The Experiential Analysis of Woven Fabric for Reproduction

Islam, Shariful; Chowdhury, Sutapa; Akter, Shilpi

doi:10.4236/jtst.2018.41002

Cited by 10 publications

(7 citation statements)

References 6 publications

(6 reference statements)

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“…Besides chemical auxiliaries and processing, uneven dyeing can also be caused by improper dyeing cycles. The temperature, nozzle pressure, and ring dye speed can cause creases, and the entanglement during the operating phase of the dye vat can lead to uneven dyeing and creases [6,7].…”

Section: Literature Reviewmentioning

confidence: 99%

Machine-Learning-Based System for the Detection of Entanglement in Dyeing and Finishing Processes

Wang

2022

Sustainability

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Many dyeing and finishing factories generally use old-fashioned dyeing machines. A key issue when using these machines is that the dyeing tank cannot detect entanglement problems, which may result in a lower dyeing quality. In this paper, imbalanced data with ensemble machine learning, such as Extreme Gradient Boosting (XGBoost) and random forest (RF), are integrated to predict the possible states of a dyeing machine, including normal operation, entanglement warning, and entanglement occurrence. To verify the results obtained using the proposed method, we worked with industry−academia collaborators. We collected 1,750,977 pieces of data from 1848 batches. The results obtained from the analysis show that after employing the Borderline synthetic minority oversampling technique and the Tomek link to deal with the data imbalance, combined with the model established by XGBoost, the prediction accuracy of the normal operation states, entanglement warning, and entanglement occurrence were 100%, 94%, and 96%, respectively. Finally, the proposed entanglement detection system was connected with the factory’s central control system using a web application programming interface and machine real-time operational parameter data. Thus, a real-time tangle anomaly warning and monitoring system was developed for the actual operating conditions.

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Section: Literature Reviewmentioning

confidence: 99%

Machine-Learning-Based System for the Detection of Entanglement in Dyeing and Finishing Processes

Wang

2022

Sustainability

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“…Defeat of biodiversity, releases of greenhouse gases, and water contamination are all issues usually known as sustainability contests. 43 Though, issues nearby the environment establish a very significant feature of sustainability. Consequently, when thoughtful about how to extent and communicate clothing sustainability, we must be cautious not to focus exclusively on sustainability as it narrates to environmental matters.…”

Section: Textiles and Clothing Manufacturing Countriesmentioning

confidence: 99%

“…Procedures within the supply chain necessitate large water and energy inputs and comprise the use of toxic substances in the production of properties. 49 The removal of these harmful substances and other wildernesses are also environmental anxieties relevant to the diligence. Textile industry is booming and increasing at high speed expertise.…”

Section: Textiles and Clothing Manufacturing Countriesmentioning

confidence: 99%

Clothing manufacturing and exporting countries of the World: a review

Islam¹,

Alam²,

Ahmed³

2020

JTEFT

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The aim of this paper is to discuss about the textiles and clothing manufacturing and exporting countries of the world. This paper has some objectives such as introducing the applications of spandex fabrics, discussing highest clothing importers, and detailing recent textile trade expansion countries etc. The textiles and clothing industries are categorized by changeable mandate, short product life sequences, rapid response time, enormous product diversity, and an unstable, unyielding, and intricate supply chain structure. The textile and clothing industries subsidize meaningfully towards the national budget of many countries. Although the clothing industry is worldwide in nature, the engineering facilities from established countries are flowing to developing countries to lessen the labor fees. Even in these developing countries, the clothing industries are fronting the greatest experiments in spite of the inexpensive labor cost, due to the petite production life-cycle, high instability, low expectedness, high level of instinct purchase and the quick market reaction. To diminish the cost of manufacture, the clothing industries in developing countries are rather concentrating on sourcing of inexpensive raw materials and minimizing transfer cost than labor efficiency due to the obtainability of inexpensive labor.

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“…Shariful et al 18 conducted some experimental analysis of woven fabrics. They reported that fibers, yarns and fabrics have so many properties and these all properties are directly or indirectly modify the shrinkage properties of fabrics.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the change of the shrinkage properties in contradiction to the change of the composition of cotton polyester spandex denim fabrics

Islam¹,

Tasnim²,

Islam³

2019

JTEFT

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The aim of this research is to investigate the shrinkage properties of cotton polyester spandex denim fabrics of different fiber content. Cotton fabrics with spandex have a tendency to shrink when it comes in contact of water. Cotton spandex shrinks more when it comes in contact of hot water. Cotton is swelled up in water; thereby increase the width of fibers, as a result there is the decrease of length. If the cotton composition with spandex increases, the shrinkage property of fabric also increases. The higher the percentage of spandex content in a fabric is, the higher the value of shrinkage is. On the other hand, polyester does not shrink when it comes in contact of water, as manmade polyester fiber does not swell up in water. Three specimen of cotton polyester spandex denim fabrics of different fiber content were used in this research. Finished fabrics were collected from fabric mills for conducting the required shrinkage test with the standard specified by AATCC Test Method 135. This research is practice based and the discoveries are advantageous to the textile professionals. This research proved that the properties of shrinkage depends on the fiber content of cotton polyester spandex denim fabrics and it showed a suitable way for the scholars to further study in this field.

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The Experiential Analysis of Woven Fabric for Reproduction

Cited by 10 publications

References 6 publications

Machine-Learning-Based System for the Detection of Entanglement in Dyeing and Finishing Processes

Machine-Learning-Based System for the Detection of Entanglement in Dyeing and Finishing Processes

Clothing manufacturing and exporting countries of the World: a review

Investigation of the change of the shrinkage properties in contradiction to the change of the composition of cotton polyester spandex denim fabrics

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