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 …
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 …
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 …
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 …
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 …
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) …
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 …
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 …
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 …