Comparison between response surface methodology and artificial neural network: Application in three‐product hydrocyclones-Reference-Cited by-同舟云学术

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Comparison between response surface methodology and artificial neural network: Application in three‐product hydrocyclones

Published:2022-04-07 Issue:1 Volume:101 Page:380-399
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can J Chem Eng

Author:

Santos Lucas F. L.¹^ORCID,Ferreira Bruno X.¹^ORCID,Brandão Amanda L. T.¹^ORCID,Santos Brunno F.¹^ORCID

Affiliation:

1. Department of Chemical and Materials Engineering (DEQM) Pontifical Catholic University of Rio de Janeiro (PUC‐Rio) Rio de Janeiro Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Wiley

Subject

General Chemical Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjce.24409

Reference54 articles.

1. Three-phase hydrocyclone separator – A review

2. Enhancement of hydrocyclone performance by controlling the inside turbulence structure

3. Effect of vortex finder diameter on the performance of a novel hydrocyclone separator

4. Optimizing Geometric Parameters in Hydrocyclones for Enhanced Separations: A Review and Perspective

5. Simulation of multiphase flow in hydrocyclone

Cited by 2 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. Optimization of the annulus space structure for hydrocyclone separation of rubber particles based on NSGA-II and GMDH;Separation and Purification Technology;2025-02

2. Distributed nonlinear model predictive control for cobalt removal process in zinc hydrometallurgy considering error compensation modelling;The Canadian Journal of Chemical Engineering;2023-06-28

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