Review of machine learning for hydrodynamics, transport, and reactions in multiphase flows and reactors

LT Zhu, XZ Chen, B Ouyang, WC Yan… - Industrial & …, 2022 - ACS Publications
Artificial intelligence (AI), machine learning (ML), and data science are leading to a
promising transformative paradigm. ML, especially deep learning and physics-informed ML …

[HTML][HTML] Digital Twin-driven multi-scale characterization of machining quality: current status, challenges, and future perspectives

X Fu, S Li, H Song, Y Lu - Robotics and Computer-Integrated Manufacturing, 2025 - Elsevier
The evolution of manufacturing towards intelligent and digital processes requires innovation
in machining quality control. While current research primarily addresses single-scale quality …

A novel optimized decomposition method for Smoluchowski's aggregation equation

S Kaushik, R Kumar - Journal of Computational and Applied Mathematics, 2023 - Elsevier
The Smoluchowski's aggregation equation has applications in the field of bio-
pharmaceuticals (Zidar et al., 2018 [1]), financial sector (Pushkin et al., 2004 [2]), aerosol …

Elastic modulus identification of particles in particulate composite through nanoindentation

P Ying, Y Xia - International Journal of Mechanical Sciences, 2023 - Elsevier
The characterization of the constitutive behavior of embedded particles is crucial for the
mechanical analysis of functional particulate composites. However, current methods for …

Laplace transform‐based approximation methods for solving pure aggregation and breakage equations

S Kaushik, S Hussain, R Kumar - Mathematical Methods in the …, 2023 - Wiley Online Library
The varied applications of the aggregation and breakage equations in several fields of
science have attracted many researchers to explore accurate novel methods to calculate …

[HTML][HTML] Effect of oil content on pin-milling of soybean

RGA Politiek, ME Bruins, JK Keppler… - Journal of Food …, 2022 - Elsevier
Milling is a critical step to prepare plant-based food ingredients by dry fractionation. It should
provide a dispersible flour of finely milled particles composed of different cellular …

Physics-informed deep learning for modelling particle aggregation and breakage processes

X Chen, LG Wang, F Meng, ZH Luo - Chemical Engineering Journal, 2021 - Elsevier
Particle aggregation and breakage phenomena are widely found in various industries such
as chemical, agricultural and pharmaceutical processes. In this study, a physics-informed …

Use of multiscale data-driven surrogate models for flowsheet simulation of an industrial zeolite production process

V Skorych, M Buchholz, M Dosta, HK Baust, M Gleiß… - Processes, 2022 - mdpi.com
The production of catalysts such as zeolites is a complex multiscale and multi-step process.
Various material properties, such as particle size or moisture content, as well as operating …

Investigation on crushing behavior and cumulative deformation prediction of slag under cyclic loading

Y Chen, L Zhang, L Xu, S Zhou, P Zhang… - Transportation …, 2023 - Elsevier
This investigation aims to explore the crushing behavior and cumulative deformation of slag
under cyclic loading by both cyclic triaxial simulation tests through PFC5. 0 3D and in-situ …

[HTML][HTML] Establishing an oblique impact breakage master curve using a DEM bonded contact model

LG Wang, R Ge, X Chen - Computers and Geotechnics, 2022 - Elsevier
This paper aims to establish a breakage master curve of oblique impact using a DEM
bonded contact model. Despite numerous advantages of particle impact breakage by DEM …