Optimization of yield and conversion rates in methane dry reforming using artificial neural networks and the multiobjective genetic algorithm

FN Alotaibi, AS Berrouk, M Saeed - Industrial & Engineering …, 2023 - ACS Publications
This research aimed to enhance the dry reforming of methane by integrating computational
fluid dynamics (CFD), artificial neural network (ANN), and multiobjective genetic algorithm …

Characterizing Flow and Transport in Biological Vascular Systems: A Review from Physiological and Chemical Engineering Perspectives

Z Chen, LT Zhu, ZH Luo - Industrial & Engineering Chemistry …, 2023 - ACS Publications
The investigation of biological fluidic mechanisms is a persistent topic of interest and offers
valuable inspiration to address the challenges confronting chemical engineering …

Homogeneous drag models in gas–solid fluidization: Big data analytics and conventional correlation

B Ouyang, LT Zhu, ZQ Wen, X Chen, ZH Luo - AIChE Journal, 2023 - Wiley Online Library
The drag force model is vital for capturing gas–solid flow dynamics in many simulation
approaches. Most of the homogeneous drag models in the literature are expressed as a …

Machine Learning Approaches to Close the Filtered Two-Fluid Model for Gas–Solid Flows: Models for Subgrid Drag Force and Solid Phase Stress

B Hardy, S Rauchenzauner, P Fede… - Industrial & …, 2024 - ACS Publications
Gas-particle flows are commonly simulated through a two-fluid model at the industrial scale.
However, these simulations need a very fine grid to have accurate flow predictions, which is …

Gas–solid reactor optimization based on EMMS-DPM simulation and machine learning

H Zhang, A Zhu, J Xu, W Ge - Particuology, 2024 - Elsevier
Abstract Design, scaling-up, and optimization of industrial reactors mainly depend on step-
by-step experiments and engineering experience, which is usually time-consuming, high …