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Residence time distribution in screw extruders
Author(s) -
Chen Liqin,
Pan Zaoqi,
Hu GuoHua
Publication year - 1993
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690390905
Subject(s) - residence time distribution , plastics extrusion , mathematics , mixing (physics) , residence time (fluid dynamics) , convolution (computer science) , series (stratigraphy) , boundary (topology) , mechanics , leakage (economics) , control theory (sociology) , engineering , mechanical engineering , mathematical analysis , computer science , materials science , geometry , physics , flow (mathematics) , composite material , artificial intelligence , paleontology , geotechnical engineering , control (management) , quantum mechanics , artificial neural network , macroeconomics , economics , biology
A companion article (Chen and Hu, 1993a) discussed a statistical theory that for a system consisting of two closed subsystems, the residence time density (RTD) functions of the two subsystems will be statistically independent, if a two‐dimensional perfect mixing exists at the subsystem boundary. In this case, the overall RTD function is related to that for individual subsystems through the convolution integral. This theory has been validated experimentally using two die‐screw combinations. Based on this theory, a predictive RTD model for an intermeshing counterrotating twin‐screw extruder has been developed. The screw in the longitudincl direction has been treated as C‐chambers in series. The overall RTD of leakage flows has been calculated from the RTDs of these individual chambers and then converted into the RTD of the extruder. The predicted RTD has been tested against experimental results with success.