Artificial neural network to predict the power number of agitated tanks fed by CFD simulations

V Bibeau, L Barbeau, DC Boffito… - The Canadian Journal of …, 2023 - Wiley Online Library
The power consumption of the agitator is a critical variable to consider in the design of a
mixing system. It is generally evaluated through a dimensionless number known as the …

[HTML][HTML] Neural network prediction of slurry erosion wear of Ni-WC coated stainless steel 420

S Kumar, SK Chandra, S Dixit, K Kumar, S Kumar… - Metals, 2022 - mdpi.com
In the present study, Erosion wear of stainless steel 420 was predicted using an artificial
neural network (ANN). Stainless steel 420 is used for making slurry transportation …

CFD modeling of pilot-scale pump-mixer: Single-phase head and power characteristics

KK Singh, SM Mahajani, KT Shenoy… - Chemical Engineering …, 2007 - Elsevier
The present work involves single-phase computational fluid dynamics (CFD) simulations of
continuous flow pump-mixer employing top-shrouded Rushton turbines with trapezoidal …

A machine-learning approach to predicting the energy conversion performance of centrifugal pump impeller influenced by blade profile

Y Wu, R Tao, D Zhu, Z Yao… - Proceedings of the …, 2021 - journals.sagepub.com
Centrifugal pump is a kind of energy conversion machine for fluid delivering. It transfers the
mechanical energy of impeller to the potential and kinetic energy of fluid. As a key factor in …

Predicting effective viscosity of magnetite ore slurries by using artificial neural network

MP Deosarkar, VS Sathe - Powder technology, 2012 - Elsevier
In this paper, we study the theoretical models for effect of various parameters used for
predicting viscosity of magnetite ore slurry. These models are fitted using data collected from …

Artificial neural network based modeling of performance characteristics of deep well pumps with splitter blade

M Gölcü - Energy Conversion and Management, 2006 - Elsevier
Experimental studies were made to investigate the effects of splitter blade length (25%, 35%,
50%, 60% and 80% of the main blade length) on the pump characteristics of deep well …

CFD modeling of pump‐mix action in continuous flow stirred tank

KK Singh, SM Mahajani, KT Shenoy, SK Ghosh - AIChE journal, 2008 - Wiley Online Library
The present work involves Computational Fluid Dynamics (CFD) modeling and validation of
head and power characteristics of a Top Shrouded Turbine with Nonradial Rectangular …

Simulation-based optimization methodology for offshore natural gas liquefaction process design

K Song, S Lee, S Shin, HJ Lee… - Industrial & Engineering …, 2014 - ACS Publications
A simulation-based optimization framework is introduced. First, a base case design is
conducted using the commercial simulator. Then, design variables are decided. Next …

CFD—ANN study on axial dispersion in helical and serpentine millimetric coils

N Sen, KK Singh, KT Shenoy - Chemical Engineering …, 2025 - Taylor & Francis
CFD simulations are reported to compare hydrodynamic/axial dispersion in a classical
helical-shaped and planar serpentine-shaped tubular reactor at a millimetric scale (1-5 mm) …

Head–flow characteristics of pump-mix mixers

C Srilatha, AR Savant, AW Patwardhan… - … and Processing: Process …, 2008 - Elsevier
The hydrodynamic characteristics of pump-mixers have been studied in the present work.
The effect of different geometrical parameters on the head–flow characteristics of the system …