QR kód

Data-driven machine learning for scale-up of bubbling and turbulent fluidized beds: flow hydrodynamics and reactor performance

Fluidized beds provide excellent solids mixing and high heat and mass transfer rates, making them widely used across various industries. However, conventional experimental and computational fluid dynamics (CFD) approaches are often time-consuming and computationally expensive. To address these chall...

Celý popis

Uloženo v:
Hlavní autoři: Xi Chen, Yipeng Xu, Yue Yuan, Qiao Lin, Xiaoyang Wei, Yuanyuan Shao, Jesse Zhu, Dongbing Li
Médium: Artigo
Jazyk:Inglês
Vydáno: Taylor & Francis Group 2026-12-01
Edice:Engineering Applications of Computational Fluid Mechanics
Témata:
Fluidized beds
flow hydrodynamics
reactor performance
machine learning
SHAP
On-line přístup:https://www.tandfonline.com/doi/10.1080/19942060.2026.2670348
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Podobné jednotky