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Alberto Procacci
Alberto Procacci
PHD Student, Université Libre de Bruxelles
在 ulb.be 的电子邮件经过验证
标题
引用次数
引用次数
年份
Multi-scale proper orthogonal decomposition analysis of instabilities in swirled and stratified flames
A Procacci, MM Kamal, MA Mendez, S Hochgreb, A Coussement, ...
Physics of Fluids 34 (12), 2022
142022
Adaptive digital twins of combustion systems using sparse sensing strategies
A Procacci, R Amaduzzi, A Coussement, A Parente
Proceedings of the Combustion Institute 39 (4), 4257-4266, 2023
132023
Digital Twin for Experimental Data Fusion Applied to a Semi-Industrial Furnace Fed with H2-Rich Fuel Mixtures
A Procacci, M Cafiero, S Sharma, MM Kamal, A Coussement, A Parente
Energies 16 (2), 662, 2023
72023
Analysis of the information overlap between the PIV and OH* chemiluminescence signals in turbulent flames using a sparse sensing framework
A Procacci, MM Kamal, S Hochgreb, A Coussement, A Parente
Combustion and Flame 257, 113004, 2023
42023
Parameter Estimation Using a Gaussian Process Regression-Based Reduced-Order Model and Sparse Sensing: Application to a Methane/Air Lifted Jet Flame
A Procacci, L Donato, R Amaduzzi, C Galletti, A Coussement, A Parente
Flow, Turbulence and Combustion 112 (3), 879-895, 2024
22024
Challenges and opportunities for the application of digital twins in hard-to-abate industries: A review
MA Hafeez, A Procacci, A Coussement, A Parente
Resources, Conservation and Recycling 209, 107796, 2024
12024
Incremental sampling methods for multi-fidelity surrogate modeling: Application on a furnace operating in MILD combustion conditions
A Özden, A Procacci, RM Galassi, F Contino, A Parente
Applied Thermal Engineering 246, 122902, 2024
12024
Computed tomography of chemiluminescence using a data-driven sparse sensing framework
A Procacci, R Amaduzzi, A Coussement, A Parente
Applied Thermal Engineering 255, 123918, 2024
2024
A multi-fidelity framework for developing digital twins of combustion systems from heterogeneous data: Application to ammonia combustion
A Özden, M Savarese, L Giuntini, A Procacci, RM Galassi, A Coussement, ...
Proceedings of the Combustion Institute 40 (1-4), 105608, 2024
2024
Effect of parametric uncertainty in numerical simulations of a hydrogen-fueled flameless combustion furnace using dimensionality reduction and non-linear regression
R Amaduzzi, A Procacci, A Piscopo, RM Galassi, A Parente
Proceedings of the Combustion Institute 40 (1-4), 105551, 2024
2024
A sparse sensing and Chemical Reactor Network based framework for the development of physics-based digital twins of combustion devices
M Savarese, A Procacci, S Iavarone, L Giuntini, W De Paepe, A Parente
Proceedings of the Combustion Institute 40 (1-4), 105536, 2024
2024
Integrating data assimilation and sparse sensing for updating a digital twin of a semi-industrial furnace
L Donato, MM Kamal, A Procacci, M Cafiero, S Sharma, C Galletti, ...
Proceedings of the Combustion Institute 40 (1-4), 105284, 2024
2024
Incremental sampling methods for multi-fidelity surrogate modelling of a MILD combustion furnace
A Özden, A Procacci, R Malpica Galassi, F Contino, A Parente
APPLIED THERMAL ENGINEERING, 2024
2024
Application of β-variational autoencoders to develop digital twin of a furnace operating in MILD combustion
R Da Silva Machado De Freitas, A Procacci, R Malpica Galassi, A Parente
2023
Development of the reduced-order model of a turbulent swirling flame for the detection of instabilities using non-linear modal analysis
A Procacci, A Renaud, A Parente, A Coussement
2023
Correlating OH and OH* in Nonpremixed MILD Combustion using RANS and DNS datasets
A Procacci, MM Kamal, H Dave, A Coussement, A Parente, ...
2021
Effects of operating pressure on the cathode surface temperature and current profile in a plasma arc cutting torch
E Ghedini, A Procacci
ISPC 22-22nd International Symposium on Plasma Chemistry, 2015
2015
Application of 𝛽-variational autoencoders to develop digital twin of a furnace operating in MILD combustion: M2P-A NEW ECCOMAS THEMATIC CONFERENCE & IACM SPECIAL INTEREST …
RSM Freitas, A Procacci, A Parente
Correlating OH and OH* in Nonpremixed MILD combustion using DNS and RANS datasets
A Procacci, MM Kamal, H Dave, A Coussement, A Parente, ...
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