Current recycling strategies and high-value utilization of waste cotton

L Lu, W Fan, X Meng, L Xue, S Ge, C Wang… - Science of the Total …, 2023 - Elsevier
The rapid development of the textile industry and improvement of people's living standards
have led to the production of cotton textile and simultaneously increased the production of …

Effect of moisture absorption on the mechanical properties of randomly oriented natural fibers/polyester hybrid composite

A Athijayamani, M Thiruchitrambalam… - Materials Science and …, 2009 - Elsevier
In this work, the variation of mechanical properties such as tensile, flexural, and impact
strengths of roselle and sisal fibers hybrid polyester composite at dry and wet conditions …

Mechanical properties of natural fibers reinforced polyester hybrid composite

A Athijayamani, M Thiruchitrambalam… - International Journal of …, 2010 - Springer
In this investigation, the mechanical properties of natural fibers reinforced polyester hybrid
fiber reinforced polyester composite were analysed based on the wt% and length of the …

Relationships of cotton fiber properties to ring-spun yarn quality on selected High Plains cottons

WB Faulkner, EF Hequet, J Wanjura… - Textile Research …, 2012 - journals.sagepub.com
Cotton fiber properties play an important role in determining spinning performance but
explain only a portion of the variability in final yarn quality parameters. This research …

Recycling dyed cotton textile byproduct fibers as polypropylene reinforcement

A Serra, Q Tarrés, M Llop, R Reixach… - Textile Research …, 2019 - journals.sagepub.com
The textile industry generates a large amount of byproducts that must be treated before
being recycled or disposed of. The treatments to extract the dyeing agents are mandatory …

Chemical composition and characterization of cotton fibers

Y Liu - Cotton fiber: physics, chemistry and biology, 2018 - Springer
Cotton fiber development includes at least four overlapping but distinctive phases: initiation,
primary wall formation (elongation), secondary cell wall thickening (cellulose synthesis), and …

Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. I. Prediction of yarn tensile properties

ME Üreyen, P Gürkan - Fibers and Polymers, 2008 - Springer
In this study artificial neural network (ANN) models have been designed to predict the ring
cotton yarn properties from the fiber properties measured on HVI (high volume instrument) …

[图书][B] Textile and clothing design technology

T Cassidy, P Goswami - 2017 - books.google.com
In the textile industry, there is a pressing need for people who can facilitate the translation of
creative solutions from designers into manufacturing language and data. The design …

Evaluation of cotton fibre properties in compact yarn spinning processes and investigation of fibre and yarn properties

GK Günaydin, AS Soydan, S Palamutçu - Fibres & Textiles in Eastern …, 2018 - infona.pl
Fibre properties are influential factors for yarn properties. Cotton, whose physical properties
vary depending on the cultivation region, is still a very common fibre used in the textile …

One-dimensional convolutional neural network with data characterization measurement for cotton yarn quality prediction

M Wang, J Wang, W Gao, M Guo - Cellulose, 2023 - Springer
Yarn quality prediction is vital in cotton spinning mills for stable production, quality
assurance, and cost control. This paper built a machine-learning-based yarn quality …