Intelligent prediction of gas-liquid two-phase flow fields in jet impact negative pressure reactors: An integrated DA-WOA-CNN framework based on CFD | Synapse
March 3, 2026
Intelligent prediction of gas-liquid two-phase flow fields in jet impact negative pressure reactors: An integrated DA-WOA-CNN framework based on CFD
Puntos clave
Gas-liquid flow dynamics are effectively predicted using a novel DA-WOA-CNN framework.
The model demonstrates an accuracy improvement by up to 25% compared to traditional methods in predicting flow fields.
Assessment using computational fluid dynamics (CFD) to validate the new integrated prediction framework.
This approach may enhance reactor efficiency, although further experimental validation is necessary.