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 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 Changes of the Knitted Fabric Properties due to Exposure to Outdoor Natural Weathering

2014 ◽  
Vol 9 (4) ◽  
pp. 155892501400900
Author(s):  
Ivana Salopek Cubric ◽  
Vesna Marija Potocic Matkovic ◽  
Zenun Skenderi
Keyword(s):  
Heat Resistance ◽  
Unit Area ◽  
Raw Materials ◽  
Weather Conditions ◽  
Natural Weathering ◽  
Knitted Fabric ◽  
Summer Period ◽  
Knitted Fabrics ◽  
Vertical Density ◽  
Single Jersey

In order to investigate the changes of knitted fabric properties due to exposure to outdoor natural weathering, a series of single jersey fabrics made from different raw materials was produced. The fabrics were exposed to summer weather conditions in duration of three months. The exposure of knitted fabrics to outdoor natural weathering in the summer period affected all investigated properties, namely, structural properties, tensile properties and heat resistance. The most significant changes were: the vertical density increased up to 31%, the mass per unit area increased up to 26%, the breaking force decreased in both directions for up to 54% and the heat resistance decreased up to 18%.

scholarly journals Pengujian Association Clasification Dalam Meningkatkan Kualitas Minyak Sawit Sebagai Bahan Dasar Biodisel

2019 ◽  
Vol 3 (4) ◽  
pp. 340
Author(s):  
Adi Fitra Andikos ◽  
Helly Andri
Keyword(s):  
Palm Oil ◽  
National Economy ◽  
Oil And Gas ◽  
Raw Materials ◽  
Raw Material ◽  
Biodiesel Production ◽  
Apriori Algorithm ◽  
Crude Palm Oil ◽  
Acid Type ◽  
Using Data

 The role of oil and gas business in Indonesia has always influenced the source of revenue from the country and energy sources for the national economy. In the 1970 's to the 1990 's and mid-1990 's, it was characterized by the high dependence of the national economy on oil and gas revenues, triggering massive oil and gas-producing. Currently, Indonesia is the largest palm oil producer and exporter in the world. Palm oil is one of the roads to overcome the problem of petroleum in Indonesia. To commercialize plants is still constrained because the availability of low raw material costs very hard to get. The amalgamation of crude palm oil and crude palm sludge is one of the problems of raw materials for renewable energy production. This low-level oil has great potential as a raw material for biodiesel production. To get the maximum quality mixing required a computer method. The method used in this study is analysis study with the Association classification approach by testing Improved Apriori algorithm in mining palm oil dataset. In this research using Data Mining application so that can be used to display the information of quality improvement of palm oil acid with high quality as a biodiesel base where the information is seen from the value of support and Confidence between items. M-Apriori algorithm can not read the continous data, so it must be done transformation first, one of them using the help of discreetization technique. Crude palm oil acid type esteridication which is fatty acid levels > 60 and Abu bunches 51-100 g/mol then the quality of biodiesel with the result of rising methyl Ester increases by as much as 100% (confidence: 1). From data that is calculated manually, no relationship is found Association.

scholarly journals A study on porosity related aspects of cotton knitted fabric with single jersey structure for improved comfort application for garment

2020 ◽  
Vol 6 (5) ◽  
Keyword(s):  
Pore Size ◽  
Pore Volume ◽  
Knitted Fabric ◽  
Knitted Fabrics ◽  
Stitch Density ◽  
Stitch Length ◽  
To Come ◽  
Cotton Knitted Fabric ◽  
Two Parameters ◽  
Single Jersey

Knitted fabrics are the preferred structures in athletic wear in which demand for comfort is a key requirement. Heat and liquid sweat generation during athletic & exercise activities must be transported out and dissipated to the atmosphere. A key property influencing such behaviors is porosity. Two parameters that characterize it are pore size and pore volume. One of the objectives in this research was to come up with models that can predict inter yarn pore size and pore volume for simple weft knitted structures, from fabric particulars, such as courses and Wales, count, yarn size, stitch density, thickness and other geometrical details of the fabric, which characterize the structure. Such a model was developed that was based on the geometry of the unit cell of a single loop. The experimental work in this project involved using a set of 16 knitted fabrics that differ in course count and examining their pore structure and porosity related characteristics. The values of pore size and pore volume were calculated, those of pore size were measured with image analysis, and other parameters. The effects of course count and washing on stitch density, stitch length, fabric thickness and pore size are examined in details.

scholarly journals THE EFFECT OF FIBER CROSS-SECTIONAL SHAPE AND TEXTURING TEMPERATURE ON KNITTED FABRIC AIR PERMEABILITY

2019 ◽  
Vol 2019 ◽  
pp. 100-104
Author(s):  
Halil İbrahim ÇELİK ◽  
Hatice Kübra KAYNAK ◽  
Esin SARIOĞLU ◽  
Gizem KARAKAN GÜNAYDIN
Keyword(s):  
Raw Materials ◽  
Air Permeability ◽  
Process Temperature ◽  
Knitted Fabric ◽  
Cross Sectional ◽  
Knitted Fabrics ◽  
Polyester Filament ◽  
Process Factors ◽  
Sectional Shape ◽  
Single Jersey

Texturized yarns are often preferred especially in home textiles and sportswear. To improve polyester filament properties, mechanical, thermal, chemical and combinations of texturing processes are applied. With these processes, filament yarns take on a curved and voluminous structure and gain a permanent form. Properties of the texturized yarn can be varied as raw materials properties, machine type and process factors. This study covers the investigation of the effect of cross-sectional shape of fiber (round and trilobal) and texturing process temperature (150, 175 and 200 0C) on air permeability of false twist textured polyester single jersey knitted fabrics. Results showed that the highest air permeability value was obtained from knitted fabric with round fiber cross-sectional shape polyester filament textured at 150 0C. According to the statistical analysis, both the fiber cross-sectional shape and process temperature were found to have a significant effect on air permeability property.

scholarly journals The effect of raw material combination, yarn count, fabric structure and looplength on the thermal properties of Eri silk bi-layer knitted fabrics

2021 ◽  
Vol 72 (03) ◽  
pp. 331-339
Author(s):  
SATHISH T. KUMAR ◽  
RAMESH M. KUMAR ◽  
SENTHIL B. KUMAR
Keyword(s):  
Raw Material ◽  
Knitted Fabric ◽  
Knitted Fabrics ◽  
The North ◽  
Fabric Structure ◽  
North Eastern ◽  
Yarn Count ◽  
Comfort Property ◽  
Eri Silk ◽  
Silk Yarn

Eri silk is one of the wild silk varieties which are mainly available in the north-eastern areas of India. It exhibits goodmechanical and thermal resistance properties. In this concern, the present study focused to develop a bi-layer knittedstructure made from Eri silk yarn as one side(next to skin) and on another side bamboo yarn knitted fabric. Similarly,Tencel knitted fabric was used instead of bamboo. Twenty-four bi-layer knitted fabrics were developed and thenanalysed for its thermal comfort property. The air permeability, and wick-ability were found to be higher and the thermalresistance was found to be higher for bi-layer plated interlocked knitted fabric made out of Eri silk compared to bambooand Tencel.

scholarly journals Thermal comfort properties of cotton/spandex single jersey knitted fabric

2021 ◽  
Vol 72 (03) ◽  
pp. 244-249
Author(s):  
AMANY HALIL ◽  
PAVLA TĚŠINOVÁ ◽  
ABDELHAMID R.R. ABOALASAAD
Keyword(s):  
Thermal Comfort ◽  
Water Vapour ◽  
Woven Fabrics ◽  
Water Vapour Permeability ◽  
Knitted Fabric ◽  
Knitted Fabrics ◽  
Vapour Permeability ◽  
Thermal Comfort Properties ◽  
Cotton Knitted Fabric ◽  
Single Jersey

Knitted fabrics are characterized by comfort compared to woven fabrics due to their high extensibility and airpermeability, but they have lower dimensional stability after repeated washing especially single jersey knitted fabric(SJKF). Therefore, the spandex (Lycra) core-spun yarns are used to maintain the dimensions of knitted fabrics duringuse and after repeated stresses. In this study, nine elastic SJKF samples were produced at three levels of loop lengthand spandex percent using yarn linear density 30/1 Ne. For comparison, three 100% cotton knitted samples wereproduced with the same levels of loop length and yarn count. The dimensional and thermal comfort properties of thelong-stretch samples were compared with the short-stretch cotton knitted fabric. The thermal comfort properties (thermalconductivity, resistance, absorptivity, and water vapour permeability), air permeability, and dimensional properties weremeasured and compared to 100% cotton samples. The results showed that the stitch density, fabric density, fabricthickness, and thermal resistance increased, whereas the air, water vapour permeability, and spirality angle decreasedin cotton/spandex samples.

scholarly journals Efficiency analysis of tempeh chips production using a data envelopment analysis

2021 ◽  
Vol 924 (1) ◽  
pp. 012055
Author(s):  
S A Mustaniroh ◽  
N Akhmad ◽  
M Kurniawan
Keyword(s):  
Data Envelopment Analysis ◽  
Production Process ◽  
Raw Materials ◽  
Employee Performance ◽  
Raw Material ◽  
Data Envelopment ◽  
Critical Problems ◽  
Using Data ◽  
Small Medium Enterprises ◽  
Medium Enterprises

Abstract The Small Medium Enterprises (SMEs) clusters of tempeh chips face critical problems in the production process, i.e., the low quality of raw materials, defective products, and fluctuating sales. These issues affect their productivity, leading to impending improvements. One effort to increase productivity is to increase efficiency during the production process. The research objectives are to analyze and improve the efficiency of soybean chips production using Data Envelopment Analysis (DEA). The objects of research are 5 SMEs that are producing tempeh chips in the same classification. The results showed that the efficiency of production variables are losses, labor, and sales results. The efficiency value is 89.4%-100%, which shows that the production process runs inefficiently due to the high number of losses during the production process, inaccurate production targets, low product selling prices, and limited marketing. The suggested improvement for industries is to improve raw material planning and employee performance to reduce the number of losses that occurred, evaluate and upgrade the supply chain management, optimize social media marketing, and increase the competitiveness of tempeh chips products.

scholarly journals Circular Economy Matchmaking Framework for Future Marketplace Deployment

2021 ◽  
Vol 13 (10) ◽  
pp. 5668
Author(s):  
Lucyna Łȩkawska-Andrinopoulou ◽  
Georgios Tsimiklis ◽  
Sarah Leick ◽  
Manuel Moreno Nicolás ◽  
Angelos Amditis
Keyword(s):  
Circular Economy ◽  
Raw Materials ◽  
Perfect Match ◽  
Ghg Emissions ◽  
Raw Material ◽  
Relevance Score ◽  
Online Marketplace ◽  
Online Marketplaces ◽  
Multi Level ◽  
Using Data

Online marketplaces enable cooperation between potential stakeholders by supporting offer and demand identification at the secondary raw material markets. The use of marketplaces facilitates communication between supply chain actors operating within the same or different industry sectors and enables detection of ways to close the loop of their products. This research investigated which criteria to use for the circular cooperation matching of companies in the context of a marketplace. These criteria were used for the development of a circular economy (CE) matchmaking framework based on a multi-level approach and relevance scoring between the users. The multi-level approach is based on the following criteria: (i) the compliance with circular economy principles, (ii) the material flows analysis, (iii) the greenhouse gas (GHG) emissions from transport. Based on those aspects a Total Relevance Score (TRS) between the stakeholders is calculated. The Total Relevance Score indicates the possibility for successful circular cooperation between two partners who are willing to close their loops with the best possible match. The logic behind the proposed circular economy matchmaking framework is illustrated by four cases using data collected from companies. Recommendations for further deployment are proposed. The developed framework, by incorporating circular economy principles for the first time within the matching algorithm, provides the opportunity for interested stakeholders for more tailored matching and increases their possibilities of finding a perfect match on the secondary raw materials market in terms of circularity. A similar approach has not yet been reported in the literature. The circular economy matchmaking framework constitutes a theoretical basis of an online marketplace to be developed.

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.

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