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Prediction of pulsation frequency of pulsing flow in trickle-bed reactors using artificial neural network

✍ Scribed by Guozhu Liu; Zhentao Mi


Book ID
108085896
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
328 KB
Volume
59
Category
Article
ISSN
0009-2509

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## Abstract Current correlations aimed at estimating the extent of liquid back‐mixing, via an axial dispersion coefficient, in trickle‐bed reactors continue to draw doubts on their ability to conveniently represent this important macroscopic parameter. A comprehensive database containing 973 liquid