Flow Regime Identification in Gas/Liquid/Pulp Fiber Slurry Flows Based on Pressure Fluctuations Using Artificial Neural Networks

Industrial and Engineering Chemistry Research

Volumn 42, Issue 26, 2003, Pages 7017-7024

  Xie, T ^a   Ghiaasiaan, S M ^a   Karrila, S ^b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DENSITOMETERS; FLOW PATTERNS; HYDRODYNAMICS; NEURAL NETWORKS; PRESSURE TRANSDUCERS; SLURRIES; X RAY ANALYSIS;

NORMALIZED PRESSURE KURTOSIS;

CHEMICAL ENGINEERING;

WATER;

FLOW PATTERN; FLOW REGIME RELATIONS; GAS FLOW; LIQUID FLOW; MULTIPHASE FLOW; NEURAL NETWORK; PRESSURE FLUCTUATION; SLURRY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DENSITOMETRY; FLOW KINETICS; FLOW MEASUREMENT; GAS; HYDRODYNAMICS; LIQUID; PRESSURE; PULP PROCESSING; RADIOGRAPHY; SENSOR;

EID: 0346734327     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie0304199     Document Type: Article

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