Premium
Mixing ability examination of three different rotor cross sections and rotor geometry quantification with pressurization coefficient
Author(s) -
Chen Tao,
Hao Yuting,
Chen Xin,
Zhao Haili,
Sha Jin,
Ma Yulu,
Xie Linsheng
Publication year - 2018
Publication title -
journal of applied polymer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.575
H-Index - 166
eISSN - 1097-4628
pISSN - 0021-8995
DOI - 10.1002/app.46623
Subject(s) - rotor (electric) , mixing (physics) , geometry , mechanics , materials science , cross section (physics) , tracking (education) , physics , mechanical engineering , mathematics , engineering , quantum mechanics , psychology , pedagogy
The geometry of rotor cross section would affect the velocity profile of circumferential flow in continues mixer, which further dominated the mixing ability of rotor. To reveal the relationship between the geometry and mixing ability of rotor cross section, three rotor cross sections with different geometries were chosen, and the POLYFLOW simulations were applied to analyze the velocity profile and the flow stretching. The distribution for three rotors was evaluated both numerically and experimentally with the particle tracking technology. Then, the rotor geometry was quantified with pressurization coefficient S , which is a geometric parameter considering the wedge angle α, width of wing tip e , tip clearance h and the maximum clearance H 0 between rotor and chamber wall. The results showed that the mixing ability and S for three rotor cross‐sections would vary with the rotor geometry changing, furthermore, the rotor cross‐section with larger S would have stronger mixing ability. Decreasing α or e , as well as increasing the H 0 , would induce the increase of S , and further resulting in the improvement of the mixing ability. Rotor geometry quantification with S would intuitionally reveal the relationship between rotor geometry and the mixing ability, and would contribute to the rotor cross‐section design and optimization. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2018 , 135 , 46623.