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Predicting emulsion breakdown in the emulsion liquid membrane process: Optimization through response surface methodology and a particle swarm artificial neural network

Abdelhalim Fetimi, Attef Dâas, Slimane Merouani, Abdullah M. Alswieleh, Mourad Hamachi, Oualid Hamdaoui, Ounissa Kebiche-Senhadji, Krishna Kumar Yadav, Byong‐Hun Jeon, Yacine Benguerba

2022Chemical Engineering and Processing - Process Intensification20 citationsDOI

Topics & Concepts

Response surface methodologyParticle swarm optimizationEmulsionArtificial neural networkBiological systemDesign of experimentsVolume (thermodynamics)Materials scienceParticle (ecology)ChromatographyMathematicsComputer scienceEngineeringChemistryAlgorithmChemical engineeringArtificial intelligenceStatisticsPhysicsThermodynamicsGeologyBiologyOceanographyMembrane Separation TechnologiesProcess Optimization and IntegrationInnovative Microfluidic and Catalytic Techniques Innovation
Predicting emulsion breakdown in the emulsion liquid membrane process: Optimization through response surface methodology and a particle swarm artificial neural network | Litcius