Project Description
My research is focused on advancing the modelling and simulation of complex chemical
processes, with a particular emphasis on reactive crystallization. Utilizing
Computational Fluid Dynamics (CFD) and Population Balance Models (PBM), I aim to develop
accurate and reliable predictive tools that enhance our understanding and control of
these processes.
A key component of my work involves integrating machine learning techniques to optimize
model parameters, thereby improving the precision and robustness of the simulations.
This approach not only allows for more accurate predictions but also facilitates the
exploration of novel strategies for process optimization.
In addition to model development and validation, my research is geared towards applying
these models to the design and optimization of prototype systems. By translating
simulation insights into practical applications, I seek to drive innovations in process
engineering that lead to more efficient, scalable, and sustainable industrial processes.
Ultimately, my goal is to contribute to the creation of advanced tools and methodologies
that can be applied across a range of chemical engineering challenges, enabling the
design of processes that are both economically and environmentally sustainable.
Publications and Presentations
Journal Publications
- Raponi, A.; Marchisio, D. "Deep Learning for Kinetics Parameters
Identification: A Novel Approach for Multi-Variate Optimization." Chemical
Engineering Journal 2024, 489, 151149.
- Raponi, A.; Romano, S.; Battaglia, G.; Buffo, A.; Vanni, M.;
Cipollina, A.; Marchisio, D. "Computational Modeling of Magnesium Hydroxide
Precipitation and Kinetics Parameters Identification." Cryst Growth Des
2023, 23 (7),
4748–4759.
- Raponi, A.; Achermann, R.; Romano, S.; Trespi, S.; Mazzotti, M.;
Cipollina, A.;
Buffo, A.; Vanni, M.; Marchisio, D. "Population Balance Modelling of Magnesium
Hydroxide Precipitation: Full Validation on Different Reactor Configurations."
Chemical Engineering Journal 2023, 477, 146540.
- Battaglia, G.; Romano, S.; Raponi, A.; Marchisio, D.; Ciofalo, M.;
Tamburini, A.;
Cipollina, A.; Micale, G. "Analysis of Particles Size Distributions in Mg(OH)2
Precipitation from Highly Concentrated MgCl2 Solutions." Powder Technol
2022, 398
(Article 117106), 1–10.
- Maniscalco, F.; Raponi, A.; Vanni, M.; Buffo, A. "Computational
Modeling of the
Impact of Solid Particles on the Gas Hold-up in Slurry Bubble Columns." Chem Eng
Trans 2021, 86.
- Romano, S.; Trespi, S.; Achermann, R.; Battaglia, G.; Raponi, A.;
Marchisio, D.;
Mazzotti, M.; Micale, G.; Cipollina, A. "The Role of Operating Conditions in the
Precipitation of Magnesium Hydroxide Hexagonal Platelets Using NaOH Solutions."
Cryst
Growth Des 2023, 23 (9), 6491–6505.
- Battaglia, G.; Romano, S.; Raponi, A.; Volpe, F.; Bellanca, L.;
Ciofalo, M.;
Marchisio, D.; Cipollina, A.; Micale, G.; Tamburini, A. "Mixing Phenomena in
Circular
and Rectangular Cross-Sectional T-Mixers: Experimental and Numerical Assessment."
Chemical Engineering Research and Design 2023.
Conference Presentations
- (Oral) Raponi, Antonello; Marchisio, Daniele
"Integration of Deep Learning and 3D CFD-PBM Model for Characterizing Mg(OH)2
Precipitation" 15th International Conference on Industrial Applications of
Computational Fluid Dynamics, Norway June 11-13, 2024
- (Oral) Raponi, Antonello; Marchisio, Daniele "Machine learning
for
multivariate parameter identification of first-principle model:
the Mg(OH)2 test case" Jahrestreffen der DECHEMA/VDI-Fachgruppen
Grenzflächenbestimmte Systeme und
Prozesse, Kristallisation, Mechanische Flüssigkeitsabtrennung und
Partikelmesstechnik, Frankfurt Feb 27-28, 2024
- (Oral) Raponi, Antonello; Achermann, Ramona; Trespi, Silvio;
Romano, Salvatore; Battaglia,
Giuseppe; Cipollina, Andrea; Mazzotti, Marco; Buffo, Antonio; Vanni, Marco;
Marchisio, Daniele "Mixing Influence on Magnesium Hydroxide Precipitation:
Computational Modelling and
Kinetics Identification"
Mixing17, Porto
July 2–6, 2023
- (Oral) Raponi, Antonello; Marcato, Agnese; Boccardo, Gianluca;
Buffo, Antonio; Vanni,
Marco; Marchisio, Daniele "Machine learning for multivariate parameter
identification of first-principle model:
the Mg(OH)2 test case" ISIC 22 - 22nd International Symposium on Industrial
Crystallization, Glasgow
September 4–8, 2023
- (Oral) Raponi, Antonello; Battaglia, Giuseppe; Romano, Salvatore;
Cipollina, Andrea; Buffo,
Antonio; Boccardo, Gianluca; Vanni, Marco; Marchisio, Daniele
"Identification of Mg(OH)2 precipitation kinetics with population balances and
CFD
PBM" 2022, Lyon
May 9–11, 2022
- (Oral) Raponi, Antonello; Volpe, Francesco; Battaglia, Giuseppe;
Romano, Salvatore;
Cipollina, Andrea; Buffo, Antonio; Boccardo, Gianluca; Vanni, Marco; Marchisio,
Daniele "Modelling and Identification of Mg(OH)2 precipitation kinetics from
highly
concentrated Mg2+ solutions"
WCPT9, Madrid
September 18–22, 2022
- (Poster) Raponi, Antonello; Montalbano, Giuseppe; Buffo, Antonio;
Boccardo, Gianluca; Vanni,
Marco; Marchisio, Daniele; Battaglia, Giuseppe; Romano, Salvatore
"CFD-PBM simulation of Mg(OH)2 precipitation from saltwork brine
ISIC 21 - 21st International Symposium on Industrial Crystallization",
Berlin
(online)
August 30 – September 2, 2021
Experience
- Post Doctoral Research Assistant, Politecnico di Torino (May 2024 – July 2024)
Awards
-
“Best Student of M.S. course in Chemical Engineering 2020”, Politecnico di Torino
Education
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