Development of machine learning based droplet diameter prediction model for electrohydrodynamic atomization systems-Reference-Cited by-同舟云学术

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Development of machine learning based droplet diameter prediction model for electrohydrodynamic atomization systems

Published:2023-03 Issue: Volume:268 Page:118398
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Dong Tao,Wang Jin-Xin,Wang Yong,Tang Guan-Hua,Cheng Yongpan,Yan Wei-Cheng

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference40 articles.

1. Artificial neural networks: fundamentals, computing, design, and application;Basheer;J. Microbiol. Methods,2000

2. The current emitted by highly conducting Taylor cones;De La Mora;J. Fluid Mech.,1994

3. Use of artificial neural networks to determine parameters controlling the nanofibers diameter in electrospinning of nylon-6,6;Faridi-Majidi;J. Appl. Polym. Sci.,2012

4. The electro-spraying characteristics of ethanol for application in a small-scale combustor under combined electric field;Gan;Appl. Therm. Eng.,2015

5. The atomization current and droplet size of ethanol in two different small-scale electro-spraying systems;Gan;J. Electrostat.,2017

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