Cited by Particulate Matter 2.5 concentration prediction system based on uncertainty analysis and multi-model integration

Multi-objective optimization of hydrocyclones using meta-heuristic algorithms and preference-informed decision-making DOI

Cong Tan, Hongwei Hu,

Qing Ye

et al.

Powder Technology, Journal Year: 2024, Volume and Issue: 444, P. 120050 - 120050

Published: July 4, 2024

Language: Английский

Citations

Prediction of bend-pipeline erosion field based on CFD and Reduced Order Method DOI

Lei Mu, Shiyang He, Sheng Chen

et al.

Chemical Engineering and Processing - Process Intensification, Journal Year: 2025, Volume and Issue: unknown, P. 110320 - 110320

Published: April 1, 2025

Language: Английский

Citations

Performance enhancement of cyclone deoiling for oily sludge based on BP neural network model and genetic algorithm DOI

Shifan Zhang,

Jiwei Wu, Bin Gong

et al.

Powder Technology, Journal Year: 2025, Volume and Issue: unknown, P. 121029 - 121029

Published: April 1, 2025

Language: Английский

Citations

Hydrodynamic Evaluation of a Filtering Hydrocyclone for Solid Particle/Water Separation DOI

Daniel C. M. Cavalcante,

Hortência Luma Fernandes Magalhães, Severino Rodrigues de Farias Neto

et al.

Membranes, Journal Year: 2024, Volume and Issue: 14(8), P. 171 - 171

Published: Aug. 6, 2024

A conventional hydrocyclones is a versatile equipment with high processing capacity and low maintenance cost. Currently, several studies aim to alter the typical structure of hydrocyclone in order modify its performance purpose. For this, filtering have emerged, where porous membrane replaces conic or cylindrical wall. During operation this equipment, addition traditionally observed streams (feed, underflow, overflow), there liquid stream resulting from filtration process, commonly referred as filtrate. This work proposes numerically investigate solid particle/liquid water separation process using commercial software Ansys CFX® 15.0. The proposed mathematical model for study considers three-dimensional, steady state turbulent flow, Eulerian–Eulerian approach Shear Stress Transport (SST) turbulence model. presents analyzes volume fraction, velocity, pressure fields, along flowlines velocity profiles. results indicate that effectively captures fluid dynamic behavior within hydrocyclone, highlighting higher pressures near concentration particles conical region, being more concentrated part hydrocyclone. Additionally, findings show volumetric flow rate filtrate significantly influences internal dynamics, demonstrating gradients compared

Language: Английский

Citations

An optimization framework for achieving optimal hydrocyclone's performance aligning with decision-makers' preferences DOI

E Dianyu,

Cong Tan, Qing Ye

et al.

Powder Technology, Journal Year: 2024, Volume and Issue: 448, P. 120233 - 120233

Published: Aug. 31, 2024

Language: Английский

Citations

A New Method to Predict Endpoint Phosphorus Content During Converter Steelmaking Process via Industrial Data and Mechanism Analysis DOI

Mingmei Zhu,

Chenghong Li,

Xianwu Zhang

et al.

Metallurgical and Materials Transactions B, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 26, 2024

Language: Английский

Citations

A Dynamic Control Model of Basic Oxygen Furnace Last Blowing Stage Based on Improved Conditional Generative Adversarial Network DOI

Qianqian Dong, Min Li,

Shuaijie Hu

et al.

Metallurgical and Materials Transactions B, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 25, 2024

Language: Английский

Citations

Particulate Matter 2.5 concentration prediction system based on uncertainty analysis and multi-model integration DOI

Yamei Chen, Jianzhou Wang, Runze Li

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 958, P. 177924 - 177924

Published: Dec. 9, 2024

Language: Английский

Citations