Estimation of pressure drop in a demister for multi-stage flash desalination process based on stacked long short-term memory (LSTM) neural networks-Reference-Cited by-同舟云学术

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Estimation of pressure drop in a demister for multi-stage flash desalination process based on stacked long short-term memory (LSTM) neural networks

Published:2021-10-01 Issue:10 Volume:5 Page:105019
ISSN:2399-6528
Container-title:Journal of Physics Communications
language:
Short-container-title:J. Phys. Commun.

Author:

Dawkrajai Jarukamol^ORCID,Weerachapichasgul Weerawun,Daosud Wachira,Kittisupakorn Paisan

Funder

Intelligent Control Automation of Process System Laboratory co-funded by the Eramus+ Programme of the European Union

Department of Chemical Engineering, Chulalongkorn University

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Link

https://iopscience.iop.org/article/10.1088/2399-6528/ac304c/pdf

Reference26 articles.

1. Performance of wire mesh mist eliminator;El-Dessouky;Chem. Eng. Proces. Intensif.,2000

2. Ludwig’s applied process design for chemical and petrochemical plants;Kayode Coker,2007

3. Venturi and other atomizing scrubbers efficiency and pressure drop;Calvert;AICHE J.,1970

4. Correlation of maximum air velocity with liquid entrainment loading for wire mesh mist eliminators;Poppele,1958

5. Application of various correlations for design of demisters to study the effect of geometrical parameters on its performance;Kazi;Mater. Today Proc.,2021

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