Powder Technology, Journal Year: 2024, Volume and Issue: unknown, P. 120295 - 120295
Published: Sept. 1, 2024
Language: Английский
Powder Technology, Journal Year: 2024, Volume and Issue: unknown, P. 120295 - 120295
Published: Sept. 1, 2024
Language: Английский
Annual Reviews in Control, Journal Year: 2024, Volume and Issue: 58, P. 100973 - 100973
Published: Jan. 1, 2024
Language: Английский
Citations
4Powder Technology, Journal Year: 2025, Volume and Issue: unknown, P. 120736 - 120736
Published: Feb. 1, 2025
Language: Английский
Citations
0Powder Technology, Journal Year: 2025, Volume and Issue: unknown, P. 120947 - 120947
Published: March 1, 2025
Language: Английский
Citations
0Membranes, 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
2Powder Technology, Journal Year: 2024, Volume and Issue: 448, P. 120233 - 120233
Published: Aug. 31, 2024
Language: Английский
Citations
2Metallurgical and Materials Transactions B, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 26, 2024
Language: Английский
Citations
1Separation and Purification Technology, Journal Year: 2024, Volume and Issue: unknown, P. 131075 - 131075
Published: Dec. 1, 2024
Language: Английский
Citations
1Expert Systems, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 13, 2024
ABSTRACT Dragon boat racing, a popular aquatic folklore team sport, is traditionally held during the Boat Festival. Inspired by this event, we propose novel human‐based meta‐heuristic algorithm called dragon optimization (DBO) in paper. It models unique behaviours of each crew member on race introducing social psychology mechanisms (social loafing, incentive). Throughout process, focus interaction and collaboration among members, as well their decision‐making various situations. During iteration, DBO implements different state updating strategies. By accurately modelling crew's behaviour employing adaptive update strategies, consistently achieves high performance, validated comprehensive testing 29 benchmark functions 2 structural design problems. Experimental results indicate that outperforms 7 16 state‐of‐the‐art algorithms across these test problems, respectively.
Language: Английский
Citations
1Powder Technology, Journal Year: 2024, Volume and Issue: unknown, P. 120295 - 120295
Published: Sept. 1, 2024
Language: Английский
Citations
0