Dispersive Mixing Performance Evaluation of Special Rotor Segments in an Intermeshing Co-Rotating Twin-Screw Extruder by Using Weighted Probability Distributions

2015 ◽  
Vol 30 (4) ◽  
pp. 451-459 ◽  
Author(s):  
S. Yamada ◽  
K. Fukutani ◽  
K. Yamaguchi ◽  
H. Funahashi ◽  
K. Ebata ◽  
...  
Seikei-Kakou ◽  
2012 ◽  
Vol 24 (5) ◽  
pp. 279-285
Author(s):  
Sayaka Yamada ◽  
Kazuhisa Fukutani ◽  
Yasuaki Yamane ◽  
Kazuo Yamaguchi

2012 ◽  
Vol 468-471 ◽  
pp. 2211-2214 ◽  
Author(s):  
G. Wang ◽  
X.Z. Zhu ◽  
Chun Yi Sun

Parallel arranged tri-screw extruder (PATSE) is a new machine of polymer processing and first manufactured in recent years in China. Compared with the traditional twin-screw extruder, PATSE adds a screw, and added an intermeshing region. It is well known that material going though intermeshing region will acquire higher shear rate and stretching rate, which is beneficial to mixing processing. In order to know the mixing performance in cross-section for PATSE, polymer melt flow field simulation and mixing simulation were conducted on PATSE with 2D model and a Carreau flow model to evaluate velocity profiles, particle trajectories, max shear rate, max stretching rate, dispersive mixing, distributive mixing, segregation scale, length of stretch, mixing efficiency with the commercial CFD package Polyflow and compared with those of twin screw extruder (TSE). The results show that PATSE has better mixing performance than TSE.


2015 ◽  
Author(s):  
Kunihiro Hirata ◽  
Hiroshi Ishida ◽  
Motohiro Hiragori ◽  
Yasuya Nakayama ◽  
Toshihisa Kajiwara

2015 ◽  
Author(s):  
Koki Matsumoto ◽  
Natsuki Kayamori ◽  
Tatsuya Tanaka ◽  
Yoshihiko Arao

2012 ◽  
Vol 560-561 ◽  
pp. 1091-1096 ◽  
Author(s):  
Bai Ping Xu ◽  
Hui Wen Yu

This work aims at simulation of the mixing performance in the novel co-rotating non-twin screw group developed by the authors. The simulation concerns the incompressible fluid obeying Carreau flow model. Using the mesh superposition technique, the mixing performance in such novel mixing sections, as well as in the conventional twin screw groups with one and two tips, are simulated. Adopting the particle tracking technique, distributive mixing is visualized by the evolution of the mixing of a cluster of particles in addition to using the segregation scale. Dispersive mixing is evaluated using mixing index in combination with the probability distributions of cumulative mixing index. The computational results reveal that the novel screw group is superior in mixing ability.


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