Artificial Neural Network-Based Non-Linear Modeling and Simulation of CaO-SiO2-Al2O3-MgO Blast Furnace Slag Viscosity DOI Open Access

Patrick dos Anjos,

Jorge Luís Coleti, Eduardo Junca

et al.

Minerals, Journal Year: 2024, Volume and Issue: 14(11), P. 1160 - 1160

Published: Nov. 16, 2024

Blast furnace slags are formed by CaO-SiO2-Al2O3-MgO systems and have several physical characteristics, one of which is viscosity. Viscosity an important variable for the operation blast performance. This work aimed to model viscosity through linear non-linear models in order obtain a with precision accuracy. The best constructed was artificial neural networks that presented 23 nodes first hidden layer 24 second 6 input variables 1 output named ANN 23-24. 23-24 obtained better statistical evaluations relation 11 different literature equations predicting systems. also subjected numerical simulations demonstrate validation applications such as prediction, calculation inflection point curve temperature, construction ternary diagrams data, iso-viscosity curves.

Language: Английский

Effect of the Al2O3 Content and MgO/Al2O3 Ratio on the Viscosity and Structure of CaO–SiO2–MgO–Al2O3-Based Furnace Slag with CaO/SiO2 = 1.2 DOI
Jianwei Song, Lei He, Tu Hu

et al.

Metallurgical and Materials Transactions B, Journal Year: 2024, Volume and Issue: 55(5), P. 3798 - 3810

Published: July 29, 2024

Language: Английский

Citations

4
Physicochemical Properties of CaO–SiO2–MgO–Al2O3–Na2SiO3 Slag: Dependence on Al2O3 Content DOI

Qingshi Song,

Wenguo Liu,

Haibin Zuo

et al.

Journal of Sustainable Metallurgy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Language: Английский

Citations

0
Thermophysical properties and structural characterization of high-Al2O3 aluminosilicate slag melts: Effect of Al2O3 addition methods DOI
Shuo Zhang, Yong Hou, Jia Guo

et al.

Ceramics International, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0
Valorization of municipal solid waste incineration fly ash for mineral wool fiber production: Effects on vitrification process and melt viscosity DOI
Yike Zhang, Zengyi Ma, Guangquan Zhang

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: 13(3), P. 116882 - 116882

Published: May 9, 2025

Language: Английский

Citations

0
Fluidity and Structure of CaO–Al2O3–MgO–V2O3 Slag for Smelting Al–V Alloys: Influence of CaO/Al2O3 Ratio DOI
Yong Hou, Jia Guo, Xuewei Lv

et al.

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

Published: Dec. 10, 2024

Language: Английский

Citations

1
Artificial Neural Network-Based Non-Linear Modeling and Simulation of CaO-SiO2-Al2O3-MgO Blast Furnace Slag Viscosity DOI Open Access

Patrick dos Anjos,

Jorge Luís Coleti, Eduardo Junca

et al.

Minerals, Journal Year: 2024, Volume and Issue: 14(11), P. 1160 - 1160

Published: Nov. 16, 2024

Blast furnace slags are formed by CaO-SiO2-Al2O3-MgO systems and have several physical characteristics, one of which is viscosity. Viscosity an important variable for the operation blast performance. This work aimed to model viscosity through linear non-linear models in order obtain a with precision accuracy. The best constructed was artificial neural networks that presented 23 nodes first hidden layer 24 second 6 input variables 1 output named ANN 23-24. 23-24 obtained better statistical evaluations relation 11 different literature equations predicting systems. also subjected numerical simulations demonstrate validation applications such as prediction, calculation inflection point curve temperature, construction ternary diagrams data, iso-viscosity curves.

Language: Английский

Citations

0