Challenges of Chemical Fiber Industry and Activities of Japan Chemical Fibers Association

2021 ◽  
Vol 77 (12) ◽  
pp. 627-627
Author(s):  
Ikuo Takeuchi
Keyword(s):  
Chemical Fiber

New Take-up Winders for Chemical Fiber Machinery

2014 ◽  
Vol 45 (5) ◽  
pp. 322-323
Author(s):  
L. S. Mazin ◽  
K. I. Martynchik ◽  
A. V. Markovets
Keyword(s):  
Chemical Fiber

Method and Model for Enchancing Efficiency of Chemical Fiber Use in Textile Industry

2021 ◽  
Author(s):  
L. N. Nikitina ◽  
A. I. Bogdanov ◽  
P. A. Shikov ◽  
T. A. Flyagina ◽  
Yu. A. Shikov
Keyword(s):  
Textile Industry ◽  
Chemical Fiber

scholarly journals Study on process of chemical fiber filament automatic doffing system based on simulation platform and machine learning

2021 ◽  
Vol 16 ◽  
pp. 155892502110548
Author(s):  
Hongxin Zhu ◽  
Kun Zou ◽  
Wenlan Bao
Keyword(s):  
Neural Network ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Production Line ◽  
Simulation Platform ◽  
Chemical Fiber ◽  
Production Lines ◽  
The Neural Network ◽  
Spss Software ◽  
The Relationship

In recent years, a large number of automatic equipment has been introduced into the chemical fiber filament doffing production line, but the related research on the fully automatic production line technology is not yet mature. At present, it is difficult to collect data due to test costs and confidentiality. This paper proposes to develop a simulation platform for a chemical fiber filament doffing production line, which enables us to effectively obtain data and quantitatively study the relationship between the number of manual interventions and other process parameters of the production line. Considering that the parameter research is a multi-factor problem, an orthogonal test was designed by using SPSS software and was carried out by using a simulation platform. The multiple linear regression (MLR) and the neural network optimized by genetic algorithm were adopted to fit the relationship between the number of manual interventions and other parameters of the production line. The SPSS software was applied to obtain the standardized coefficients of the multiple linear regression fitting and the neural network mean impact value (MIV) algorithm was applied to obtain the magnitude and direction of the impact of different parameters on the number of manual interventions. The above results provide important reference for the design of similar new production lines and for the improvement of old production lines.

New chemical fiber surpasses silk

1939 ◽  
Vol 227 (4) ◽  
pp. 472
Author(s):  
R.H.O.
Keyword(s):  
Chemical Fiber

Optical chemical fiber sensor for the detection of perfluorinated compounds in water

2018 ◽  
Author(s):  
Nunzio Cennamo ◽  
Luigi Zeni ◽  
Girolamo D'Agostino ◽  
Gianni Porto ◽  
Adriano Biasiolo
Keyword(s):  
Perfluorinated Compounds ◽  
Fiber Sensor ◽  
Chemical Fiber

Rheological Analysis of Chemical Fiber Spinning

2016 ◽  
Vol 48 (2) ◽  
pp. 95-103
Author(s):  
Yu. A. Vinogradov
Keyword(s):  
Fiber Spinning ◽  
Chemical Fiber ◽  
Rheological Analysis

The FNN control and its application to chemical fiber industry

2002 ◽  
Author(s):  
Yi Jikai ◽  
Huang Xianming ◽  
Chen Shuangye ◽  
Song Su ◽  
Ji Yuejin
Keyword(s):  
Chemical Fiber

Manufacturing Techniques and Mechanical Properties of Recycle High-Strength PET Compound Nonwoven

2012 ◽  
Vol 627 ◽  
pp. 321-324 ◽  
Author(s):  
Ching Wen Lou ◽  
An Pang Chen ◽  
Jan Yi Lin ◽  
Mei Chen Lin ◽  
Jin Mao Chen ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
High Strength ◽  
Polyester Fiber ◽  
Chemical Fiber ◽  
Machine Direction ◽  
Cross Direction ◽  
Nonwoven Fabrics ◽  
The Matrix ◽  
Manufacturing Techniques

The high-strength polyester fiber is a kind of chemical fiber that is rapidly developed and widely applied. With development of technology, the demands for polyester fiber are becoming more and more. Furthermore, the high-strength polyester fiber, used to reinforce the matrix, has higher modulus and strength than commercial polyester fiber. In this research, the 15D polyester fiber, the low melting polyester and the high-strength polyester fiber were used to manufacture the high-strength PET compound nonwoven fabrics by nonwoven processing. Afterwards, the mechanical properties of the PET compound nonwoven was measured both at cross direction and machine direction.

Research and Develop Intelligent Temperature-Controlled Fabric Starting from the Internal Structure of Textile Fibers

2013 ◽  
Vol 401-403 ◽  
pp. 692-695
Author(s):  
Tong Zhang
Keyword(s):  
Internal Structure ◽  
Fibrous Material ◽  
Natural Fiber ◽  
Synthetic Fiber ◽  
Chemical Fiber ◽  
Original Performance ◽  
Textile Fibers ◽  
Depth Analysis ◽  
Temperature Controlled ◽  
Stimulation Of

ntelligent temperature-controlled fiber can perceive changes in the environment and correspond accordingly subject to stimulation of certain conditions. In the functional innovation, the intelligent fibrous material modifies the nature of conventional synthetic fiber and the original performance of natural fiber and chemical fiber. Through in-depth analysis of the existing achievements, strive to explore the application prospect of intelligent temperature-controlled fiber starting from the internal structure of textile fibers.

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