Generalization of the filtered reaction rate model for gas–solid flows incorporating power‐law kinetic

Abstract This work pursues a generalized filtered reaction rate (FRR) model for reactive gas–solid flows via fine‐grid two‐fluid model (TFM) simulations. The power‐law kinetic with various reaction orders ( n ) is considered. It is well known that the solid‐catalyzed reaction rate is bounded by the kinetic regime (KR) and external mass transfer‐controlled regime (EMTR). It is found that the FRR model maintains excellent predictive performance both for n > 1 in two different regimes and n < 1 in the KR. However, an underprediction is observed at n < 1 within the EMTR. Thus, a modified formula for the FRR model in the EMTR is proposed. Then a generalized FRR model is derived. The assessment for the model is performed via a priori analysis and a filtered TFM simulation. The priori analysis and filtered TFM simulations quantitatively demonstrate that the model exhibits robust predictive capability.

Authors

Institutions

Publication Details

Journal
AIChE Journal
Published
2025-10-16
DOI
https://doi.org/10.1002/aic.70108
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generalization of the filtered reaction rate model for gas–solid flows incorporating power‐law kinetic

Jixin Ma, Shaohua Du, Qiang Zhou, Zheqing Huang et al.
AIChE Journal
Granular flow and fluidized beds
article

Generalization of the filtered reaction rate model for gas–solid flows incorporating power‐law kinetic

Jixin Ma, Shaohua Du, Qiang Zhou, Zheqing Huang, Zheng Zhang, Bolun Yang
article en

Abstract

Abstract This work pursues a generalized filtered reaction rate (FRR) model for reactive gas–solid flows via fine‐grid two‐fluid model (TFM) simulations. The power‐law kinetic with various reaction orders ( n ) is considered. It is well known that the solid‐catalyzed reaction rate is bounded by the kinetic regime (KR) and external mass transfer‐controlled regime (EMTR). It is found that the FRR model maintains excellent predictive performance both for n > 1 in two different regimes and n < 1 in the KR. However, an underprediction is observed at n < 1 within the EMTR. Thus, a modified formula for the FRR model in the EMTR is proposed. Then a generalized FRR model is derived. The assessment for the model is performed via a priori analysis and a filtered TFM simulation. The priori analysis and filtered TFM simulations quantitatively demonstrate that the model exhibits robust predictive capability.

AIChE JournalVol. 72(1)
Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 69%
Granular flow and fluidized beds
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.