Structure and properties of partially cyclized polyacrylonitrile-based carbon fiber-precursor fiber prepared by melt-spun with ionic liquid as the medium of processing

2015 ◽  
Vol 55 (12) ◽  
pp. 2722-2728 ◽  
Author(s):  
Shuping Liu ◽  
Keqing Han ◽  
Lei Chen ◽  
Ying Zheng ◽  
Muhuo Yu
RSC Advances ◽  
2015 ◽  
Vol 5 (47) ◽  
pp. 37669-37674 ◽  
Author(s):  
Shuping Liu ◽  
Keqing Han ◽  
Lei Chen ◽  
Ying Zheng ◽  
Muhuo Yu

A new method of melt-spun process was developed to prepare PAN precursor fibers using ionic liquid as the medium of processing.


1993 ◽  
Vol 48 (8) ◽  
pp. 1485-1491 ◽  
Author(s):  
K. Sudo ◽  
K. Shimizu ◽  
N. Nakashima ◽  
A. Yokoyama

Soft Matter ◽  
2017 ◽  
Vol 13 (39) ◽  
pp. 7154-7160 ◽  
Author(s):  
T. Kang ◽  
S. Qian ◽  
G. S. Smith ◽  
C. Do ◽  
W. T. Heller

The structure of the microemulsion formed with an Ionic Liquid (IL) in specific systematic composition series has been investigated by small-angle neutron scattering to understand how the IL can be used to tune the structure and properties of microemulsions.


2014 ◽  
Vol 513-517 ◽  
pp. 100-103
Author(s):  
Yi Wang ◽  
Yong Sheng Ding ◽  
Kuang Rong Hao

Polyacrylonitrile precursor fiber as the as-spun fiber of carbon fiber plays a vital role in carbon fiber performances. In order to optimize the production process and the fiber performances of polyacrylonitrile precursor fiber, a production parameters optimization approach is proposed to find the relationship between the initial input and the final output of this fiber production and help to determine the production parameters according to the fiber performances required. Because fiber production is a complex industry process with a lot of parameters working together and them all have effect on the final performances, so this optimization is a multi-objective optimization which is based on particle swarm optimization formulas and production data. This approach can maintain the diversity of solutions, improve the accuracy of production parameters determining and provide a optimization of polyacrylonitrile precursor fiber.


2003 ◽  
Vol 396 (1-2) ◽  
pp. 87-96 ◽  
Author(s):  
Zongquan Wu ◽  
Anqiu Zhang ◽  
Simona Percec ◽  
Shi Jin ◽  
Alexander J. Jing ◽  
...  

2008 ◽  
Vol 108 (6) ◽  
pp. 3990-3996 ◽  
Author(s):  
Yongping Hou ◽  
Tongqing Sun ◽  
Haojing Wang ◽  
Dong Wu

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