Flow Regime Identification in Gas/Liquid/Pulp Fiber Slurry Flows Based on Pressure Fluctuations Using Artificial Neural Networks-Reference-Cited by-同舟云学术

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

Published:2003-11-26 Issue:26 Volume:42 Page:7017-7024
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Xie T.¹,Ghiaasiaan S. M.¹,Karrila S.¹

Affiliation:

1. G. W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332-0405, and Institute of Paper Science and Technology, Atlanta, Georgia 30318-5794

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie0304199

Reference34 articles.

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Two-phase flow pattern online monitoring system based on convolutional neural network and transfer learning;Nuclear Engineering and Technology;2022-12

2. Statistical characterization of the flow structure of air-water-solid particles three-phase flow in the airlift pump-bubble generator system;Flow Measurement and Instrumentation;2021-12

3. Genetic algorithm‐assisted artificial neural network for retrieval of a parameter in a third grade fluid flow through two parallel and heated plates;Heat Transfer;2020-10-11

4. Simulation on the effect of particle on flow hydrodynamics in a slurry bed;Powder Technology;2020-02

5. Artificial neural network model for the flow regime recognition in the drying of guava pieces in the spouted bed;Chemical Engineering Communications;2019-04-29