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Antonello Raponi
Antonello Raponi
在 purdue.edu 的电子邮件经过验证
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Analysis of particles size distributions in Mg (OH) 2 precipitation from highly concentrated MgCl2 solutions
G Battaglia, S Romano, A Raponi, D Marchisio, M Ciofalo, A Tamburini, ...
Powder Technology 398, 117106, 2022
262022
The role of operating conditions in the precipitation of magnesium hydroxide hexagonal platelets using NaOH solutions
S Romano, S Trespi, R Achermann, G Battaglia, A Raponi, D Marchisio, ...
Crystal Growth & Design 23 (9), 6491-6505, 2023
172023
Computational modeling of magnesium hydroxide precipitation and kinetics parameters identification
A Raponi, S Romano, G Battaglia, A Buffo, M Vanni, A Cipollina, ...
Crystal Growth & Design 23 (7), 4748-4759, 2023
72023
Population balance modelling of magnesium hydroxide precipitation: Full validation on different reactor configurations
A Raponi, R Achermann, S Romano, S Trespi, M Mazzotti, A Cipollina, ...
Chemical Engineering Journal 477, 146540, 2023
52023
Mixing phenomena in circular and rectangular cross-sectional T-mixers: Experimental and numerical assessment
G Battaglia, S Romano, A Raponi, F Volpe, L Bellanca, M Ciofalo, ...
Chemical Engineering Research and Design 201, 228-241, 2024
22024
Computational Modeling of the Impact of Solid Particles on the Gas Hold-Up in Slurry Bubble Columns
F Maniscalco, A Raponi, M Vanni, A Buffo
Chemical Engineering Transactions 86, 1141-1146, 2021
22021
Deep learning for kinetics parameters identification: A novel approach for multi-variate optimization
A Raponi, D Marchisio
Chemical Engineering Journal 489, 151149, 2024
12024
Triggering the Growth of Magnesium Hydroxide Crystals in Stirred Tank Crystallizers using Sodium Hydroxide Solutions
S Romano, S Trespi, R Achermann, G Battaglia, A Raponi, D Marchisio, ...
2024
Fundamental Research, Design and Process Optimization for Magnesium Hydroxide Precipitation: Development and Application of Modelling Tools to Support the Circular Economy
A Raponi
Politecnico di Torino, 2024
2024
Machine learning for multivariate parameter identification of first-principle model: the Mg (OH) 2 test case
A Raponi, A Marcato, G Boccardo, A Buffo, M Vanni, D Marchisio
-, 2023
2023
Mixing Influence on Magnesium Hydroxide Precipitation: Computational Modelling and Kinetics Identification
A Raponi, R Achermann, S Trespi, S Romano, G Battaglia, A Cipollina, ...
-, 2023
2023
Characterization of magnesium hydroxide from highly concentrated MgCl2 solutions
S Romano, G Battaglia, A Raponi, D Marchisio, M Ciofalo, A Tamburini, ...
2022
Identification of Mg (OH) 2 precipitation kinetics with population balances and CFD
A Raponi, G Battaglia, S Romano, A Cipollina, A Buffo, G Boccardo, ...
2022
Modelling and Identification of Mg (OH) 2 precipitation kinetics from highly concentrated Mg2+ solutions
A Raponi, F Volpe, G Battaglia, S Romano, A Cipollina, A Buffo, ...
2022
Volume and number average sizes of Mg (OH) 2 particles from concentrated Mg2+ containing solutions
G Battaglia, S Romano, A Raponi, D Marchisio, M Ciofalo, A Tamburini, ...
2022
CFD-PBM simulation of Mg (OH) 2 precipitation from saltwork brine
A Raponi, G Montalbano, G Battaglia, S Romano, A Buffo, G Boccardo, ...
Book of Abstracts, 2021
2021
Modellizzazione di colonne a bolle slurry: regimi fluido-dinamici ed effetto del solido sospeso= Modelling of slurry bubble columns: fluid dynamic regimes and role of suspended …
A Raponi
Politecnico di Torino, 2020
2020
Deep Learning for Kinetics Parameters Identification: A Novel Approach for Multi-Objective Optimization
A Raponi, D Marchisio
Available at SSRN 4717601, 0
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