Thermal Transmission Through Knitted Fabric Structures Using the Taguchi Method

2017 ◽  
Vol 17 (2) ◽  
pp. 152-163 ◽  
Author(s):  
Anindya Ghosh ◽  
Prithwiraj Mal ◽  
Abhijit Majumdar ◽  
Debamalya Banerjee
Keyword(s):  
Air Permeability ◽  
Raw Material ◽  
Knitted Fabric ◽  
Loop Length ◽  
Knitted Fabrics ◽  
Yarn Count ◽  
Fabric Structures ◽  
Noise Factors ◽  
Single Jersey ◽  
Thermal Absorptivity

Abstract Knitted fabrics have excellent comfort properties because of their typical porous structure. Different comfort properties of knitted fabrics such as air permeability, thermal absorptivity, and thermal conductivity depend on the properties of raw material and knitting parameters. In this paper, an investigation was done to observe the effect of yarn count, loop length, knitting speed, and yarn input tension in the presence of two uncontrollable noise factors on selected comfort properties of single jersey and 1×1 rib knitted fabrics using the Taguchi experimental design. The results show that yarn count and loop length have significant influence on the thermo-physiological comfort properties of knitted fabrics.

scholarly journals Predicting the fabric width of single jersey cotton knitted fabric using appropriate software

2019 ◽  
Vol 70 (06) ◽  
pp. 538-546
Author(s):  
I. BHUVANESHWARRI ◽  
A. TAMILARASI
Keyword(s):  
Raw Materials ◽  
Dominant Role ◽  
Raw Material ◽  
Knitted Fabric ◽  
Data Mining Technique ◽  
Yarn Count ◽  
Using Data ◽  
Cotton Knitted Fabric ◽  
Fabric Comfort ◽  
Single Jersey

Prediction of any property of the material has attracted the attention of many scientists all over the world in order to produce better products. Information Technology (IT) field has many applications and plays dominant role in the production of various products in the industry. Knitted fabric should satisfy a number of requirements of consumer. Fabric width is a very important property which affects knitted fabric comfort properties. The deviation from the fabric width will either lead to more consumption of raw material or affect profit of the company. Hence, controlling the width of the fabric has an adverse effect on company’s profit and usage of raw materials. An investigation of the prediction of the width of the single jersey cotton knitted fabric in a fully relaxed state using Data mining technique in Rough set Computational based Priority Prediction Model (RCPPM) is reported. The inputs were yarn count, machine diameter, required GSM, machine gauge, actual yarn count, lea weight, lea strength, twist multiplier, loop length, course per cm, wales per cm, length shrinkage, width shrinkage, and fabric width. The real-time textile dataset consisted of 7,505 single jersey cotton knitted fabric samples. The results showed that the fabric width obtained by using aforesaid model was found to yield very accurate values and compared favourably with the measured ones. This study will lead to the production of the knitted fabric with better comfort and dimensional stability.

scholarly journals Thermophysiological wear comfort of viscose and tencel socks

2020 ◽  
Vol 68 (4) ◽  
pp. 22-29
Author(s):  
Beti Rogina-Car ◽  
Zenun Skenderi ◽  
Zlatko Vrljičak
Keyword(s):  
Thermal Resistance ◽  
Cotton Yarn ◽  
Air Jet ◽  
Wear Comfort ◽  
Spun Yarn ◽  
Spun Yarns ◽  
Ring Spun Yarn ◽  
Single Jersey

Men’s socks were designed and manufactured in multiple plated single jersey structure using 20 tex viscose and Tencel yarn, 156 and 220 dtex multifilament PA 6.6 yarn and 25 tex cotton yarn. Sock mass and sock thickness were determined, the height of the sock leg, the length of the sock foot and half of the leg circumference and half of the foot circumference were measured. Thermophysiological sock wear comfort was determined by measuring thermal resistance on the thermal foot manikin. The results revealed that the sock samples containing the ring spun yarn in the structure had higher thermal resistance than the socks containing rotor and air-jet spun yarns. The obtained difference of thermal resistance of the sock samples per type of the basic yarn was significant. The viscose socks made of ring spun yarns with an added coarser cotton yarn and PA 6.6 yarn had the highest thermal resistance, while the lowest thermal resistance was recorded for the Tencel rotor spun yarns

Analyzing the Effect of Fiber, Yarn and Fabric Variables on Bagging Behavior of Single Jersey Weft Knitted Fabrics

2013 ◽  
Vol 8 (3) ◽  
pp. 155892501300800 ◽  
Author(s):  
Mitra Karimian ◽  
Hossein Hasani ◽  
Saeed Ajeli
Keyword(s):  
Optimum Process ◽  
Process Conditions ◽  
Knitted Fabrics ◽  
Yarn Twist ◽  
Fabric Density ◽  
Fabric Structure ◽  
Controllable Factors ◽  
Yarn Count ◽  
The Individual ◽  
Single Jersey

This research investigates the effect of fiber, yarn and fabric variables on the bagging behavior of single jersey weft knitted fabrics interpreted in terms of bagging fatigue percentage. In order to estimate the optimum process conditions and to examine the individual effects of each controllable factor on a particular response, Taguchi's experimental design was used. The controllable factors considered in this research are blending ratio, yarn twist and count, fabric structure and fabric density. The findings show that fabric structure has the largest effect on the fabric bagging. Factor yarn twist is second and is followed by fabric density, blend ratio and yarn count. The optimum conditions to achieve the least bagging fatigue ratio were determined.

Analysis of Cotton Yarn Count by Fuzzy Logic Model

2021 ◽  
pp. 349-361
Author(s):  
V. Visalakshi ◽  
T. Yogalakshmi ◽  
Oscar Castillo
Keyword(s):  
Fuzzy Logic ◽  
Logic Model ◽  
Cotton Yarn ◽  
Fuzzy Logic Model ◽  
Yarn Count

scholarly journals The Influences of Loop Length and Raw Material on Bursting Strength Air Permeability and Physical Characteristics of Single Jersey Knitted Fabrics

2017 ◽  
Vol 12 (1) ◽  
pp. 155892501701200
Author(s):  
Züleyha Değirmenci ◽  
Ebru Çoruh
Keyword(s):  
Shape Factor ◽  
Strength Properties ◽  
Air Permeability ◽  
Raw Material ◽  
Unit Weight ◽  
Loop Length ◽  
Knitted Fabrics ◽  
Bursting Strength ◽  
Loop Shape ◽  
Single Jersey

This paper reports the effect of loop length and raw material on the air permeability and the bursting strength of plain knitted fabrics. In this study, a series of plain knitted fabrics were produced on a circular knitting machine with cotton, polyester, acrylic and viscose by Ne 30/1 yarns. Each fabric type was produced with four different stitch lengths. All the fabrics were knitted at the same machine setting in order to determine the effect of their structure on the fabric properties. Their geometrical and physical properties were experimentally investigated. The influences of the loop length and the raw material on the number of the courses per cm, number of the wales per cm, loop shape factor, thickness, fabric unit weight, tightness factor, air permeability and bursting strength are analyzed. Statistical analysis indicates that raw material and loop length significantly parameters affect the air permeability and the bursting strength properties of the fabrics.

scholarly journals Open-End Yarn Properties Prediction Using HVI Fibre Properties and Process Parameters

2017 ◽  
Vol 17 (1) ◽  
pp. 6-11 ◽  
Author(s):  
Hanen Ghanmi ◽  
Adel Ghith ◽  
Tarek Benameur
Keyword(s):  
Response Surface ◽  
Process Parameters ◽  
Processing Parameters ◽  
Raw Material ◽  
Spun Yarn ◽  
Yarn Properties ◽  
Spun Yarns ◽  
Yarn Count ◽  
Input Variables ◽  
Rotor Spun Yarn

AbstractThis article provides three models to predict rotor spun yarn characteristics which are breaking strength, breaking elongation and unevenness. These models used noncorrelated raw material characteristics and some processing parameters. For this purpose, five different cotton blends were processed into rotor spun yarns having different metric numbers (Nm10, Nm15, Nm18, Nm22, Nm30 and Nm37). Each count was spun at different twist levels. Response surface method was used to estimate yarn quality characteristics and to study variable effects on these characteristics. In this study, predicting models are given by the analysis of response surface after many iterations in which nonsignificant terms are excluded for more accuracy and precision. It was shown that yarn count, twist and sliver properties had considerable effects on the open-end rotor spun yarn properties. This study can help industrial application since it allows a quality management-prediction based on input variables such as fibre characteristics and process parameters.

Development of Epoxy Grout Containing Fine Waste from Production of Mineral Wool Board Insulation

2018 ◽  
Vol 878 ◽  
pp. 275-280 ◽  
Author(s):  
Jakub Hodul ◽  
Tomáš Žlebek ◽  
Rostislav Drochytka
Keyword(s):  
Thermal Resistance ◽  
Epoxy Resin ◽  
Filler Content ◽  
Physical And Mechanical Properties ◽  
Optical Microscope ◽  
Mechanical Analysis ◽  
Mineral Wool ◽  
Raw Material ◽  
Strength Increase ◽  
Economic Point

Within this work, it was experimentally verified that the waste from mineral wool board insulation production (WIRG) with high portion of glass recyclate (> 80%) and no organic material seems like ideal filler for polymer grouting materials. The main objective was to develop a progressive grout on epoxy basis with as high content of this secondary raw material as possible, while achieving physical and mechanical properties as e.g. very fast strength increase and high thermal resistance. With regard to the consistency of epoxy grout in the fresh state, three different filling were tested, namely 60%, 65% and 70%. The grout with lower filling is too fluid, and it is also disadvantageous from an economic point of view because a large amount of epoxy resin is used. On the other hand, at higher filing, it is not possible to mix the filler into epoxy resin properly. Setting of an optimal filler content in the mixture was performed mostly on the basis of the results of compressive and three-point flexural strength test. It was found out that the optimal amount of the filler is 65%. In case of the best formulation with optimal filler content (65% WIRG), the thermal resistance was monitored by determination of the glass transition temperature (Tg) by the dynamic mechanical analysis (DMA) method. Furthermore, the optical microscope with high resolution was used to monitor filler distribution and homogeneity of the hardened developed epoxy grout.

Fabric-Evoked Prickle in Worsted Spun Single Jersey Fabrics Part II: The Role of Fiber Length, Yarn Count, and Fabric Cover Factor

1997 ◽  
Vol 67 (5) ◽  
pp. 354-358 ◽  
Author(s):  
G. R. S. Naylor ◽  
D. G. Phillips
Keyword(s):  
Fiber Length ◽  
Unit Area ◽  
Fiber Diameter ◽  
Relative Importance ◽  
Cover Factor ◽  
Spun Yarn ◽  
Yarn Count ◽  
The Mean ◽  
Single Jersey

Fabric-evoked prickle is studied in a range of jersey knitted wool fabrics made from worsted spun yarn. The existing predictive model of relative prickliness based on earlier studies of wools with diameter characteristics is extended and can quantitatively account for changes in mean fiber length, yarn count, and fabric cover factor. For all these variables, relative prickle sensation can be predicted from the density of coarse fiber ends per unit area of fabric. It is thus possible to compare the relative importance of these variables. Within the commercial range, the mean fiber diameter of a wool remains the most important factor affecting fabric-evoked prickle.

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